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We study nominal wage rigidity in the Netherlands using administrative data, which has three key features: (1) high-frequency (monthly), (2) high-quality (administrative records), and (3) high coverage (the universe of workers and the universe of firms). We find wage rigidity patterns in the data that are similar to wage behavior documented for other European countries. In particular we find that the hazard function has two spikes, one at 12 months and another one at 24 months and wage changes have time and state dependency components. As a novel and important piece of evidence we also uncover substantial heterogeneity in the frequency of wage changes due to explicit terms of the labor contract. In particular, contracts featuring flexible hours, such as on-call contracts, exhibit a higher probability of a change in the contract wage compared to fixed hour contracts. Once we split the sample based on contract characteristics, we also find that the response of wage changes to the time and state component is heterogeneous across different type of contracts - with relatively more downward adjustments in flexible-hour contract wages in response to aggregate unemployment.
The paper analyses the linkages from financial developments to public finances. It maps and discusses the transmission channels to fiscal variables. These channels include asset prices, financing conditions, balance sheets of banks, non-banks and central banks and international linkages. The study argues that the fiscal effects via each and all these channels can be very serious in magnitude and can put the sustainability of public finances at risk. However, there is an only limited in-depth analysis of these channels and risks.
Depressed demand and supply
(2019)
We investigate the implications of experienced-based learning on consumption-saving and labor supply, two fundamental decisions in business cycle models. Using the Dutch Household Survey, we find that individuals who have experienced higher national unemployment rates over their lifetime save more, borrow less, and work less, after controlling for aggregate shocks, income, wealth, and demographics. Possibly explaining these behavioral responses, these individuals find it more important to save for retirement and to cover unexpected expenses, are more worried about losing their job, and dislike their job more. These results have implications for business cycle models and stabilization policies.
In early July 2019, Christian Sewing, the CEO of Deutsche Bank, proclaimed a fundamental shift of the bank’s strategy after finally obtaining the approval of the Supervisory Board, which the management seems to have requested for quite some time. The essential point of the reorientation is a deep cut into the bank’s investment banking activities. At the same time, those parts of the bank’s activity portfolio that had been the mainstay of Deutsche Bank’s business 20 to 25 years ago, in particular lending to large and mid-sized German and European corporate clients, shall be strengthened in spite of a simultaneous reduction of the bank’s staff by 18,000 FTEs over the next three years.
The bank’s CEO, who has only been in office since about one year, was reported to have called this shift of strategy a “return to the roots of Deutsche Bank” at the press conference at which it was announced, without, however, making it clear to which roots he was referring: those of some 40 years ago, when Deutsche Bank was essentially a Germany-focused commercial bank, or even those from the late 19th century, when the bank had been founded with the mission to become an international bank with a strong capital market-orientation. In any event, the press was impressed and keeps repeating these words, that deserve to be taken seriously and irrespective of their vagueness may be justified. If it were successfully implemented, this change of strategy would indeed be fundamental and imply undoing what Deutsche Bank’s former management teams had aspired to do in the last 20 or 25 years.
The newly announced strategy shift raises two questions. Can it be successful, and what does it mean for the bank itself and its shareholders, for its staff and for its clients? And what does it imply for the German financial system? This note focuses on the latter question. What makes it interesting is the fact that the last fundamental change of Deutsche Bank’s strategy of two decades ago, which aimed at transforming Deutsche Bank from a Germany-centered commercial bank into a leading international investment bank, had a profound – and in my view clearly negative - effect on the entire German financial system.
Die Europäische Zentral Bank hat am 6. Juni 2019 beschlossen, die Nullzinspolitik bis Mitte 2020 beizubehalten, obwohl mit dieser das Inflationsziel von 2% seit Jahren, in Japan seit Jahrzehnten, verfehlt wird. Nach dem Neo-Fisher-Effekt sollte, gegeben dieses Ziel, der Zins nicht gesenkt, sondern gehoben werden, weil die Inflationsrate der Differenz von Nominal- und langfristig stabilem Realzins entspricht. Zwar senken rasche Zinserhöhungen Nachfrage und Preise, aber daraus folgt nicht notwendig, dass niedrige Zinsen die Nachfrage anregen. Gemäß neueren Untersuchungen werden langsam durchgeführte Zinserhöhungen bei rationalen Erwartungen dagegen das Preisniveau heben. Der Aufsatz untersucht die begleitenden Verteilungswirkungen und stützt die These mit Überlegungen aus dem 19. Jahrhundert, wonach die gestiegenen Preise durch die Erhöhung der Zinskosten erklärt werden können.
