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Systemic co-jumps
(2016)
The simultaneous occurrence of jumps in several stocks can be associated with major financial news, triggers short-term predictability in stock returns, is correlated with sudden spikes of the variance risk premium, and determines a persistent increase (decrease) of stock variances and correlations when they come along with bad (good) news. These systemic events and their implications can be easily overlooked by traditional univariate jump statistics applied to stock indices. They are instead revealed in a clearly cut way by using a novel test procedure applied to individual assets, which is particularly effective on high-volume stocks.
This paper addresses whether and to what extent econometric methods used in experimental studies can be adapted and applied to financial data to detect the best-fitting preference model. To address the research question, we implement a frequently used nonlinear probit model in the style of Hey and Orme (1994) and base our analysis on a simulation stud. In detail, we simulate trading sequences for a set of utility models and try to identify the underlying utility model and its parameterization used to generate these sequences by maximum likelihood. We find that for a very broad classification of utility models, this method provides acceptable outcomes. Yet, a closer look at the preference parameters reveals several caveats that come along with typical issues attached to financial data, and that some of these issues seems to drive our results. In particular, deviations are attributable to effects stemming from multicollinearity and coherent under-identification problems, where some of these detrimental effects can be captured up to a certain degree by adjusting the error term specification. Furthermore, additional uncertainty stemming from changing market parameter estimates affects the precision of our estimates for risk preferences and cannot be simply remedied by using a higher standard deviation of the error term or a different assumption regarding its stochastic process. Particularly, if the variance of the error term becomes large, we detect a tendency to identify SPT as utility model providing the best fit to simulated trading sequences. We also find that a frequent issue, namely serial correlation of the residuals, does not seem to be significant. However, we detected a tendency to prefer nesting models over nested utility models, which is particularly prevalent if RDU and EXPO utility models are estimated along with EUT and CRRA utility models.
Microeconomic modeling of investors behavior in financial markets and its results crucially depends on assumptions about the mathematical shape of the underlying preference functions as well as their parameterizations. With the purpose to shed some light on the question, which preferences towards risky financial outcomes prevail in stock markets, we adopted and applied a maximum likelihood approach from the field of experimental economics on a randomly selected dataset of 656 private investors of a large German discount brokerage firm. According to our analysis we find evidence that the majority of these clients follow trading pattern in accordance with Prospect Theory (Kahneman and Tversky (1979)). We also find that observable sociodemographic and personal characteristics such as gender or age don't seem to correlate with specific preference types. With respect to the overall impact of preferences on trading behavior, we find a moderate impact of preferences on trading decisions of individual investors. A classification of investors according to various utility types reveals that the strength of the impact of preferences on an investors' rading behavior is not connected to most personal characteristics, but seems to be related to round-trip length.
Shortcomings revealed by experimental and theoretical researchers such as Allais (1953), Rabin (2000) and Rabin and Thaler (2001) that put the classical expected utility paradigm von Neumann and Morgenstern (1947) into question, led to the proposition of alternative and generalized utility functions, that intend to improve descriptive accuracy. The perhaps best known among those alternative preference theories, that has attracted much popularity among economists, is the so called Prospect Theory by Kahneman and Tversky (1979) and Tversky and Kahneman (1992). Its distinctive features, governed by its set of risk parameters such as risk sensitivity, loss aversion and decision weights, stimulated a series of economic and financial models that build on the previously estimated parameter values by Tversky and Kahneman (1992) to analyze and explain various empirical phenomena for which expected utility doesn't seem to offer a satisfying rationale. In this paper, after providing a brief overview of the relevant literature, we take a closer look at one of those papers, the trading model of Vlcek and Hens (2011) and analyze its implications on Prospect Theory parameters using an adopted maximum likelihood approach for a dataset of 656 individual investors from a large German discount brokerage firm. We find evidence that investors in our dataset are moderately averse to large losses and display high risk sensitivity, supporting the main assumptions of Prospect Theory.
