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his paper examines whether investor mood, driven by World Health Organization (WHO) alerts and media news on globally dangerous diseases, is priced in pharmaceutical companies' stocks in the United States. We concentrate on irrational investors who buy and sell pharmaceutical companies' stocks guided by beliefs as opposed to rational expectations. We argue that disease-related news (DRNs) should not trigger rational trading. We find that DRNs have a positive and significant sentiment effect among investors (on Wall Street). The effect is stronger (weaker) for small (large) companies, who are less (more) likely to engage in the development of new vaccines in the wake of DRNs. A potential negative mood (on Main Street) – induced by disease related fear – does not alter the positive sentiment effect. Our findings give rise to profitable trading strategies leading to significantly positive performances. Overall, this unparalleled research shows that large events of devastating nature to the economy can be considered as good news to some groups of interest, such as stock market traders.
When estimating misspecified linear factor models for the cross-section of expected returns using GMM, the explanatory power of these models can be spuriously high when the estimated factor means are allowed to deviate substantially from the sample averages. In fact, by shifting the weights on the moment conditions, any level of cross-sectional fit can be attained. The mathematically correct global minimum of the GMM objective function can be obtained at a parameter vector that is far from the true parameters of the data-generating process. This property is not restricted to small samples, but rather holds in population. It is a feature of the GMM estimation design and applies to both strong and weak factors, as well as to all types of test assets.
Auf die Fragen kommt es an: "Woher kommt der Mensch? wo will er hin? – und warum um alles in der Welt ist er da nicht geblieben?" Der Meister zirkulärer Sinnsuche hat als Fragender seine beste Rolle gefunden und damit den postheroischen Typus Mensch erschaffen, der in der Vieldeutigkeit der Welt erleichtert seinen Unfrieden findet: damit, dass Pazifisten Kriege verteidigen, dass die Außerparlamentarischen eine Partei gründen, dass die Konservativen die interessanteren Zeitungen machen und die Komik zur wirksamsten Waffe gegen Dummheit und Schmerz geworden ist. Matthias Beltz hat beiläufig mit Lebensweisheiten und assoziativ aufgetürmtem Scharfsinn nicht nur seine Fragen bewaffnet, in denen gewagte Antworten ihren vitalen Keim austreiben, sondern auch das Misstrauen gesät gegenüber politisch korrekten, nachgeplapperten und smarten Antworten. ...
Zeit seines Lebens beschäftigte sich Goethe mit ökonomischen Theorien; in seinem dichterischen Werk entwarf er wirtschaftliche Visionen, die das späte 19. und das frühe 20. Jahrhundert übersahen. Seine positive Vision des Kapitalismus ist von einer Sittlichkeit durchdrungen, die extreme Formen des Erwerbsstrebens und der Ausbeutung hemmt. Dagegen steht Goethes Schreckensbild eines uns modern erscheinenden Kapitalismus, wie es im »Faust« beschworen wird.
We investigate the decisions of listed firms to go private once again. We start by revealing that while a significant number of firms which go public is VC-backed, an overproportional share of these VC-backed firms go private later on (they stay on the exchange for an average of 8.5 years). We interpret this very robust pattern such that IPOs of VC-backed firms are to a large extent a temporary rather than a permanent feature of the corporate governance of these firms. We investigate various potential hypotheses why VCs actually seem to be able to bring marginal firms to the exchange by relating the going-private decisions to various characteristics of the IPO market as well as to VC characteristics. We find strong support for the certification ability of VCs: more experienced and reputable VCs are more able to bring marginal firms to public exchanges via an IPOs. These marginal firms backed-by more reputable and experienced VCs are more likely to go private later on. Hence, our analysis suggests that IPOs backed by experienced VCs are most likely to be a temporary rather than the final stage in the life of the portfolio firm. We find no support that reputable VCs underprice their IPO-exits more implying that they have no need to leave more money on the table to take the marginal firms public.
We examine the degree to which competition amongst lenders interacts with the cyclicality in lending standards using a simple measure, the average physical distance of borrowers from banks’ branches. We propose that this novel measure captures the extent to which lenders are willing to stretch their lending portfolio. Consistent with this idea, we find a significant cyclical component in the evolution of lending distances. Distances widen considerably when credit conditions are lax and shorten considerably when credit conditions become tighter. Next, we show that a sharp departure from the trend in distance between banks and borrowers is indicative of increased risk taking. Finally, we provide evidence that as competition in banks’ local markets increases, their willingness to make loans at greater distance increases. Since average lending distance is easily measurable, it is potentially a useful measure for bank supervisors.
Peer effects can lead to better financial outcomes or help propagate financial mistakes across social networks. Using unique data on peer relationships and portfolio composition, we show considerable overlap in investment portfolios when an investor recommends their brokerage to a peer. We argue that this is strong evidence of peer effects and show that peer effects lead to better portfolio quality. Peers become more likely to invest in funds when their recommenders also invest, improving portfolio diversification compared to the average investor and various placebo counterfactuals. Our evidence suggests that social networks can provide good advice in settings where individuals are personally connected.
We propose three governance mechanisms pertinent to equity crowdfunding and campaign success through mitigating pronounced information asymmetries and agency problems. First, unlike IPOs for which the effect of Delaware incorporation has declined or disappeared over time, we propose Delaware incorporation matters a great deal for success in the new setting of equity crowdfunding. Second, we propose that security design is a critical tool for equity crowdfunding success and even more important than the limited 2-year financial statement disclosure. Third, we propose that platforms as intermediaries between entrepreneurs and investors play an important role in mitigating and sometimes exacerbating information asymmetries and agency problems. The population of equity crowdfunding campaigns from market inception in May 2016 to Q2, 2021 in the United States provides strong support for these propositions.
We argue two alternative routes that lead entrepreneurial start-ups to acquisition outcomes instead of liquidation. On one hand, acquisitions can come about through the control route with external financers such as venture capitalists (VCs). VCs take control through their board seats along with other contractual rights that can bring about changes in a start-up necessary to successfully attract a strategic acquirer. Consistent with this view, we show that VCs often replace the founding entrepreneur as CEO long before an acquisition exit. On the other hand, acquisitions can come about through advice and support provided to the start-up, such as that provided by an incubator or technology park. Based on a sample of 251 Crunchbase companies in the U.S. over the years 2007 to 2014, we present evidence that is strongly consistent with these propositions. Further, we show that the data indicate a tension between VC-backing of start-ups resident in technology parks insofar as such start-ups are slower to become, and less likely to be, acquired.
While the debate about the needs and merits of cryptocurrency regulation is ongoing, the unprecedented price hikes of cryptocurrencies towards the end of 2017 triggered a somewhat unexpected sort of regulation in the form of public statements by governments and financial supervisors. It kicked in rather quickly and turned out to be much more effective than imagined. These interventions can be identified as one of the main factors that drove asset prices down, thereby preventing destabilizing bubbles. The experience of the supervisory response to the cryptocurrency bubble of the past months keeps important insights for any prospective regulation of cryptocurrencies. First, public statements are a highly effective regulatory tool in the short term as they manage market expectations, a fact which is well-known as forward guidance in monetary policy. So far, the legal framework in the EU takes insufficient account of the regulatory role of public statements. Second, regulation needs to keep up with the incredible speed of fintech innovations. Some regulators addressed the challenge by adopting a ‘sandbox’ approach. However, the ‘sandbox’ approach clearly calls for international cooperation. To achieve a balance between safety and innovation, international cooperation should emulate the experimental character of sandboxes. One could conceive of a ‘sandbox for regulators’, an arrangement which would facilitate the exchange of information on regulatory initiatives among authorities but also the coordination of communication and forward guidance.