The financial crisis of 2007-08 has stressed the importance of a sound financial system. Unlike other studies weighing the pros and cons of market versus bank-based systems, this paper investigates whether the main elements of the German financial system can be regarded as complementary and consistent. This assessment refers to the idea that there is a potential for positive interaction between different elements in the system that is actually used to make it more valuable to economy and society and more robust to crises. It is shown that the old German bank-based system, where the risk of long-term lending by large private commercial banks was limited by the membership in supervisory boards and strong personal ties between all stakeholders, was a consistent system of well-adjusted complementary elements. After reunification, a hybrid system has emerged where, on the one hand, public savings banks and cooperative banks maintain their role as lenders, but on the other, large private banks have withdrawn from their former dominant role in financing and corporate governance. It is argued that this transition to stronger capital-market and, accordingly, shareholder value orientations has occurred at the expense of consistency.
This paper aspires to provide an overview of the issue of diversity of banking and financial systems and its development over time from a positive and a normative perspective. In other word: how different are banks within a given country and how much do banking systems and entire financial systems differ between countries and regions, and do in-country diversity and between-country diversity change over time, as one would be inclined to expect as a consequence of globalization and increasingly global standards of regulation?
As the first part of this paper shows, the general answer to these questions is that there is still today a surprisingly high level of diversity in finance. This raises the two questions addressed in the second part of the paper: How can the persistence of diversity be explained, and how can it be assessed? In contrast to prevailing views, the author argues that persistent diversity should be regarded as valuable in a context in which there is no clear answer to the question of which structures of banking and financial systems are optimal from an economic perspective
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.
In the course of the crisis, the European System of Central Banks (ESCB) has acted several times to support the EU Member States and banking systems in financial distress by purchasing debt instruments: Covered Bonds Programmes (CBP), Securities Market Programmes (SMP), Long Term Refinancing Operations (LTRO), and Targeted Long Term Refinancing Operations (TLTRO), followed by the Outright Monetary Transactions (OMT) and then the Extended Asset Purchase Programmes (EAPP) – colloquially labelled as Quantitative Easing (QE).
Initially, the support measures of the ESCB might have to be judged as monetary policy but the selectivity of OMT and – even more – SMP in conjunction with the transfer of risks to the ESCB speak against it.
Using a novel regulatory dataset of fully identified derivatives transactions, this paper provides the first comprehensive analysis of the structure of the euro area interest rate swap (IRS) market after the start of the mandatory clearing obligation. Our dataset contains 1.7 million bilateral IRS transactions of banks and non-banks. Our key results are as follows:
1) The euro area IRS market is highly standardised and concentrated around the group of the G16 Dealers but also around a significant group of core “intermediaries"(and major CCPs).
2) Banks are active in all segments of the IRS euro market, whereas non-banks are often specialised.
3) When using relative net exposures as a proxy for the “flow of risk" in the IRS market, we find that risk absorption takes place in the core as well as the periphery of the network but in absolute terms the risk absorption is largely at the core.
4) Among the Basel III capital and liquidity ratios, the leverage ratio plays a key role in determining a bank's IRS trading activity.
Exploiting heterogeneity in U.S. firms' exposure to an unconventional monetary policy shock that reduced debt financing costs, I identify the impact of financing conditions on firms' toxic emissions. I find robust evidence that lower financing costs reduce toxic emissions and boost investments in emission reduction activities, especially capital-intensive pollution control activities. The effect is stronger for firms in noncompliance with environmental regulation. Examining the ability of regaining regulatory compliance by implementing pollution control activities I find that only capital-intensive activities help firms regaining compliance. These findings underscore the impact of firms' financing conditions for emissions and the environment.
We show that "quasi-dark" trading venues, i.e., markets with somewhat non-transparent trading mechanisms, are important parts of modern equity market structure alongside lit markets and dark pools. Using the European MiFID II regulation as a quasi-natural experiment, we find that dark pool bans lead to (i) volume spill-overs into quasi-dark trading mechanisms including periodic auctions and order internalization systems; (ii) little volume returning to transparent public markets; and consequently, (iii) a negligible impact on market liquidity and short-term price efficiency. These results show that quasi-dark markets serve as close substitutes for dark pools and consequently mitigate the effectiveness of dark pool regulation. Our findings highlight the need for a broader approach to transparency regulation in modern markets that takes into consideration the many alternative forms of quasi-dark trading.