Ongoing demographic change will lead to a relative scarcity of raw labor to the effect that output growth will be decreasing in the next decades, a secular stagnation. As physical capital will be relatively abundant, this decrease of output will be accompanied by reductions of asset returns. We quantify these effects for the US economy by developing an overlapping generations model with risky and risk-free assets. Without adjustments of human capital, risky returns decrease until 2035 by about 0.7 percentage point, and the risk-free rate by about one percentage point, leading to substantial welfare losses for asset rich households. Per capita output is reduced by 6%. Endogenous human capital adjustments strongly mitigate these effects. We conclude that human capital policies will be crucial in the context of labor shortages.
We study whether the presence of low-latency traders (including high-frequency traders (HFTs)) in the pre-opening period contributes to market quality, defined by price discovery and liquidity provision, in the opening auction. We use a unique dataset from the Tokyo Stock Exchange (TSE) based on server-IDs and find that HFTs dynamically alter their presence in different stocks and on different days. In spite of the lack of immediate execution, about one quarter of HFTs participate in the pre-opening period, and contribute significantly to market quality in the pre-opening period, the opening auction that ensues and the continuous trading period. Their contribution is largely different from that of the other HFTs during the continuous period.
The equity trading landscape all over the world has changed dramatically in recent years. We have witnessed the advent of new trading venues and significant changes in the market shares of existing ones. We use an extensive panel dataset from the European equity markets to analyze the market shares of five categories of lit and dark trading mechanisms. Market design features, such as minimum tick size, immediacy and anonymity; market conditions, such as liquidity and volatility; and the informational environment have distinct implications for order routing decisions and trading venues' resulting market shares. Furthermore, these implications differ distinctly for small and large trades, probably because traders jointly optimize their trade size and venue choice. Our results both confirm and go beyond current theoretical predictions on trading in fragmented markets.
Using two datasets containing demographically representative samples of the Dutch population, I study how lifetime experiences of aggregate labor market conditions affect personality. Three sets of findings are reported. First, experienced aggregate unemployment is negatively correlated with the levels of all Big Five personality traits, except for conscientiousness (no significant correlation). Second, in panel data models with individual fixed effects I find that changes in experienced aggregate unemployment cause changes in emotional stability and agreeableness for men, and conscientiousness for women. The correlation is positive, and effects are economically large. Thirdly, I report suggestive evidence that the main driver is experienced aggregate unemployment, instead of other macroeconomic variables as experienced GDP, stock market returns or inflation. Taken together, these findings suggest that changes in Big Five personality traits are systematically related to experienced aggregate labor market conditions.
This paper is the outcome of a related broader project, exploring the explanatory power of the Legal Theory of Finance, which proposes a new institution-based analytical framework for the analysis of phenomena of financial markets. One of its most important theoretical assumptions, the legal construction of financial markets, is highlighted by the example of the private creation of money by structured finance products in this paper. Further implications can then be shown referring to pari passu clauses and collective action clauses, which are both exhibit a differential application of these legal rules according to the hierarchical status of the respective market participant, and can therefore endanger sovereign debt restructurings. Legal instruments to avoid this are briefly explored. An example of another key role of the law in crisis that is the task to resolve the tension between market discipline and financial stability is exemplified by the regulation of the OTC derivatives market and proposals of effective loss-sharing among CCPs. Related questions about the significance of legal rules to ensure financial stability are raised in the analysis of minimum capital requirements under Basel III.
“Institutional Overburdening” to a large extent was a consequence of the “Great Moderation”. This term indicates that it was a period in which inflation had come down from rather high levels. Growth and employment were at least satisfying and variability of output had substantially declined. It was almost unavoidable that as a consequence expectations on future actions of central banks and their ability to control the economy reached an unprecedented peak which was hardly sustainable. Institutional overburdening has two dimensions. One is coming from exaggerated expectations on what central banks can achieve (“expectational overburdening”). The other dimension is “operational overburdening” i.e. overloading the central bank with more and more responsibilities and competences.