Veronika Grimm, Lukas Nöh, and Volker Wieland assess the possible development of government interest expenditures as a share of GDP for Germany, France, Italy and Spain. Until 2021, these and other member states could anticipate a further reduction of interest expenditure in the future. This outlook has changed considerably with the recent surge in inflation and government bond rates. Nevertheless, under reasonable assumptions current yield curves still imply that interest expenditure relative to GDP can be stabilized at the current level. The authors also review the implications of a further upward shift in the yield curves of 1 or 2 percentage points. These implications suggest significant medium-term risks for highly indebted member states with interest expenditure approaching or exceeding levels last observed on the eve of the euro area debt crisis. In light of these risks, governments of euro area member states should take substantive action to achieve a sustained decline in debt-to-GDP ratios towards safer levels. They bear the responsibility for making sure that government finances can weather the higher interest rates which are required to achieve price stability in the euro area.
The paper analyzes the incentive for the ECB to establish reputation by pursuing a restrictive policy right at the start of its operation. The bank is modelled as risk averse with respect to deviations of both inflation and output from her target. The public, being imperfectly informed about the bank’s preferences uses observed inflation as (imperfect) signal for the unknown preferences. Under linear learning rules - which are commonly used in the literature - a gradual build up of reputation is the optimal response. The paper shows that such a linear learning rule is not consistent with efficient signaling. It is shown that in a game with efficient signaling, a cold turkey approach - allowing for deflation - is optimal for a strong bank - accepting high current output losses at the beginning in order to demonstrate its toughness. JEL classification: D 82, E 58
We study the dispersion of debt maturities across time, which we call "granularity of corporate debt,'' using a model in which a firm's inability to roll over expiring debt causes inefficiencies, such as costly asset sales or underinvestment. Since multiple small asset sales are less costly than a single large one, firms diversify debt rollovers across maturity dates. We construct granularity measures using data on corporate bond issuers for the 1991-2012 period and establish a number of novel findings. First, there is substantial variation in granularity in that we observe both very concentrated and highly dispersed maturity structures. Second, observed variation in granularity supports the model's predictions, i.e. maturities are more dispersed for larger and more mature firms, for firms with better investment oppo
Greece: threatening recovery
(2015)
Despite the catastrophic phase between 2008 and the end of 2014, much of a previously unsustainable development has been corrected in Greece and there are clear signs that the deterioration came to a halt in 2014. But what is publicly known about the priorities of the newly elected Syriza government suggests that they may be going largely into the wrong direction.
The “European Green Deal” stipulates that the EU will become climate-neutral by 2050. This transformation requires enormous investments in all major sectors including energy, mobility, industrial manufacturing, real estate and farming. Although the EU Commission has announced that a total of EUR 1 trillion will be invested into the green transformation of the European economy over the next ten years, the majority of the investments must be financed by the private sector. Alongside many factors affecting a successful implementation of the Green Deal, a regulatory framework for the financial industry has to be established to facilitate the financing of sustainable investments. To that end, the European Sustainable Finance Strategy lays the foundation for a complex set of different measures that have been launched in recent years. This article provides a comprehensive overview of key regulatory initiatives such as the taxonomy regulation, the disclosure frameworks for both corporates and financial institutions and other aspects of financial market regulation that have already significantly improved the regulatory framework for sustainable finance. Nevertheless, some additional instruments could be considered, such as a reform of top management remuneration or the provision of tax incentives for green investments in the real economy, and these are briefly discussed.
Green finance upside down
(2021)
The financial sector plays an important role in financing the green transformation of the European economy. A critical assessment of the current regulatory framework for sustainable finance in Europe leads to ambiguous results. Although the level of transparency on ESG aspects of financial products has been significantly improved, it is questionable whether the complex, mainly disclosure-oriented architecture is sufficient to mobilise more private capital into sustainable investments. It should be discussed whether a minimum Taxonomy ratio or Green Asset Ratio has to be fulfilled to market a financial product as “green”. Furthermore, because of the high complexity of the regulation, it could be helpful for the understanding of private investors to establish a simplified green rating, based on the Taxonomy ratio, to facilitate the selection of green financial products.
The financial sector plays an important role in supporting the green transformation of the European economy. A critical assessment of the current regulatory framework for sustainable finance in Europe leads to ambiguous results. Although the level of transparency on environmental, social and governance aspects of financial products has improved significantly, it is questionable whether the complex, mainly disclosure-oriented architecture is sufficient to mobilise more private capital into sustainable investments. It should be discussed whether a minimum taxonomy ratio or Green Asset Ratio has to be fulfilled to market a financial product as “green”. Furthermore, because of the high complexity of the regulation, it could be helpful for private investors to establish a simplified green rating, based on the taxonomy ratio, to facilitate the selection of green financial products.
How does group identity affect belief formation? To address this question, we conduct a series of online experiments with a representative sample of individuals in the US. Using the setting of the 2020 US presidential election, we find evidence of intergroup preference across three distinct components of the belief formation cycle: a biased prior belief, avoid-ance of outgroup information sources, and a belief-updating process that places greater (less) weight on prior (new) information. We further find that an intervention reducing the salience of information sources decreases outgroup information avoidance by 50%. In a social learn-ing context in wave 2, we find participants place 33% more weight on ingroup than outgroup guesses. Through two waves of interventions, we identify source utility as the mechanism driving group effects in belief formation. Our analyses indicate that our observed effects are driven by groupy participants who exhibit stable and consistent intergroup preferences in both allocation decisions and belief formation across all three waves. These results suggest that policymakers could reduce the salience of group and partisan identity associated with a policy to decrease outgroup information avoidance and increase policy uptake.
This paper studies the relation between firm value and a firm's growth options. We find strong empirical evidence that (average) Tobin's Q increases with firm-level volatility. However, the significance mainly comes from R&D firms, which have more growth options than non-R&D firms. By decomposing firm-level volatility into its systematic and unsystematic part, we also document that only idiosyncratic volatility (ivol) has a significant effect on valuation. Second, we analyze the relation of stock returns to realized contemporaneous idiosyncratic volatility and R&D expenses. Single sorting according to the size of idiosyncratic volatility, we only find a significant ivol anomaly for non-R&D portfolios, whereas in a four-factor model the portfolio alphas of R&D portfolios are all positive. Double sorting on idiosyncratic volatility and R&D expenses also reveals these differences between R&D and non-R&D firms. To simultaneously control for several explanatory variables, we also run panel regressions of portfolio alphas which confirm the relative importance of idiosyncratic volatility that is amplified by R&D expenses.