We study the effects of market incompleteness on speculation, investor survival, and asset pricing moments, when investors disagree about the likelihood of jumps and have recursive preferences. We consider two models. In a model with jumps in aggregate consumption, incompleteness barely matters, since the consumption claim resembles an insurance product against jump risk and effectively reproduces approximate spanning. In a long-run risk model with jumps in the long-run growth rate, market incompleteness affects speculation, and investor survival. Jump and diffusive risks are more balanced regarding their importance and, therefore, the consumption claim cannot reproduce approximate spanning.
In this exploratory article, we consider the future of Deutsche Bank and Commerzbank and develop a new approach to the topic: instead of a merger of DB and CB we propose to consider a partial merger of the IT and related back office functions in order to create the basis for an Open Banking platform in Germany. Such a platform would act as a cross-institutional infrastructure company in which the participating banks develop a common data and IT platform (while respecting the data protection regulations). Significant parts of the transaction processes would be pooled by the institutions and executed by the Open Banking platform. Moreover, the institutions remain legally independent and compete with each other at the level of products and services that are developed and produced using just this common data and IT platform – “national champions” would not be created.
But such an “Open Banking Platform” could become even the nucleus of a European Banking platform that could be competitive with existing global data platforms from the USA and China which are already offering financial services and are likely to expand their offerings in the foreseeable future. The proposed model of an open data platform for banks prevents the emergence of national champions and supports the main goal of the banking union: creation of a financial system, in which single banks can be resolved without provoking a systemic crisis and forcing taxpayers to finance bailouts.
Decisions under ambiguity depend on both the belief regarding possible scenarios and the attitude towards ambiguity. This paper exclusively investigates the belief formation and belief updating process under ambiguity, using laboratory experiments. The results show that half of the subjects tend to adopt a simple heuristic strategy when updating beliefs, while the other half seems to partially adopt the Bayesian updates. We recover beliefs, represented by distributions of the priors/posteriors. The recoverable initial priors mostly follow a uniform distribution. We also find that subjects on average demonstrate slight pessimism in an ambiguous environment.
Do household inflation expectations affect consumption-savings decisions? We link survey data on quantitative inflation expectations to administrative data on income and wealth. We document that households with higher inflation expectations save less. Estimating panel data models with year and household fixed effects, we find that a one percentage point increase in a household's inflation expectation over time is associated with a 250-400 euro reduction in the household's change in net worth per year on average. We also document that households with higher inflation expectations are more likely to acquire a car and acquire higher-value cars. In addition, we provide a quantitative model of household-level inflation expectations.
We propose a simple modification of the time series filter by Hamilton (2018) that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8-quarter-ahead forecast errors of a simple autoregression of log real GDP. While this approach yields a cyclical component of GDP that is hardly revised with new incoming data due to the one-sided filtering approach, it does not cover typical business cycle frequencies evenly, but short business cycles are muted and medium length business cycles are amplified. Further, the estimated trend is as volatile as GDP itself and can thus hardly be interpreted as potential GDP. A simple modification that is based on the mean of 4- to 12-quarter-ahead forecast errors shares the favorable real-time properties of the Hamilton filter, but leads to a much better coverage of typical business cycle frequencies and a smooth estimated trend. Based on output growth and inflation forecasts and a comparison to revised output gap estimates from policy institutions, we find that real-time output gaps based on the modified Hamilton filter are economically much more meaningful measures of the business cycle than those based on other simple statistical trend-cycle decomposition techniques such as the HP or the Bandpass filter.
We analyze cyclical co-movement in credit, house prices, equity prices, and longterm interest rates across 17 advanced economies. Using a time-varying multi-level dynamic factor model and more than 130 years of data, we analyze the dynamics of co-movement at different levels of aggregation and compare recent developments to earlier episodes such as the early era of financial globalization from 1880 to 1913 and the Great Depression. We find that joint global dynamics across various financial quantities and prices as well as variable-specific global co-movements are important to explain fluctuations in the data. From a historical perspective, global co-movement in financial variables is not a new phenomenon, but its importance has increased for some variables since the 1980s. For equity prices, global cycles play currently a historically unprecedented role, explaining more than half of the fluctuations in the data. Global cycles in credit and housing have become much more pronounced and longer, but their importance in explaining dynamics has only increased for some economies including the US, the UK and Nordic European countries. We also include GDP in the analysis and find an increasing role for a global business cycle.