This note discusses the basic economics of central clearing for derivatives and the need for a proper regulation, supervision and resolution of central counterparty clearing houses (CCPs). New regulation in the U.S. and in Europe renders the involvement of a central counterparty mandatory for standardized OTC derivatives’ trading and sets higher capital and collateral requirements for non-centrally cleared derivatives.
From a macrofinance perspective, CCPs provide a trade-off between reduced contagion risk in the financial industry and the creation of a significant systemic risk. However, so far, regulation and supervision of CCPs is very fragmented, limited and ignores two important aspects: the risk of consolidation of CCPs on the one side and the competition among CCPs on the other side. i) As the economies of scale of CCP operations in risk and cost reduction can be large, they provide an argument in favor of consolidation, leading at the extreme to a monopoly CCP that poses the ultimate default risk – a systemic risk for the entire financial sector. As a systemic risk event requires a government bailout, there is a public policy issue here. ii) As long as no monopoly CCP exists, there is competition for market share among existing CCPs. Such competition may undermine the stability of the entire financial system because it induces “predatory margining”: a reduction of margin requirements to increase market share.
The policy lesson from our consideration emphasizes the importance of a single authority supervising all competing CCPs as well as of a specific regulation and resolution framework for CCPs. Our general recommendations can be applied to the current situation in Europe, and the proposed merger between Deutsche Börse and London Stock Exchange.
Die aktuelle Diskussion über eine Reform der gesetzlichen Rentenversicherung vermischt Fragen nach dem durchschnittlichen Rentenniveau mit Fragen der Umverteilung von Einkommen im Ruhestand zur Bekämpfung einer etwaigen Altersarmut. Dieser Beitrag kritisiert diesen Ansatz und befasst sich mit fünf Kernaussagen: (1) Die aktuell gültige Rentenformel darf unter keinen Umständen abgeschafft werden. (2) Das Renteneintrittsalter sollte an die durchschnittliche Restlebenserwartung nach dem Erreichen des 65. Lebensjahres gekoppelt werden. (3) Eine Integration der Flüchtlinge in den Arbeitsmarkt wird das Rentenniveau in den Jahren 2030 bis 2040 stützen. (4) Sollte trotz allem die Altersarmut steigen, so kann dem durch die Einführung einer Mindestrente begegnet werden. (5) Die private Altersvorsorge muss weiter gestützt werden.
n traditional portfolio theory, risk management is limited to the choice of the relative weights of the riskless asset and a diversified basket of risky securities, respectively. Yet in industry, risk management represents a central aspect of asset management, with distinct responsibilities and organizational structures. We identify frictions that lead to increased importance of risk management and describe three major challenges to be met by the risk manager. First, we derive a framework to determine a portfolio position's marginal risk contribution and to decide on optimal portfolio weights of active managers. Second, we survey methods to control downside risk and unwanted risks since investors frequently have non-standard preferences which make them seek protection against excessive losses. Third, we point out that quantitative portfolio management usually requires the selection and parametrization of stylized models of financial markets. We therefore discuss risk management approaches to deal with parameter uncertainty, such as shrinkage procedures or re- sampling procedures, and techniques of dealing with model uncertainty via methods of Bayesian model averaging.
The recent financial crisis has demonstrated that a failure of Systemically Important Financial Institutions (SIFIs) could seriously damage the stability of the financial system. A precise and consistent definition of a SIFI is pivotal to ensure efficient and effective regulation of the global financial sector. This paper proposes a threefold test logic that allows to classify Financial Institutions as systemically important across the various industry segments.