Großer Beifall
(2012)
n der Literatur wird oftmals angeführt, dass die Grunderwerbsteuer weder aus Sicht des Äquivalenzprinzips noch aus Sicht des Leistungsfähigkeitsprinzips zu rechtfertigen ist und daher in einem modernen Steuersystem nichts verloren hätte. Das vorliegende Papier weist darauf hin, dass die Grunderwerbsteuer Parallelen zur Grundsteuer aufweist und sich, zumindest aus ökonomischer Sicht, in eine Grundsteuer umbauen ließe. Dies könnte insbesondere dann interessant sein, wenn die derzeitige deutsche Grundsteuer in eine reine Flächensteuer umgebaut wird, die den Wert der Bebauung unbesteuert lässt. Ein Umbau der Grunderwerbsteuer, bei der der Kaufpreis dynamisiert wird und dann einer jährlichen Steuer unterworfen wird, hat einige Vorteile. Diese resultieren daraus, dass der negative Effekt auf die Zahl der Immobilientransaktionen (Lock-in-Effekt) abgemildert würde. Könnte die Dynamisierung treffsicher an die regionale Immobilienpreisentwicklung angepasst werden, entfällt der Lock-in-Effekt für Immobilien, die bereits einmal der dynamisierten Grunderwerbsteuer unterworfen waren, sogar komplett. Dies hat nicht nur positive Effekte auf das Funktionieren des Wohnungs- und Arbeitsmarktes, sondern kann auch dem Problem der Share Deals entgegen wirken.
Seit einigen Jahren liefert die berufs- und wirtschaftspädagogisch orientierte Lehr-Lernforschung Erkenntnisse zum Zusammenhang von Fachwissen und Kompetenzentwicklung und entwickelt spezifische Verfahren zur Diagnose von Handlungskompetenz in beruflichen Domänen, für die im Dualen System ausgebildet wird. Dieses forschungsmethodische Instrumentarium wird zunehmend auch hinsichtlich der Zielgruppe des Bildungspersonals, allen voran der Lehrenden an beruflichen Schulen insbesondere in der ersten Phase ihrer Professionalisierung, eingesetzt.
Der vorliegende Band stellt außerdem Studien zum Kompetenzerwerb in verschiedenen Domänen, zu Methoden der Messung von Kompetenzentwicklung sowie zur didaktischen Gestaltung im Vordergrund. Hiermit sind immer auch Basisthemen der Entwicklung beruflicher Handlungskompetenz berührt, die die Grundlage des Dualen Systems darstellen, auch in der Analyse konsekutiver Ausbildungsformen.
Schließlich werden Fragen nach den Auswirkungen des demografischen Wandels auf die Entwicklungsmöglichkeiten beruflicher Schulen fokussiert, die in den nächsten Jahren sicherlich eine verstärkte Wahrnehmung und Bearbeitung durch die berufs- und wirtschaftspädagogische Forschung erhalten werden.
Der Beitrag führt in das sozialpsychologische Phänomen des Gruppendenkens ein. Kennzeichen und Gegenstrategien werden anhand von Zeugenaussagen vor dem Wirecard-Untersuchungsausschuss am Beispiel des Aufsichtsrats illustriert. Normative Implikationen de lege ferenda schließen sich an. Sie betreffen unabhängige Mitglieder (auch auf der Arbeitnehmerbank), Direktinformationsrechte im Unternehmen (unter Einschluss von Hinweisgebern) und den Investorendialog (auch mit Leerverkäufern).
In Deutschland ist die Wohneigentumsquote innerhalb der OECD am zweitniedrigsten. Eine wichtige Rolle spielt dabei die Wohnungspolitik, die hierzulande Anreize für das Mieten schafft. Neue Studien zeigen, dass eine veränderte Politik die Wohneigentumsquote erhöhen und die Vermögensungleichheit verringern könnte.
Guanxi Capitalism in China: the role of private enterprises and networks for economic development
(2011)
This dissertation sets out to analyze the socio-economic structures behind a variety of capitalism that relies heavily on traditional (and insofar out-dated) institutions, especially networks, for its success. The specifics and advantages of business networks for small firms are well established in the literature but it rarely refers to China. It is argued that although similarities exist, Chinese networks are different to their European counterparts and therefore play a more prominent role for the Chinese economic system than networks elsewhere do. Here, personal relations are not separated into a private and a business sphere or exchanged by contractual, and in Western thinking more rational, means of doing business. Personal relations expose comparative efficiency as they are chosen as the most capable instrument for the private sector in China which makes the system as successful as we can observe today.
Therefore, this dissertation will scrutinize the specific socio-economic environment of private firms and their networks in China, thereby dissecting a new form of Capitalism that extrapolates traditional institutions for its economic success and survival instead of supplanting and overwriting traditional socio-economic structures. This challenges Weber’s distinction between rational and traditional behavior and redefines the boundaries of economy, society and culture in a new way.
In many markets, design is one of the key factors in determining a product’s success. The present research offers insights into the role of design for the success of cars, and offers procedures to measure the quality of the designs objectively. The authors show that visual design plays a major role in a product’s success in the automobile market. In the study, two visual design aspects were already sufficient to significantly improve traditional sales forecasting models for cars. Visual prototypicality and visual complexity both had a positive impact on sales, and designs that were perceived as both prototypical and complex were the ones that displayed the best results. Most design evaluation used to be based on subjective measures, but the researcher applied a new, objective procedure to measure prototypicality and complexity. While the latter was detected by the disk space needed by the compressed image file, the new approach for measuring prototypicality was even more sophisticated. It relied on the technique of image morphing. Morphing is a technique that allows the construction of a visual synthesis – or average picture – from a number of individual pictures. Once a car morph is developed, one can determine the visual similarity of different car models to the morph in order to obtain its prototypicality. In principle, this procedure can be automated completely, and including a large number of versions is possible. These measures therefore seem suitable for supporting design decision processes in practice.
Despite the impressive success of deep neural networks in many application areas, neural network models have so far not been widely adopted in the context of volatility forecasting. In this work, we aim to bridge the conceptual gap between established time series approaches, such as the Heterogeneous Autoregressive (HAR) model (Corsi, 2009), and state-of-the-art deep neural network models. The newly introduced HARNet is based on a hierarchy of dilated convolutional layers, which facilitates an exponential growth of the receptive field of the model in the number of model parameters. HARNets allow for an explicit initialization scheme such that before optimization, a HARNet yields identical predictions as the respective baseline HAR model. Particularly when considering the QLIKE error as a loss function, we find that this approach significantly stabilizes the optimization of HARNets. We evaluate the performance of HARNets with respect to three different stock market indexes. Based on this evaluation, we formulate clear guidelines for the optimization of HARNets and show that HARNets can substantially improve upon the forecasting accuracy of their respective HAR baseline models. In a qualitative analysis of the filter weights learnt by a HARNet, we report clear patterns regarding the predictive power of past information. Among information from the previous week, yesterday and the day before, yesterday's volatility makes by far the most contribution to today's realized volatility forecast. Moroever, within the previous month, the importance of single weeks diminishes almost linearly when moving further into the past.
I have assessed changes in the monetary policy stance in the euro area since its inception by applying a Bayesian time-varying parameter framework in conjunction with the Hamiltonian Monte Carlo algorithm. I find that the estimated policy response has varied considerably over time. Most of the results suggest that the response weakened after the onset of the financial crisis and while quantitative measures were still in place, although there are also indications that the weakening of the response to the expected inflation gap may have been less pronounced. I also find that the policy response has become more forceful over the course of the recent sharp rise in inflation. Furthermore, it is essential to model the stochastic volatility relating to deviations from the policy rule as it materially influences the results.
In times of crisis, governments have strong incentives to influence banks’ credit allocation because the survival of the economy depends on it. How do governments make banks “play along”? This paper focuses on the state-guaranteed credit programs (SGCPs) that have been implemented in Europe to help firms survive the COVID 19 crisis. Governments’ capacity to save the economy depends on banks’ capacity to grant credit to struggling firms (which they would not be inclined to do spontaneously in the context of a global pandemic). All governments thus face the same challenge: How do they make sure that state guaranteed loans reach their desired target and on what terms? Based on a comparative analysis of the elaboration and implementation of SGCPs in France and Germany, this paper shows that historically-rooted institutionalized modes of coordination between state and bank actors have largely shaped the terms of the SGCPs in these two countries.