There is substantial disagreement about the consequences of the Tax Cuts and Jobs Act (TCJA) of 2017, which constitutes the most extensive tax reform in the United States in more than 30 years. Using a large-scale two-country dynamic general equilibrium model with nominal rigidities, we find that the TCJA increases GDP by about 2% in the medium-run and by about 2.5% in the long-run. The shortrun impact depends crucially on the degree and costs of variable capital utilization, with GDP effects ranging from 1 to 3%. At the same time, the TCJA does not pay for itself. In our analysis, the reform decreases tax revenues and raises the debt-to-GDP ratio by about 15 percentage points in the medium-run until 2025. We show that combining the TCJA with spending cuts can dampen the increase in government indebtedness without reducing its expansionary effect.
Job loss expectations, durable consumption and household finances : evidence from linked survey data
(2019)
Job security is important for durable consumption and household savings. Using surveys, workers express a probability that they will lose their job in the next 12 months. In order to assess the empirical content of these probabilities, we link survey data to administrative data with labor market outcomes. Workers predict job loss quite well, in particular those whose job loss is followed by unemployment. Workers with higher job loss expectations acquire cheaper cars, and are less likely to buy new cars. In line with models of precautionary saving, higher job loss expectations are associated with more savings and less exposure to risky assets.
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.
In this note, we first highlight different developments for banks under direct ECB supervision within the SSM that may prompt further investigation by supervisors. We find that banks that were weakly capitalized at the start of direct ECB supervision (1) still face elevated levels of non-performing loans, (2) are less cost-efficient and (3) reduced their share of subordinated debt financing over the last years. We then stress the importance of continuous and ongoing cost-benefit analysis regarding banking supervision in Europe. We also encourage processes to question existing supervisory practices to ensure a lean and efficient banking supervision. Finally, we underline the need of continuous and intensified coordination among regulatory bodies in the Banking Union since the efficacy of European bank supervision rests on its interplay with many different institutions.
This document was requested by the European Parliament's Committee on Economic and Monetary Affairs. It was originally published on the European Parliament’s webpage.
Nach der 2008 startenden Finanzmarktkrise sind Maßnahmen zur Regulierung und Stabilisierung der Finanzmärkte in das Zentrum der politischen und der gesellschaftlichen Aufmerksamkeit gerückt. Insbesondere die hohen fiskalischen Kosten der Staaten zur Stützung ihrer Bankensysteme sowie die volkswirtschaftlichen Kosten infolge des Einbruchs des Wirtschaftswachstums in den Jahren nach der Insolvenz der US Investmentbank Lehman Brothers hatten einen globalen Konsens über die Notwendigkeit neuer Regulierungsmaßnahmen zur Folge. Im Ergebnis wurden das internationale Regulierungswerk Basel III sowie weitere nationale Maßnahmen zur Stabilisierung des Finanzsektors neu konzipiert und in Europa im Wege einer in nationales Recht umzusetzenden Richtlinie (die Capital Require-ments Directive IV - CRD IV) sowie einer Verordnung (die Capital Requirements Regulation CRR, welche unmittelbar geltendes Recht darstellt) eingeführt.
Vor diesem Hintergrund analysiert das vorliegende interdisziplinäre Gutachten die Auswirkungen der Regulierungsmaßnahmen, die zwischen 2008 bis zu Beginn des Jahres 2018 umgesetzt wurden auf dem deutschen Finanzsektor.