We provide a comprehensive analysis of the determinants of trading in the sovereign credit default swaps (CDS) market, using weekly data for single-name sovereign CDS from October 2008 to September 2015. We describe the anatomy of the sovereign CDS market, derive a law of motion for gross positions and their components, and identify the key factors that drive the cross-sectional and time-series properties of trading volume and net notional amounts outstanding. While a single principal component accounts for 54 percent of the variation in sovereign CDS spreads, the largest common factor explains only 7 percent of the variation in sovereign CDS net notional amounts outstanding. Moreover, unlike for CDS spreads, common global factors explain very little of the variation in sovereign CDS trading and net notional amounts outstanding, suggesting that it is driven primarily by idiosyncratic country risk. We analyze several local and regional channels that may explain the trading in sovereign CDS: (a) country-specific credit risk shocks, including changes in a country's credit rating and related outlook changes, (b) the announcement and issuance of domestic and international debt, (c) macroeconomic sentiment derived from conventional and unconventional monetary policy, macro-economic news and shocks, and (d) regulatory channels, such as changes in bank capital adequacy requirements. All our findings suggest that sovereign CDS are more likely used for hedging than for speculative purposes.
Using novel monthly data for 226 euro-area banks from 2007 to 2015, we investigate the determinants of changes in banks’ sovereign exposures and their effects during and after the crisis. First, public, bailed out and poorly capitalized banks responded to sovereign stress by purchasing domestic public debt more than other banks, with public banks’ purchases growing especially in coincidence with the largest ECB liquidity injections. Second, bank exposures significantly amplified the transmission of risk from the sovereign and its impact on lending. This amplification of the impact on lending does not appear to arise from spurious correlation or reverse causality.
The euro crisis was fueled by the diabolic loop between sovereign risk and bank risk, coupled with cross-border flight-to-safety capital flows. European Safe Bonds (ESBies), a union-wide safe asset without joint liability, would help to resolve these problems. We make three contributions. First, numerical simulations show that ESBies would be at least as safe as German bunds and approximately double the supply of euro safe assets when protected by a 30%-thick junior tranche. Second, a model shows how, when and why the two features of ESBies — diversification and seniority — can weaken the diabolic loop and its diffusion across countries. Third, we propose a step-by-step guide on how to create ESBies, starting with limited issuance by public or private-sector entities.
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.
Based on a unique data set of driving behavior we find direct evidence that private information has significant effects on contract choice and risk in automobile insurance. The number of car rides and the relative distance driven on weekends are significant risk factors. While the number of car rides and average speeding are negatively related to the level of liability coverage, the number of car rides and the relative distance driven at night are positively related to the level of first-party coverage. These results indicate multiple and counteracting effects of private information based on risk preferences and driving behavior.
Prestige and loan pricing
(2016)
We find that prestigious companies pay lower spreads and upfront fees on their loans despite the fact that prestige does not predict default risk over the life of the loan. Using survey data on firm-level prestige, we show that a one standard deviation increase in prestige reduces loan spreads by 6.18% per year and upfront fees by 22.86%. We identify causal effects (i) using fraud by industry peers as an instrument for borrower prestige and (ii) exploiting a regression discontinuity around rank 100 of the prestige survey. Banks that lend to prestigious firms attract more business afterwards compared to otherwise similar institutions. Moreover, the effect of prestige on upfront fees is particularly strong for new bank relationships. Our findings suggest that prestigious firms receive cheaper funding because the associated lending relationship helps banks establish valuable credentials they use to compete for future borrowers.
Data show that sovereign risk reduces liquidity, increases funding cost and risk of banks highly exposed to it. I build a model that rationalizes this fact. Banks act as delegated monitors and invest in risky projects and in risky sovereign bonds. As investors hear rumors of increased sovereign risk, they run the bank (via global games). Banks could rollover liquidity in repo market using government bonds as collateral, but as sovereign risk raises collateral values shrink. Overall banks’ liquidity falls (its cost increases) and so does banks’ credit. In this context noisy news (announcements with signal extraction) of consolidation policies are recessionary in the short run, as they contribute to investors and banks pessimism, and mildly expansionary in the medium run. The banks liquidity channel plays a major role in the fiscal transmission.