This paper examines the causes and consequences of hedge fund investments in exchange traded funds (ETFs) using U.S. data from 1998 to 2018. The data indicate that transient hedge funds and quasi-indexer hedge funds are substantially more likely to invest in ETFs. Unexpected hedge fund inflows cause a rise in ETF investments, and the economic significance of unexpected flow is more than twice as large for transient than quasi-indexer hedge funds. ETF investment is in general associated with lower hedge fund performance. But when ETF investment is accompanied by an increase in total flow and unexpected flow, the negative impact of ETF holdings on performance is mitigated. The data are consistent with the view that hedge fund ETF investment unrelated to unexpected flow is an agency cost of delegated portfolio management.
As past research suggest, currency exposure risk is a main source of overall risk of international diversified portfolios. Thus, controlling the currency risk is an important instrument for controlling and improving investment performance of international investments. This study examines the effectiveness of controlling the currency risk for international diversified mixed asset portfolios via different hedge tools. Several hedging strategies, using currency forwards and currency options, were evaluated and compared with each other. Therefore, the stock and bond markets of the, United Kingdom, Germany, Japan, Switzerland, and the U.S, in the time period of January 1985 till December 2002, are considered. This is done form the point of view of a German investor. Due to highly skewed return distributions of options, the application of the traditional mean-variance framework for portfolio optimization is doubtful when options are considered. To account for this problem, a mean-LPM model is employed. Currency trends are also taken into account to check for the general dependence of time trends of currency movements and the relative potential gains of risk controlling strategies.
In this paper, we calculate a transaction–based price index for apartments in Paris (France). The heterogeneous character of real estate is taken into account using an hedonic model. The functional form is specified using a general Box–Cox function. The data basis covers 84 686 transactions of the housing market in 1990:01–1999:12, which is one of the largest samples ever used in comparable studies. Low correlations of the price index with stock and bond indices (first differences) indicate diversification benefits from the inclusion of real estate in a mixed asset portfolio. JEL C43, C51, O18, R20.
Christine Laudenbach and Vincent Lindner: To promote financial education among children, young people, and adults in the long term, comprehensive information services must reach the entire population in Germany with the help of cooperation partners. Talking about finances can no longer be a taboo subject.
Empirical evidence suggests that investments in research and development (R&D) by older and larger firms are more spread out internationally than R&D investments by younger and smaller firms. In this paper, I explore the quantitative implications of this type of heterogeneity by assuming that incumbents, i.e. current monopolists engaging in incremental innovation, have a higher degree of internationalization in their R&D technologies than entrants, i.e. new firms engaging in radical innovation, in a two-country endogenous growth general equilibrium model. In particular, this assumption allows the model to break the perfect correlation between incumbents’ and entrants’ innovation probabilities and to match the empirical counterpart exactly.
We propose a new instrument for estimating the price elasticity of gasoline demand that exploits systematic differences across U.S. states in the pass-through of oil price shocks to retail gasoline prices. These differences, which are primarily driven by variation in the cost of producing and distributing gasoline, create cross-sectional dispersion in gasoline price growth in response to an aggregate oil price shock. We find that the elasticity was stable near -0.3 until the end of 2014, but subsequently rose to about -0.2. Our estimates inform the recent debate about gasoline-tax holidays and policies to reduce carbon emissions.
Small and medium-sized firms typically obtain capital via bank financing. They often rely on a mixture of relationship and arm’s-length banking. This paper explores the reasons for the dominance of heterogeneous multiple banking systems. We show that the incidence of inefficient credit termination and subsequent firm liquidation is contingent on the borrower’s quality and on the relationship bank’s information precision. Generally, heterogeneous multiple banking leads to fewer inefficient credit decisions than monopoly relationship lending or homogeneous multiple banking, provided that the relationship bank’s fraction of total firm debt is not too large.
Small and medium-sized firms typically obtain capital via bank financing. They often rely on a mixture of relationship and arm’s-length banking. This paper explores the reasons for the dominance of heterogeneous multiple banking systems. We show that the incidence of inefficient credit termination and subsequent firm liquidation is contingent on the borrower’s quality and on the relationship bank’s information precision. Generally, heterogeneous multiple banking leads to fewer inefficient credit decisions than monopoly relationship lending or homogeneous multiple banking, provided that the relationship bank’s fraction of total firm debt is not too large.
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a private signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their privately observed soft information is positive or negative. Competition affects the investment in learning the private signal from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect. Finally, we show that firms where soft information was important in the lending decision were no more likely to default compared to firms where only financial information was used.
In this paper we argue that very high marginal labor income tax rates are an effective tool for social insurance even when households have preferences with high labor supply elasticity, make dynamic savings decisions, and policies have general equilibrium effects. To make this point we construct a large scale Overlapping Generations Model with uninsurable labor productivity risk, show that it has a wealth distribution that matches the data well, and then use it to characterize fiscal policies that achieve a desired degree of redistribution in society. We find that marginal tax rates on the top 1% of the earnings distribution of close to 90% are optimal. We document that this result is robust to plausible variation in the labor supply elasticity and holds regardless of whether social welfare is measured at the steady state only or includes transitional generations.
We propose a shrinkage and selection methodology specifically designed for network inference using high dimensional data through a regularised linear regression model with Spike-and-Slab prior on the parameters. The approach extends the case where the error terms are heteroscedastic, by adding an ARCH-type equation through an approximate Expectation-Maximisation algorithm. The proposed model accounts for two sets of covariates. The first set contains predetermined variables which are not penalised in the model (i.e., the autoregressive component and common factors) while the second set of variables contains all the (lagged) financial institutions in the system, included with a given probability. The financial linkages are expressed in terms of inclusion probabilities resulting in a weighted directed network where the adjacency matrix is built “row by row". In the empirical application, we estimate the network over time using a rolling window approach on 1248 world financial firms (banks, insurances, brokers and other financial services) both active and dead from 29 December 2000 to 6 October 2017 at a weekly frequency. Findings show that over time the shape of the out degree distribution exhibits the typical behavior of financial stress indicators and represents a significant predictor of market returns at the first lag (one week) and the fourth lag (one month).
We study how the informativeness of stock prices changes with the presence of high-frequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence, market prices are a less reliable predictor of future cash flows and investment, even more so for longer horizons. Further, firm-level idiosyncratic volatility decreases, and the holdings and trades by institutional investors deviate less from the market-capitalization weighted portfolio as a benchmark. Our results document that the informativeness of prices decreases subsequent to the start of HFT. These findings are consistent with theoretical models of HFTs' ability to anticipate informed order flow, resulting in decreased incentives to acquire fundamental information.
We show that High Frequency Traders (HFTs) are not beneficial to the stock market during flash crashes. They actually consume liquidity when it is most needed, even when they are rewarded by the exchange to provide immediacy. The behavior of HFTs exacerbate the transient price impact, unrelated to fundamentals, typically observed during a flash crash. Slow traders provide liquidity instead of HFTs, taking advantage of the discounted price. We thus uncover a trade-o↵ between the greater liquidity and efficiency provided by HFTs in normal times, and the disruptive consequences of their trading activity during distressed times.