In diesem explorativen Beitrag machen wir uns Gedanken über die Zukunft von Deutscher Bank und Commerzbank und entwickeln einen neuen Zugang zu dem Thema: Statt einer Fusion von DB und CB schlagen wir eine Teilfusion nur der Datenzentren vor – es entsteht auf diese Weise die Grundlage für eine Open Banking Plattform als „utility“, also als Betrieb im Eigentum der Nutzer, an der perspektivisch weitere Finanzinstitute teilnehmen können. Die über die Daten kooperierenden Institute bleiben mit Blick auf Produkte und Dienstleistungen unverändert Konkurrenten – „national champions“ entstehen auf diese Weise nicht. Aber es wird damit in Europa die Basis für einen erfolgversprechenden Wettbewerb mit den großen Datenplattformen aus USA und China (Facebook, Amazon, Alipay) gelegt, die früher oder später in den Finanzmarkt eindringen werden. Das von uns vorgeschlagene Modell einer offenen Datenplattform für Banken verhindert das Entstehen von „national champions“ und schützt damit auch das Kernanliegen der Bankenunion: Die Schaffung eines Finanzsystems, dessen Banken jede für sich ausscheiden können ohne eine systemische Krise auszulösen, und ohne den Steuerzahler zu einer Rettungsaktion zu zwingen
Do competition and incentives offered to designated market makers (DMMs) improve market liquidity? Using data from NYSE Euronext Paris, we show that an exogenous increase in competition among DMMs leads to a significant decrease in quoted and effective spreads, mainly through a reduction in adverse selection costs. In contrast, changes in incentives, through small changes in rebates and requirements for DMMs, do not have any tangible effect on market liquidity. Our results are of relevance for designing optimal contracts between exchanges and DMMs and for regulatory market oversight.
We show that banks that are facing relatively high locally non-diversifiable risks in their home region expand more across states than banks that do not face such risks following branching deregulation in the 1990s and 2000s. These banks with high locally non-diversifiable risks also benefit relatively more from deregulation in terms of higher bank stability. Further, these banks expand more into counties where risks are relatively high and positively correlated with risks in their home region, suggesting that they do not only diversify but also build on their expertise in local risks when they expand into new regions.
Self-control failure is among the major pathologies (Baumeister et al. (1994)) affecting individual investment decisions which has hardly been measurable in empirical research. We use cigarette addiction identified from checking account transactions to proxy for low self-control and compare over 5,000 smokers to 14,000 nonsmokers. Smokers self-directing their investment trade more frequently, exhibit more biases and achieve lower portfolio returns. We also find that smokers, some of which might be aware of their limited levels of self-control, exhibit a higher propensity than nonsmokers to delegate decision making to professional advisors and fund managers. We document that such precommitments work successfully.
Distributed ledger technology especially in the form of publicly coordinated validation networks such as Ethereum and Bitcoin with their own monetary circles provide for a revealing litmus test for current financial regulatory schemes. The paper highlights the interrelation between distributed coordination and the emission of virtual currency to make sense of the function of the new monetary phenomenon. It then argues for the regulation of financial services on the ground of the technology to ensure integrity standards. In this respect, it is useful to gear the development of a regulatory scheme towards the existing financial regulatory principles. However, future measures of the regulators must take the distributed nature of the platforms into account by relying on a “regulated self-regulation” of the community. Finally, the article focuses on the shortcomings of the current EU regulatory regimes, especially the regulation frameworks regarding financial services, payment services and electronic money.
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.
This paper uses unique administrative data and a quasi-field experiment of exogenous allocation in Sweden to estimate medium- and longer-run effects on financial behavior from exposure to financially literate neighbors. It contributes evidence of causal impact of exposure and of a social multiplier of financial knowledge, but also of unfavorable distributional aspects of externalities. Exposure promotes saving in private retirement accounts and stockholding, especially when neighbors have economics or business education, but only for educated households and when interaction possibilities are substantial. Findings point to transfer of knowledge rather than mere imitation or effects through labor, education, or mobility channels.
The recent sovereign debt crisis in the Eurozone was characterized by a monetary policy, which has been constrained by the zero lower bound (ZLB) on nominal interest rates, and several countries, which faced high risk spreads on their sovereign bonds. How is the government spending multiplier affected by such an economic environment?While prominent results in the academic literature point to high government spending multipliers at the ZLB, higher public indebtedness is often associated with small government spending multipliers. I develop a DSGE model with leverage constrained banks that captures both features of this economic environment, the ZLB and fiscal stress. In this model, I analyze the effects of government spending shocks. I find that not only are multipliers large at the ZLB, the presence of fiscal stress can even increase their size. For longer durations of the ZLB,multipliers in this model can be considerably larger than one.