This paper uses recent legislation in Austria to establish a link between sovereign reputation and yield spreads. In 2009, Hypo Alpe Adria International, a bank previously co-owned by the regional government of Carinthia, had been nationalized by Austria’s central government in order to avoid a default triggering multi-billion Euro local government guarantees. In 2015, special legislation retroactively introduced collective action clauses allowing a haircut on both the bonds and the guarantees while avoiding formal default. We document that legislative and administrative action designed to partly abrogate the guarantees resulted in a loss of reputation, leading to higher yield spreads for sovereign debt. Our analysis of covered bonds uncovers an increase in yield spreads on the secondary market and a deterioration of primary market conditions.
Studies employing micro price data to examine the extent of international goods market integration tend to find that borders induce arbitrage-impeding transaction costs which contribute to segment national markets. Analyzing household scanner price data from the three euro area countries Belgium, Germany and Netherlands, we document that Belgian households living in the vicinity of the border to Netherlands pay almost 10% more for the same good as their Dutch counterparts. German consumers on the other hand face prices that are on average up to around 3% smaller than those in the neighboring Netherlands. Counterfactual evidence for within-country price discontinuities provides no evidence of any existing border effects. The induced costs of crossing national borders amount to at least 13%. We also find evidence on border discontinuities in various household preference characteristics (such as demand elasticities and goods valuation) and household shopping patterns such as shopping frequencies.
Studies employing micro price data suggest that price dispersion is larger between regions in different countries than between regions in the same country. To investigate the strength of this border effect, deviations from the law of one price are used in most studies to provide statistical evidence on the effect of borders on price dispersion. I propose an alternative measure of the economic costs of borders which has an explicit welfare-theoretic foundation. Employing a unique micro price data set from households in Belgium, Germany and the Netherlands I provide evidence on the economic importance of price differences for households. I find that price dispersion within countries has only small economic importance, but that price dispersion between Belgium and Germany (and Belgium and the Netherlands) has considerable economic importance.
Microeconometric evidence on demand-side real rigidity and
implications for monetary non-neutrality
(2016)
To model the observed slow response of aggregate real variables to nominal shocks, most macroeconomic models incorporate real rigidities in addition to nominal rigidities. One popular way of modelling such a real rigidity is to assume a non-constant demand elasticity. By using a homescan data set for three European countries, including prices and quantities bought for a large number of goods, in addition to consumer characteristics, we provide estimates of price elasticities of demand and on the degree of demand-side real rigidities. We find that price elasticites of demand are about 4 in the median. Furthermore, we find evidence for demand-side real rigidities. These are, however, much smaller than what is often assumed in macroeconomic models. The median estimate for demand-side real rigidity, the super-elasticity, is in a range between 1 and 2. To quantitatively assess the implications of our empirical estimates, we calibrate a menu-cost model with the estimated super-elasticity. We find that the degree of monetary non-neutrality doubles in the model including demand-side real rigidity, compared to the model with only nominal rigidity, suggesting a multiplier effect of around two. However, the model can explain only up to 6% of the monetary non-neutrality observed in the data, implying that additional multipliers are necessary to match the behavior of aggregate variables.
Mis-selling by banks has occurred repeatedly in many nations over the last decade. While clients may benefit from competition – enabling them to choose financial services at lowest costs – economic frictions between banks and clients may give rise to mis-selling. Examples of mis-selling are mis-representation of information, overly complex product design and non-customized advice. European regulators address the problem of mis-selling in the "Markets in Financial Instruments Directive" (MiFID) I and II and the "Markets in Financial Instruments Regulation" (MiFIR), by setting behavioral requirements for banks, regulating the compensation of employees, and imposing re-quirements on offered financial products and disclosure rules.
This paper argues that MiFID II protects clients but is not as effective as it could be. (1) It does not differentiate between client groups with different levels of financial literacy. Effective advice requires different advice for different client groups. (2) MiFID II uses too many rules and too many instruments to achieve identical goals and thereby generates excessive compliance costs. High compliance costs and low revenues would drive banks out of some segments of retail business.