Die Mehrheit der auf High Frequency Trading basierenden Strategien trägt zur Marktliquidität (Market-Making-Strategien) oder zur Preisfindung und Markteffizienz (Arbitrage-Strategien) bei. Eine ungeeignete Regulierung dieser Strategien oder eine Beeinträchtigung der zugrunde liegenden Geschäftsmodelle durch übermäßige Belastungen kann kontraproduktiv sein und unvorhergesehene Auswirkungen auf die Marktqualität haben. Allerdings muss jede missbräuchliche Strategie effektiv durch die Aufsichtsbehörden bekämpft werden.
We extend the canonical income process with persistent and transitory risk to shock distributions with left-skewness and excess kurtosis, to which we refer as higher- order risk. We estimate our extended income process by GMM for household data from the United States. We find countercyclical variance and procyclical skewness of persistent shocks. All shock distributions are highly leptokurtic. The existing tax and transfer system reduces dispersion and left-skewness of shocks. We then show that in a standard incomplete-markets life-cycle model, first, higher-order risk has sizable welfare implications, which depend crucially on risk attitudes of households; second, higher-order risk matters quantitatively for the welfare costs of cyclical idiosyncratic risk; third, higher-order risk has non-trivial implications for the degree of self-insurance against both transitory and persistent shocks.
We extend the canonical income process with persistent and transitory risk to cyclical shock distributions with left-skewness and excess kurtosis. We estimate our income process by GMM for US household data. We find countercyclical variance and procyclical skewness of persistent shocks. All shock distributions are highly leptokurtic. The tax and transfer system reduces dispersion and left-skewness. We then show that in a standard incomplete-markets life-cycle model, first, higherorder risk has sizable welfare implications, which depend on risk attitudes; second, it matters quantitatively for the welfare costs of cyclical idiosyncratic risk; third, it has non-trivial implications for self-insurance against shocks.
Using data of US domestic mergers and acquisitions transactions, this paper shows that acquirers have a preference for geographically proximate target companies. We measure the ‘home bias’ against benchmark portfolios of hypothetical deals where the potential targets consist of firms of similar size in the same four-digit SIC code that have been targets in other transactions at about the same time or firms that have been listed at a stock exchange at that time. There is a strong and consistent home bias for M&A transactions in the US, which is significantly declining during the observation period, i.e. between 1990 and 2004. At the same time, the average distances between target and acquirer increase articulately. The home bias is stronger for small and relatively opaque target companies suggesting that local information is the decisive factor in explaining the results. Acquirers that diversify into new business lines also display a stronger preference for more proximate targets. With an event study we show that investors react relatively better to proximate acquisitions than to distant ones. That reaction is more important and becomes significant in times when the average distance between target and acquirer becomes larger, but never becomes economically significant. We interpret this as evidence for the familiarity hypothesis brought forward by Huberman (2001): Acquirers know about the existence of proximate targets and are more likely to merge with them without necessarily being better informed. However, when comparing the best and the worst deals, we are able to show a dramatic difference in distances and home bias: The most successful deals display on average a much stronger home bias and distinctively smaller distance between acquirer and target than the least successful deals. Proximity in M&A transactions therefore is a necessary but not sufficient condition for success. The paper contributes to the growing literature on the role of distance in financial decisions.
We present empirical evidence on the heterogeneity in monetary policy transmission across countries with different home ownership rates. We use household-level data together with shocks to the policy rate identified from high-frequency data. We find that housing tenure reacts more strongly to unexpected changes in the policy rate in Germany and Switzerland –the OECD countries with the lowest home ownership rates– compared with existing evidence for the U.S. An unexpected decrease in the policy rate by 25 basis points increases the home ownership rate by 0.8 percentage points in Germany and by 0.6 percentage points in Switzerland. The response of non-housing consumption in Switzerland is less heterogeneous across renters and mortgagors, and has a different pattern across age groups than in the U.S. We discuss economic explanations for these findings and implications for monetary policy.
Wir untersuchen, in welchem Ausmaß die Aktien deutscher Unternehmen im Zeitverlauf an ausländischen Börsen gehandelt werden. Es zeigt sich – nach anfänglich bedeutsamer Handelsaktivität im Ausland – ein ausgeprägter Rückfluss-Effekt nach Deutschland. Zweitnotierungen an ausländischen Börsen dienen der Verbreiterung der Aktionärsbasis und somit der Senkung der Kapitalkosten und letztendlich der Steigerung des Unternehmenswertes. Dazu ist ein ausreichendes Handelsvolumen an der ausländischen Börse unabdinglich. Daran gemessen sind die Auslandsnotierungen deutscher Unternehmen nicht erfolgreich. Dies ist jedoch nicht im gleichen Ausmaß für alle Unternehmen der Fall. Kleinere, wachsende Unternehmen und Unternehmen mit höherem Anteil des Auslandsumsatzes am Gesamtumsatz werden relativ stärker im Ausland gehandelt.
Homeownership rates differ widely across European countries. We document that part of this variation is driven by differences in the fraction of adults co-residing with their par-ents. Comparing Germany and Italy, we show that in contrast to homeownership rates per household, homeownership rates per individual are very similar during the first part of the life cycle. To understand these patterns, we build an overlapping-generations model where individuals face uninsurable income risk and make consumption-saving and housing tenure decisions. We embed an explicit intergenerational link between children and parents to cap-ture the three-way trade-off between owning, renting, and co-residing. Calibrating the model to Germany we explore the role of income profiles, housing policies, and the taste for inde-pendence and show that a combination of these factors goes a long way in explaining the differential life-cycle patterns of living arrangements between the two countries.
Homeownership rates differ widely across European countries. We document that part of this variation is driven by differences in the fraction of adults co-residing with their parents. Comparing Germany and Italy, we show that in contrast to homeownership rates per household, homeownership rates per individual are very similar during the first part of the life cycle. To understand these patterns, we build an overlapping-generations model where individuals face uninsurable income risk and make consumption-saving and housing tenure decisions. We embed an explicit intergenerational link between children and parents to capture the three-way trade-off between owning, renting, and co-residing. Calibrating the model to Germany we explore the role of income profiles, housing policies, and the taste for independence and show that a combination of these factors goes a long way in explaining the differential life-cycle patterns of living arrangements between the two countries.
Homeownership rates differ widely across European countries. We document that part of this variation is driven by differences in the fraction of adults co-residing with their parents. Comparing Germany and Italy, we show that in contrast to homeownership rates per household, homeownership rates per individual are very similar during the first part of the life cycle. To understand these patterns, we build an overlapping-generations model where individuals face uninsurable income risk and make consumption-saving and housing tenure decisions. We embed an explicit intergenerational link between children and parents to capture the three-way trade-off between owning, renting, and co-residing. Calibrating the model to Germany we explore the role of income profiles, housing policies, and the taste for independence and show that a combination of these factors goes a long way in explaining the differential life-cycle patterns of living arrangements between the two countries.