JEL Classification: E32, E 44, E62
Recently, Fuest and Sinn (2018) have demanded a change of rules for the Eurozone’s Target 2 payment system, claiming it would violate the Statutes of the European System of Central Banks and of the European Central Bank. The authors present a stylized model based on a set of macro-economic assumptions, and show that Target 2 may lead to loss sharing among national central banks (NCBs), thus violating the no risk-sharing requirement laid out by the Eurosystem Statutes.
In this note, I present an augmented model that incorporates essential features of the micro- and macroprudential regulatory and supervisory regime that today is hard-wired into Europe’s banking system. The model shows that the original no-risk-sharing principle is not necessarily violated during a financial crisis of a member state. Moreover, it shows that under a banking union regime, financial crisis asset value losses at or below the 99.9th percentile are borne by private investors, not by taxpayers, and particularly not by central banks.
Therefore, policy conclusions from the micro-founded model differ significantly from those suggested by Fuest and Sinn (2018).
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.
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).
This paper examines how networks of professional contacts contribute to the development of the careers of executives of North American and European companies. We build a dynamic model of career progression in which career moves may both depend upon existing networks and contribute to the development of future networks. We test the theory on an original dataset of nearly 73 000 executives in over 10 000 _rms. In principle professional networks could be relevant both because they are rewarded by the employer and because they facilitate job mobility. Our econometric analysis suggests that, although there is a substantial positive correlation between network size and executive compensation, with an elasticity of around 20%, almost all of this is due to unobserved individual characteristics. The true causal impact of networks on compensation is closer to an elasticity of 1 or 2% on average, all of this due to enhanced probability of moving to a higher-paid job. And there appear to be strongly diminishing returns to network size.
Using a unique confidential contract level dataset merged with firm-level asset price data, we find robust evidence that firms' stock market valuations and employment levels respond more to monetary policy announcements the higher the degree of wage rigidity. Data on the renegotiations of collective bargaining agreements allow us to construct an exogenous measure of wage rigidity. We also find that the amplification induced by wage rigidity is stronger for firms with high labor intensity and low profitability, providing evidence of distributional consequences of monetary policy. We rationalize the evidence through a model in which firms in different sectors feature different degrees of wage rigidity due to staggered renegotiations vis-a-vis unions.
This paper analyzes the effect of financial constraints on firms' corporate social responsibility. Exploiting heterogeneity in firms' exposure to a monetary policy shock in the U.S., which reduced financial constraints for some firms, I find that firms increase their environmental responsibility. I use facility-level data to account for unobservable time-varying influences on pollution and find that toxic emissions decrease when parent companies are more exposed to the monetary policy shock. I further find that these facilities are also more likely to implement pollution abatement activities. Examining within-parent company heterogeneity I find that pollution abatement investments center on facilities at greater risk of facing additional costs due to environmental regulation. The findings are consistent with the idea that a reduction in financial constraints reduces pollution as it allows firms to implement pollution abatement measures.
Households buy life insurance as part of their liquidity management. The option to surrender such a policy can serve as a buffer when a household faces a liquidity need. In this study, we investigate empirically which individual and household specific sociodemographic factors influence the surrender behavior of life insurance policyholders. Based on the Socio-Economic Panel (SOEP), an ongoing wide-ranging representative longitudinal study of around 11,000 private households in Germany, we construct a proxy to identify life insurance surrender in the data. We use this proxy to conduct fixed effect regressions and support the results with survival analyses. We find that life events that possibly impose a liquidity shock to the household, such as birth of a child and divorce increase the likelihood to surrender an existing life insurance policy for an average household in the panel. The acquisition of a dwelling and unemployment are further aspects that can foster life insurance surrender. Our results are robust with respect to different models and hold conditioning on region specific trends; they vary however for different age groups. Our analyses contribute to the existing literature supporting the emergency fund hypothesis. The findings obtained in this study can help life insurers and regulators to detect and understand industry specific challenges of the demographic change.
Higher capital ratios are believed to improve system-wide financial stability through three main channels: (i) higher loss-absorption capacity, (ii) lower moral hazard, (iii) stabilization of the financial cycle if capital ratios are increased during good times. We examine these mechanisms in a laboratory asset market experiment with indebted participants. We find support for the loss-absorption channel: higher capital ratios reduce the bankruptcy rate. However, we do not find support for the moral hazard channel. Higher capital ratios (insignificantly) increase asset price bubbles, an aggregate measure of excessive risk-taking. Additional evidence suggests that bankruptcy aversion explains this surprising result. Finally, the evidence supports the idea that higher capital ratios in good times stabilize the financial cycle.