Das Ergebnis des Volksentscheids im Vereinigten Königreich ist ein Weckruf. Alle Entscheidungsträger der Europäischen Union und ihrer Mitgliedstaaten sind aufgerufen, grundlegende Reformen der Verfassung einer Europäischen Union, möglicherweise nur noch einer europäischen „Kontinentalunion“ unverzüglich in Angriff zu nehmen. Unverzüglich bedeutet, einen Reformprozess nicht erst dann zu beginnen, wenn die Verhandlungen über ein Austrittsabkommen beendet worden sind. Eine Rückentwicklung der Europäischen Union zu einer bloßen Wirtschaftsgemeinschaft dürfte dabei keine Lösung sein. Es ist jetzt angezeigt, offen und – notfalls kontrovers – zu diskutieren, wie ein künftiger Bundesstaat auf europäischer Ebene aussehen könnte.
From 1963 through 2015, idiosyncratic risk (IR) is high when market risk (MR) is high. We show that the positive relation between IR and MR is highly stable through time and is robust across exchanges, firm size, liquidity, and market-to-book groupings. Though stock liquidity affects the strength of the relation, the relation is strong for the most liquid stocks. The relation has roots in fundamentals as higher market risk predicts greater idiosyncratic earnings volatility and as firm characteristics related to the ability of firms to adjust to higher uncertainty help explain the strength of the relation. Consistent with the view that growth options provide a hedge against macroeconomic uncertainty, we find evidence that the relation is weaker for firms with more growth options.
This study looks at the interrelationship between fiscal policy and safe assets as there is surprisingly little analysis about this beyond fleeting references. The study argues that from a certain point more public debt will not “buy” more safety: countries face a kind of “safe-assets Laffer curve” with a maximum amount of safe assets at some level of indebtedness. The position and “stability” of this curve depend on a number of national and international factors, including the international risk appetite and, as a more recent factor, QE policies by central banks. The study also finds evidence of declining safe assets as reflected in government debt ratings.
Under ordinary circumstances, the fiscal implications of central bank policies tend to be seen as relatively minor and escape close scrutiny. The global financial crisis of 2008, however, demanded an extraordinary response by central banks which brought to light the immense power of central bank balance sheet policies as well as their major fiscal implications. Once the zero lower bound on interest rates is reached, expanding a central bank’s balance sheet becomes the central instrument for providing additional monetary policy accommodation. However, with interest rates near zero, the line separating fiscal and monetary policy is blurred. Furthermore, discretionary decisions associated with asset purchases and liquidity provision, as well as with lender-of-last-resort operations benefiting private entities, can have major distributional effects that are ordinarily associated with fiscal policy. In the euro area, discretionary central bank decisions can have immense distributional effects across member states. However, decisions of this nature are incompatible with the role of unelected officials in democratic societies. Drawing on the response to the crisis by the Federal Reserve and the ECB, this paper explores the tensions arising from central bank balance sheet policies and addresses pertinent questions about the governance and accountability of independent central banks in a democratic society.
We consider an infinitely repeated game in which a privately informed, long-lived manager raises funds from short-lived investors in order to finance a project. The manager can signal project quality to investors by making a (possibly costly) forward-looking disclosure about her project’s potential for success. We find that if the manager’s disclosures are costly, she will never release forward-looking statements that do not convey information to external investors. Furthermore, managers of firms that are transparent and face significant disclosure-related costs will refrain from forward-looking disclosures. In contrast, managers of opaque and profitable firms will follow a policy of accurate disclosures. To test our findings empirically, we devise an index that captures the quantity of forward-looking disclosures in public firms’ 10-K reports, and relate it to multiple firm characteristics. For opaque firms, our index is positively correlated with a firm’s profitability and financing needs. For transparent firms, there is only a weak relation between our index and firm fundamentals. Furthermore, the overall level of forward-looking disclosures declined significantly between 2001 and 2009, possibly as a result of the 2002 Sarbanes-Oxley Act.