Wie lässt sich das anthropologische Fundament des Ordoliberalismus und der Sozialen Marktwirtschaft beschreiben? Welche Prämissen liegen ihm zugrunde? Ist ein derartiges Menschenbild überhaupt noch zeitgemäß? Welchen Gefahren ist es ausgesetzt und welche institutionellen Vorkehrungen lassen sich treffen? Diese und andere Fragen stehen im Mittelpunkt des nachfolgenden Essays. Dieser ist dabei wie folgt gegliedert: Das zweite Kapitel analysiert die anthropologischen Grundlagen des Ordoliberalismus. Ein Schwerpunkt liegt dabei auf dem kantischen ‚Programm der Freiheit als Autonomie‘. Das darauf folgende dritte Kapitel thematisiert mögliche Gefahrenpotenziale für eben jenes ordoliberale Menschenbild. Hierbei werden insbesondere die Vermachtung der Wirtschaft und die Instrumentalisierung und Funktionalisierung der Wissenschaft eingehender untersucht. Im vorletzten Kapitel schließlich werden die häufig vorgeschlagenen institutionellen Vorkehrungen kritisch evaluiert. Wichtige Beiträge hierzu stammen aus der Feder von Röpke (Clercs und Nobilitas naturalis) und Hayek (Zwei-Kammern-Verfassungsmodell).
It has been documented that vertical customer-supplier links between industries are the basis for strong cross-sectional stock return predictability (Menzly and Ozbas (2010)). We show that robust predictability also arises from horizontal links between industries, i.e., from the fact that industries are competitors or offer products, which are substitutes for each other. These horizontally linked industries exhibit positively correlated fundamentals. The signal derived from this type of connectedness is the basis for significant alpha in sorted portfolio strategies, and informed investors take the related information into account when they form their portfolios. We thus provide evidence of return predictability based on a new type of economic links between industries not captured in previous studies.
We examine the impact of house prices on labour supply decisions using UK micro data. We combine household survey data with local level house price measures and controls for local labour demand. Our micro data also allows us to control for individual level income expectations. We find significant house price effects on labour supply, consistent with leisure being a normal good. Labour supply responses to house prices are concentrated among young married female owners and older owners. This finding suggests house prices affect the decisions of marginal workers in the economy. Our estimates imply house prices are economically important for the participation decisions for these workers.
We show that the size of collateralized household debt determines an economy’s vulnerability to crises of confidence. The house price feeds back on itself by contributing to a liquidity effect, which operates through the value of housing in a collateral constraint. Over a specific range of debt levels this liquidity feedback effect is strong enough to give rise to multiplicity of house prices. In a dynamic setup, we conceptualize confidence as a realization of rationally entertainable belief-weightings of multiple future prices. This delivers debt-level-dependent bounds on the extent to which confidence may drive house prices and aggregate consumption.
Debt-induced crises, including the subprime, are usually attributed exclusively to supply-side factors. We examine the role of social influences on debt culture, emanating from perceived average income of peers. Utilizing unique information from a household survey representative of the Dutch population, that circumvents the issue of defining the social circle, we consider collateralized, consumer, and informal loans. We find robust social effects on borrowing, especially among those who consider themselves poorer than their peers; and on indebtedness, suggesting a link to financial distress. We employ a number of approaches to rule out spurious associations and to handle correlated effects.
Debt-induced crises, including the subprime, are usually attributed exclusively to supply-side factors. We uncover an additional factor contributing to debt culture, namely social influences emanating from the perceived average income of peers. Using unique information from a representative household survey of the Dutch population that circumvents the need to define the social circle, we consider collateralized, consumer, and informal loans. We find robust social effects on borrowing – especially among those who consider themselves poorer than their peers – and on indebtedness, suggesting a link to financial distress. We check the robustness of our results using several approaches to rule out spurious associations and handle correlated effects.
The authors study the impact of dissent in the ECB‘s Governing Council on uncertainty surrounding households‘ inflation expectations. They conduct a randomized controlled trial using the Bundesbank Online Panel Households. Participants are provided with alternative information treatments concerning the vote in the Council, e.g. unanimity and dissent, and are asked to submit probabilistic inflation expectations. The results show that the vote is informative.
Households revise their subjective inflation forecast after receiving information about the vote. Dissenting votes cause a wider individual distribution of future inflation. Hence, dissent increases households‘ uncertainty about inflation. This effect is statistically significant once the authors allow for the interaction between the treatments and individual characteristics of respondents.
The results are robust with respect to alternative measures of forecast uncertainty and hold for different model specifications. The findings suggest that providing information about dissenting votes without additional information about the nature of dissent is detrimental to coordinating household expectations.
Household finance
(2020)
Household financial decisions are complex, interdependent, and heterogeneous, and central to the functioning of the financial system. We present an overview of the rapidly expanding literature on household finance (with some important exceptions) and suggest directions for future research. We begin with the theory and empirics of asset market participation and asset allocation over the lifecycle. We then discuss house-hold choices in insurance markets, trading behavior, decisions on retirement saving, and financial choices by retirees. We survey research on liabilities, including mortgage choice, refinancing, and default, and household behavior in unsecured credit markets, including credit cards and payday lending. We then connect the household to its social environment, including peer effects, cultural and hereditary factors, intra-household financial decision making, financial literacy, cognition and educational interventions. We also discuss literature on the provision and consumption of financial advice.
We study the redistributive effects of inflation combining administrative bank data with an information provision experiment during an episode of historic inflation. On average, households are well-informed about prevailing inflation and are concerned about its impact on their wealth; yet, while many households know about inflation eroding nominal assets, most are unaware of nominal-debt erosion. Once they receive information on the debt-erosion channel, households update upwards their beliefs about nominal debt and their own real net wealth. These changes in beliefs causally affect actual consumption and hypothetical debt decisions. Our findings suggest that real wealth mediates the sensitivity of consumption to inflation once households are aware of the wealth effects of inflation.
We set up and solve a rich life-cycle model of household decisions involving consumption of both perishable goods and housing services, stochastic and unspanned labor income, stochastic house prices, home renting and owning, stock investments, and portfolio constraints. The model features habit formation for housing consumption, which leads to optimal decisions closer in line with empirical observations. Our model can explain (i) that stock investments are low or zero for many young agents and then gradually increasing over life, (ii) that the housing expenditure share is age- and wealth-dependent, (iii) that perishable consumption is more sensitive to wealth and income shocks than housing consumption, and (iv) that non-housing consumption is hump-shaped over life.
This article discusses the counterpart of interactive machine learning, i.e., human learning while being in the loop in a human-machine collaboration. For such cases we propose the use of a Contradiction Matrix to assess the overlap and the contradictions of human and machine predictions. We show in a small-scaled user study with experts in the area of pneumology (1) that machine-learning based systems can classify X-rays with respect to diseases with a meaningful accuracy, (2) humans partly use contradictions to reconsider their initial diagnosis, and (3) that this leads to a higher overlap between human and machine diagnoses at the end of the collaboration situation. We argue that disclosure of information on diagnosis uncertainty can be beneficial to make the human expert reconsider her or his initial assessment which may ultimately result in a deliberate agreement. In the light of the observations from our project, it becomes apparent that collaborative learning in such a human-in-the-loop scenario could lead to mutual benefits for both human learning and interactive machine learning. Bearing the differences in reasoning and learning processes of humans and intelligent systems in mind, we argue that interdisciplinary research teams have the best chances at tackling this undertaking and generating valuable insights.
How demanding and consistent is the 2018 stress test design in comparison to previous exercises?
(2018)
Bank regulators have the discretion to discipline banks by executing enforcement actions to ensure that banks correct deficiencies regarding safe and sound banking principles. We highlight the trade-offs regarding the execution of enforcement actions for financial stability. Following this we provide an overview of the differences in the legal framework governing supervisors’ execution of enforcement actions in the Banking Union and the United States. After discussing work on the effect of enforcement action on bank behaviour and the real economy, we present data on the evolution of enforcement actions and monetary penalties by U.S. regulators. We conclude by noting the importance of supervisors to levy efficient monetary penalties and stressing that a division of competences among different regulators should not lead to a loss of efficiency regarding the execution of enforcement actions.