Zum ersten Mal wurde in Deutschland eine groß angelegte wissenschaftliche Studie zur Machbarkeit und zum Nutzen einer säulenübergreifenden Renteninformationsplattform durchgeführt, unter realen Bedingungen und mit mehreren tausend Teilnehmern. Die beiden zentralen Ergebnisse sind, dass ein elektronisches Rentencockpit auch in Deutschland technisch machbar ist und beträchtlichen individuellen Zusatznutzen für die Bürgerinnen und Bürger stiften würde. Die Langfristanalysen der Pilotstudie zeigen, dass selbst die einmalige Schaffung von Rententransparenz für viele Teilnehmer Anlass genug ist, ihren Rentenplan zu überdenken und sich aktiv mit ihrer Altersvorsorge auseinanderzusetzen und ihr Verhalten zu ändern. Teilnehmer mit Zugang zu einem elektronischen Rentencockpit fühlen sich nach der Studie deutlich besser informiert und neigen dazu ihr Sparverhalten stärker anzupassen als Personen ohne Zugang. Die außerordentlich hohe Bereitschaft zur Teilnahme und die Antworten in den Online-Befragungen sind zudem Beleg für den großen Bedarf an systemgestützter, individueller Rententransparenz. Soll ein Rentencockpit Verbreitung in Deutschland finden, scheint eine automatisierte, elektronische Bereitstellung von Vertragsdaten von Seiten der Rententräger jedoch unabdingbar, da die eigenständige Suche und teilmanuelle Bereitstellung von Standmitteilungen für die meisten Studienteilnehmer ein großes Hindernis darstellt.
Much ado about nothing : a study of differential pricing and liquidity of short and long term bonds
(2018)
Are yields of long-maturity bonds distorted by demand pressure of clientele investors, regulatory effects, or default, flight-to-safety or liquidity premiums? Using data on German nominal bonds between 2005 and 2015, we study the differential pricing and liquidity of short and long maturity bonds. We find statistically significant, but economically negligible segmentation in yields and some degree of liquidity segmentation of short-term versus long-term bonds. These results have important policy implications for the e17.5 trillion European pension and insurance industries: long maturity bond yields seem appropriate for the valuation of long-term liabilities.
A number of recent studies have concluded that consumer spending patterns over the month are closely linked to the timing of income receipt. This correlation is interpreted as evidence of hyperbolic discounting. I re-examine patterns of spending in the diary sample of the U.S. Consumer Expenditure Survey, incorporating information on the timing of the main consumption commitment for most households - their monthly rent or mortgage payment. I find that non-durable and food spending increase with 30-48% on the day housing payments are made, with smaller increases in the days after. Moreover, households with weekly, biweekly and monthly income streams but the same timing of rent/mortgage payments have very similar consumption patterns. Exploiting variation in income, I find that households with extra liquidity decrease non-durable spending around housing payments, especially those households with a large budget share of housing.
Asset transaction prices sampled at high frequency are much staler than one might expect in the sense that they frequently lack new updates showing zero returns. In this paper, we propose a theoretical framework for formalizing this phenomenon. It hinges on the existence of a latent continuous-time stochastic process pt valued in the open interval (0; 1), which represents at any point in time the probability of the occurrence of a zero return. Using a standard infill asymptotic design, we develop an inferential theory for nonparametrically testing, the null hypothesis that pt is constant over one day. Under the alternative, which encompasses a semimartingale model for pt, we develop non-parametric inferential theory for the probability of staleness that includes the estimation of various integrated functionals of pt and its quadratic variation. Using a large dataset of stocks, we provide empirical evidence that the null of the constant probability of staleness is fairly rejected. We then show that the variability of pt is mainly driven by transaction volume and is almost unaffected by bid-ask spread and realized volatility.
Through the lens of market participants' objective to minimize counterparty risk, we provide an explanation for the reluctance to clear derivative trades in the absence of a central clearing obligation. We develop a comprehensive understanding of the benefits and potential pitfalls with respect to a single market participant's counterparty risk exposure when moving from a bilateral to a clearing architecture for derivative markets. Previous studies suggest that central clearing is beneficial for single market participants in the presence of a sufficiently large number of clearing members. We show that three elements can render central clearing harmful for a market participant's counterparty risk exposure regardless of the number of its counterparties: 1) correlation across and within derivative classes (i.e., systematic risk), 2) collateralization of derivative claims, and 3) loss sharing among clearing members. Our results have substantial implications for the design of derivatives markets, and highlight that recent central clearing reforms might not incentivize market participants to clear derivatives.