Using a novel experimental design, I test how the exposure to information about a group’s relative performance causally affects the members’ level of identification and thereby their propensity to harm affiliates of comparison groups. I find that both, being informed about a high and poor relative performance of the ingroup similarly fosters identification. Stronger ingroup identification creates increased hostility against the group of comparison. In cases where participants learn about poor relative performance, there appears to be a direct level effect additionally elevating hostile discrimination. My findings shed light on a specific channel through which social media may contribute to intergroup fragmentation and polarization.
This paper explores how banks adjust their risk-based capital ratios and asset allocations following an exogenous shock to their asset quality caused by Hurricane Katrina in 2005. We find that independent banks based in the disaster areas increase their risk-based capital ratios after the hurricane, while those part of a bank holding company do not. The effect on independent banks mainly comes from the subgroup of high-capitalized banks. These banks increase their holdings in government securities and reduce loans to non-financial firms. Hence, banks that become more stable achieve this at the cost of reduced lending.
Exploiting the natural experiment of the German reunification, we examine how consumers adapt to a new environment in their macroeconomic forecasting. We document that East Germans expect higher in inflation and make larger forecast errors than West
Germans even decades after reunification. Differences in consumption baskets, financial literacy, risk aversion or trust in the central bank cannot fully account for these patterns. We find most support for the explanation that East Germans, who were used to a strong norm of zero inflation, persistently overadjusted the level of their expectations in the face of the initial inflation shock in reunified Germany. Our findings suggest that large changes in the economic environment can permanently impede people's ability to form accurate macroeconomic expectations, with an important role for the interaction of old norms and new experiences around the event.
Policymakers attach an important role to the macroeconomic outlook of households. Using a representative online panel form the U.S., the authors examine how individuals' macroeconomic expectations causally affect their personal economic prospects and their behavior and provide them with different professional forecasts about the likelihood of a recession. The authors find that groups with the largest exposure to aggregate risk, such as individuals working in cyclical industries, are most likely to respond to an improved macroeconomic outlook, while a large fraction of the population is unlikely to react.
How do insiders trade?
(2016)
We characterize how informed investors trade in the options market ahead of corporate news when they receive private, but noisy, information about (i) the timing of the announcement and (ii) its impact on stock prices. Our theoretical framework generates a rich set of predictions about the insiders’ behavior and their maximum expected returns. Three different analyses offer empirical support for our approach. First, predicted trades resemble illegal insider trades documented in SEC litigation cases with insiders being more likely to trade in options that offer higher expected returns. Second, pre-announcement patterns in unusual activity in the options market ahead of significant corporate news are consistent with the predictions of our framework. We employ our approach to characterize informed trading ahead of twelve different types of news including the announcement of earnings, corporate guidance, M&As, product innovations, management changes, and analyst recommendations. Third, to address concerns that pre-announcement patterns are driven by speculation, we show that measures capturing trading activity in call (put) options with high expected returns predict significant positive (negative) corporate news in the aggregate cross-section.
This paper tests whether an increase in insured deposits causes banks to become more risky. We use variation introduced by the U.S. Emergency Economic Stabilization Act in October 2008, which increased the deposit insurance coverage from $100,000 to $250,000 per depositor and bank. For some banks, the amount of insured deposits increased significantly; for others, it was a minor change. Our analysis shows that the more affected banks increase their investments in risky commercial real estate loans and become more risky relative to unaffected banks following the change. This effect is most distinct for affected banks that are low capitalized.
he ECB is independent, but it is also accountable to the European parliament (EP). Yet, how the EP has held the ECB accountable has largely been overlooked. This paper starts addressing this gap by providing descriptive statistics of three accountability modalities. The paper highlights three findings. First, topics of accountability have changed. Climate-related accountability has increased quickly and dramatically since 2017. Second, if the relationship between price stability and climate change remains an object of conflict among MEPs, a majority within the EP has emerged to put pressure for the ECB to take a more active stance against climate change, precisely on behalf of its price stability mandate. Third, MEPs engage with the climate topic in very specific ways. There is a gender divide between the climate and the price stability topics. Women engage more actively with climate-related topics. While the Greens heavily dominate the climate topic, parties from the Right dominate the topic of Price stability. Finally, MEPs adopt a more united strategy and a particularly low confrontational tone in their climate-related interventions.
Regulators worldwide have been implementing different privacy laws. They vary in their impact on the value for advertisers, publishers and users, but not much is known about these differences. This article focuses on three important privacy laws (i.e., General Data Protection Regulation [GDPR], California Consumer Privacy Act [CCPA] and Personal Information Protection Law [PIPL]) and compares their impact on the value for the three primary actors of the online advertising market, namely, advertisers, publishers and users. This article first compares these three privacy laws by developing a legal strictness score. It then uses the existing literature to derive the effects of the legal strictness of each privacy law on each actor’s value. Finally, it quantifies the three privacy laws’ impact on each actor’s value. The results show that GDPR and PIPL are similar and stricter than CCPA. Stricter privacy laws bring larger negative changes to the value for actors. As a result, both GDPR and PIPL decrease the actors’ value more substantially than CCPA. These value declines are the largest for publishers and are rather similar for users and advertisers. Scholars and practitioners can use our findings to explore ways to create value for multiple actors under various privacy laws.
This paper analyzes the equilibrium pricing implications of contagion risk in a Lucas-tree economy with recursive preferences and jumps. We introduce a new economic channel allowing for the possibility that endowment shocks simultaneously trigger a regime shift to a bad economic state. We document that these contagious jumps have far-reaching asset pricing implications. The risk premium for such shocks is superadditive, i.e. it is 2.5\% larger than the sum of the risk premia for pure endowment shocks and regime switches. Moreover, contagion risk reduces the risk-free rate by around 0.5\%. We also derive semiclosed-form solutions for the wealth-consumption ratio and the price-dividend ratios in an economy with two Lucas trees and analyze cross-sectional effects of contagion risk qualitatively. We find that heterogeneity among the assets with respect to contagion risk can increase risk premia disproportionately. In particular, big assets with a large exposure to contagious shocks carry significantly higher risk premia.
How much additional tax revenue can the government generate by increasing labor income taxes? In this paper we provide a quantitative answer to this question, and study the importance of the progressivity of the tax schedule for the ability of the government to generate tax revenues. We develop a rich overlapping generations model featuring an explicit family structure, extensive and intensive margins of labor supply, endogenous accumulation of labor market experience as well as standard intertemporal consumption-savings choices in the presence of uninsurable idiosyncratic labor productivity risk. We calibrate the model to US macro, micro and tax data and characterize the labor income tax Laffer curve under the current choice of the progressivity of the labor income tax code as well as when varying progressivity. We find that more progressive labor income taxes significantly reduce tax revenues. For the US, converting to a flat tax code raises the peak of the Laffer curve by 6%, whereas converting to a tax system with progressivity similar to Denmark would lower the peak by 7%. We also show that, relative to a representative agent economy tax revenues are less sensitive to the progressivity of the tax code in our economy. This finding is due to the fact that labor supply of two earner households is less elastic (along the intensive margin) and the endogenous accumulation of labor market experience makes labor supply of females less elastic (around the extensive margin) to changes in tax progressivity.
Ad blockers allow users to browse websites without viewing ads. Online news publishers that rely on advertising income tend to perceive users’ adoption of ad blockers purely as a threat to revenue. Yet, this perception ignores the possibility that avoiding ads—which users presumably dislike—may affect users’ online news consumption behavior in positive ways. Using 3.1 million visits from 79,856 registered users on a news website, this research finds that ad blocker adoption has robust positive effects on the quantity and variety of articles users consume. Specifically, ad blocker adoption increases the number of articles that users read by 21.0%–43.2%, and it increases the number of content categories that users consume by 13.4%–29.1%. These effects are stronger for less-experienced users of the website. The increase in news consumption stems from increases in repeat visits to the news website, rather than in the number of page impressions per visit. These postadoption visits tend to start from direct navigation to the news website, rather than from referral sources. The authors discuss how news publishers could benefit from these findings, including exploring revenue models that consider users’ desire to avoid ads.
Since the outbreak of the financial crisis, the macro-prudential policy paradigm has gained increasing prominence (Bank of England, 2009; Bernanke, 2011). The dynamics of this shift in the economic discourse, and the reasons this shift has not taken place prior to the crisis have not been addressed systemically. This paper investigates the evolution of the economic discourse on systemic risk and banking regulation to better understand these changes and their timing. Further, we use our sample to inquire whether, and if so, why the economic regulatory studies failed to recommend a reliable banking regulation prior to the crisis. By following a discourse analysis, we establish that the economic discourse on banking regulation has not been suitable for providing the knowledge basis required for a dynamically reliable banking regulation, and we identify the underlying reasons for such failure. These reasons include the obsession of economic discourse with optimization and particular forms of formalism, particularly, partial equilibrium analysis. Further, the economic discourse on banking regulation excludes historical and practitioners’ discourses and ignores weak signals. We point out that post-crisis, these epistemological failures of the economic discourse on banking regulation were not sufficiently recognized and that recent attempts to conceptualize systemic risk as a negative externality and to thus price it point to the persistence of formalism, equilibrium thinking and optimization, with their attending dangers.
Exploiting NASDAQ order book data and difference-in-differences methodology, we identify the distinct effects of trading pause mechanisms introduced on U.S. stock exchanges after May 2010. We show that the mere existence of such a regulation constitutes a safeguard which makes market participants behave differently in anticipation of a pause. Pauses tend to break local price trends, make liquidity suppliers revise positions, and enhance price discovery. In contrast, pauses do not have a “cool off” effect on markets, but rather accelerate volatility and bid-ask spreads. This implies a regulatory trade-off between the protective role of trading pauses and their adverse effects on market quality.
We investigate how financial literacy shapes older Americans’ demand for financial advice. Using an experimental module fielded in the Health and Retirement Study, we show that financial literacy strongly improves the quality but not the quantity of financial advice sought. In particular, more financially literate people seek financial help from professionals. This effect is more pronounced among older people and those with more wealth and more complex financial positions. Our analysis result implies that financial literacy and financial advisory services are complementary with, rather than substitutes for, each other.
Amid increasing regulation, structural changes of the market and Quantitative Easing as well as extremely low yields, concerns about the market liquidity of the Eurozone sovereign debt markets have been raised. We aim to quantify illiquidity risks, especially such related to liquidity dry-ups, and illiquidity spillover across maturities by examining the reaction to illiquidity shocks at high frequencies in two ways:
a) the regular response to shocks using a variance decomposition and,
b) the response to shocks in the extremes by detecting illiquidity shocks and modeling those as ultivariate Hawkes processes.
We find that:
a) market liquidity is more fragile and less predictable when an asset is very illiquid and,
b) the response to shocks in the extremes is structurally different from the regular response.
In 2015 long-term bonds are less liquid and the medium-term bonds are liquid, although we observe that in the extremes the medium-term bonds are increasingly driven by illiquidity spillover from the long-term titles.
Before the 2007–09 crisis, standard risk measurement methods substantially underestimated the threat to the financial system. One reason was that these methods didn’t account for how closely commercial banks, investment banks, hedge funds, and insurance companies were linked. As financial conditions worsened in one type of institution, the effects spread to others. A new method that more accurately accounts for these spillover effects suggests that hedge funds may have been central in generating systemic risk during the crisis.
US investors hold much less foreign stocks than mean/variance analysis applied to historical data predicts. In this article, we investigate whether this home bias can be explained by Bayesian approaches to international asset allocation. In contrast to mean/variance analysis, Bayesian approaches employ different techniques for obtaining the set of expected returns. They shrink sample means towards a reference point that is inferred from economic theory. We also show that one of the Bayesian approaches leads to the same implications for asset allocation as mean-variance/tracking error criterion. In both cases, the optimal portfolio is a combination the market portfolio and the mean/variance efficient portfolio with the highest Sharpe ratio.
Applying the Bayesian approaches to the subject of international diversification, we find that substantial home bias can be explained when a US investor has a strong belief in the global mean/variance efficiency of the US market portfolio and when he has a high regret aversion falling behind the US market portfolio. We also find that the current level of home bias can justified whenever regret aversion is significantly higher than risk aversion.
Finally, we compare the Bayesian approaches to mean/variance analysis in an empirical out-ofsample study. The Bayesian approaches prove to be superior to mean/variance optimized portfolios in terms of higher risk-adjusted performance and lower turnover. However, they not systematically outperform the US market portfolio or the minimum-variance portfolio.
The classical approaches to asset allocation give very different conclusions about how much foreign stocks a US investor should hold. US investors should either allocate a large portion of about 40% to foreign stocks (which is the result of mean/variance optimization and the international CAPM) or they should hold no foreign stocks at all (which is the conclusion of the domestic CAPM and mean/variance spanning tests). There is no way in between.
The idea of the Bayesian approach discussed in this article is to shrink the mean/variance efficient portfolio towards the market portfolio. The shrinkage effect is determined by the investor's prior belief in the efficiency of the market portfolio and by the degree of violation of the CAPM in the sample. Interestingly, this Bayesian approach leads to the same implications for asset allocation as the mean-variance/tracking error criterion. In both cases, the optimal portfolio is a combination of the market portfolio and the mean/variance efficient portfolio with the highest Sharpe ratio.
Applying both approaches to the subject of international diversification, we find that a substantial home bias is only justified when a US investor has a strong belief in the global mean/variance efficiency of the US market portfolio and when he has a high regret aversion of falling behind the US market portfolio. We also find that the current level of home bias can be justified whenever-regret aversion is significantly higher than risk aversion.
Finally, we compare the Bayesian approach of shrinking the mean/variance efficient portfolio towards the market portfolio to another Bayesian approach which shrinks the mean/variance efficient portfolio towards the minimum-variance portfolio. An empirical out-of-sample study shows that both Bayesian approaches lead to a clearly superior performance compared to the classical mean/variance efficient portfolio.
The Judgement of the EGC in the Case T-122/15 – Landeskreditbank Baden-Württemberg - Förderbank v European Central Bank is the first statement of the European judiciary on the sub-stantive law of the Banking Union. Beyond its specific holding, the decision is of great importance, because it hints at the methodological approach the EGC will take in interpreting prudential banking regulation in the appeals against supervisory measures that fall in its jurisdiction under TFEU, arts. 256(1) subpara 1 and 263(4). Specifically, the case pertained to the scope of direct ECB oversight of significant banks in the euro area and the reassignment of this competence to national competent authorities (NCAs) in individual circumstances (Single Supervisory Mechanism (SSM) Regulation, art. 6(4) subpara 2; SSM Framework Regulation, arts. 70, 71).