A tale of one exchange and two order books : effects of fragmentation in the absence of competition
(2018)
Exchanges nowadays routinely operate multiple, almost identically structured limit order markets for the same security. We study the effects of such fragmentation on market performance using a dynamic model where agents trade strategically across two identically-organized limit order books. We show that fragmented markets, in equilibrium, offer higher welfare to intermediaries at the expense of investors with intrinsic trading motives, and lower liquidity than consolidated markets. Consistent with our theory, we document improvements in liquidity and lower profits for liquidity providers when Euronext, in 2009, consolidated its order ow for stocks traded across two country-specific and identically-organized order books into a single order book. Our results suggest that competition in market design, not fragmentation, drives previously documented improvements in market quality when new trading venues emerge; in the absence of such competition, market fragmentation is harmful.
This paper presents new evidence on the expectation formation process from a Dutch household survey. Households become too optimistic about their future income after their income has improved, consistent with the over-extrapolation of their experience. We show that this effect of experience is persistent and that households over-extrapolate income losses more than income gains. Furthermore, older households over-extrapolate more, suggesting that they did not learn over time to form more accurate expectations. Finally, we study the relationship between expectation errors and consumption. We find that more over-optimistic households intend to consume more and subsequently report higher consumption, even though they do not consume as much as they intended to. These results suggests that overextrapolation hurts consumers and amplify business cycles.
This paper argues that the introduction of the Banking Recovery and Resolution Directive (BRRD) improved market discipline in the European bank market for unsecured debt. The different impact of the BRRD on bank bonds provides a quasi-natural experiment that allows to study the effect of the BRRD within banks using a difference-in-difference approach. Identification is based on the fact that (otherwise identical) bonds of a given bank maturing before 2016 are explicitly protected from BRRD bail-in. The empirical results are consistent with the hypothesis that debt holders actively monitor banks and that the BRRD diminished bail-out expectations. Bank bonds subject to BRRD bail-in carry a 10 basis points bail-in premium in terms of the yield spread. While there is some evidence that the bail-in premium is more pronounced for non-GSIB banks and banks domiciled in peripheral European countries, weak capitalization is the main driver.
The authors relax the standard assumption in the dynamic stochastic general equilibrium (DSGE) literature that exogenous processes are governed by AR(1) processes and estimate ARMA (p,q) orders and parameters of exogenous processes. Methodologically, they contribute to the Bayesian DSGE literature by using Reversible Jump Markov Chain Monte Carlo (RJMCMC) to sample from the unknown ARMA orders and their associated parameter spaces of varying dimensions.
In estimating the technology process in the neoclassical growth model using post war US GDP data, they cast considerable doubt on the standard AR(1) assumption in favor of higher order processes. They find that the posterior concentrates density on hump-shaped impulse responses for all endogenous variables, consistent with alternative empirical estimates and the rigidities behind many richer structural models. Sampling from noninvertible MA representations, a negative response of hours to a positive technology shock is contained within the posterior credible set. While the posterior contains significant uncertainty regarding the exact order, the results are insensitive to the choice of data filter; this contrasts with the authors’ ARMA estimates of GDP itself, which vary significantly depending on the choice of HP or first difference filter.
What institutional arrangements for an independent central bank with a price stability mandate promote good policy outcomes when unconventional policies become necessary? Unconventional monetary policy poses challenges. The large scale asset purchases needed to counteract the zero lower bound on nominal interest rates have uncomfortable fiscal and distributional consequences and require central banks to assume greater risks on their balance sheets.
In his paper, Athanasios Orphanides draws lessons from the experience of the Bank of Japan (BoJ) since the late 1990s for the institutional design of independent central banks. He comes to the conclusion that lack of clarity on the precise definition of price stability, coupled with concerns about the legitimacy of large balance sheet expansions, hinders policy: It encourages the central bank to eschew the decisive quantitative easing needed to reflate the economy and instead to accommodate too-low inflation. The BoJ’s experience with the zero lower bound suggests important benefits from a clear definition of price stability as a symmetric 2% goal for inflation, which the Bank adopted in 2013.