We show that the net corporate payout yield predicts both the stock market index and house prices and that the log home rent-price ratio predicts both house prices and labor income growth. We incorporate the predictability in 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. We find that households can significantly improve their welfare by optimally conditioning decisions on the predictors. For a modestly risk-averse agent with a 35-year working period and a 15-year retirement period, the present value of the higher average life-time consumption amounts to roughly $179,000 (assuming both an initial wealth and an initial annual income of $20,000), and the certainty equivalent gain is around 5.5% of total wealth (financial wealth plus human capital). Furthermore, every cohort of agents in our model would have benefited from applying predictor-conditional strategies along the realized time series over our 1960-2010 data period.
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.
Marketers increasingly use word of mouth to promote products or acquire new customers. But is such companystimulated WOM effective? Are customers who are referred by other customers really worth the effort? A recent study clearly says “yes”. In a study of almost 10,000 accounts at a German bank, the referred customers turned out to be 25 % more profi table than customers acquired by other means. Over a 33-month period, they generated higher profi t margins, were more loyal and showed a higher customer lifetime value. The difference in lifetime value between referred and non-referred customers was most pronounced among younger people and among retail (as opposed to private banking) customers. The reward of € 25 per acquired customer clearly paid off. Given the average difference in customer lifetime value of € 40, this amount implied a return on investment (ROI) of roughly 60 % over a six-year period. The encouraging results of this study, however, do not imply that “viral-for-hire” works in each and every case. Referral programs would be most beneficial for products and services that customers might not appreciate immediately. Products and services that imply some kind of risk would also benefit to a more than average degree from referrals because prospects are likely to feel more confi dent when a trusted person has positive experiences. Companies should consider carefully which prospects to target with referral programs and how large a referral fee to provide.
The success stories of design-oriented companies like Apple, Audi or Nike have put design on the agenda in many marketing departments. Consumers cannot elude the effect of aesthetics and therefore design is a major factor for business success. Typically consumers choose the product with the best design, all other aspects being equal. Only when the interplay of product characteristics, brand and design is carefully coordinated can successful products be created. This requires an integrated approach to design, one which is applied right at the beginning of the value chain. Product development, marketing and design need to work in close cooperation, communicate well and frequently, and collect feedback from the market. Superior aesthetics are always important but should be a top priority in cases where efficiency-oriented Asian competitors are able to offer functionally similar products at much lower prices.
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.
Im Nachgang der Finanz- und Wirtschaftskrise beobachten wir derzeit sehr niedrige Renditen im „sicheren“ Anlagebereich auf dem Geldmarkt und für Staatsanleihen. Gleichzeitig sind Aktienkurse massiv gestiegen und zeichnen sich seit Beginn 2015 durch eine Seitwärtsbewegung aus. Die Ursachen für diese Entwicklung sind teilweise bekannt: Niedrige Zinssätze aufgrund einer expansiven Geldpolitik gepaart mit hoher Unsicherheit an den Märkten reduzieren die Auswahl attraktiver Kapitalanlagemöglichkeiten erheblich. Doch wie wird sich die langfristige Entwicklung gestalten, wenn oder falls die Wirkungen der jüngsten Finanz- und Wirtschaftskrise nachlassen? Gibt es einen langfristigen Trend? Spiegelt sich dieser Trend etwa bereits heute in den niedrigen Renditen wider?
Vor mehr als einem Jahrzehnt, also bereits einige Jahre vor der jüngsten Finanz- und Wirtschaftskrise, wurde wiederholt die sogenannte „Asset Market Meltdown“-Hypothese postuliert. Nach dieser Hypothese würden in den dreißiger Jahren dieses Jahrhunderts die Kapitalrenditen stark sinken, wenn die „Babyboomer“-Generation in den Ruhestand gehe und infolgedessen Kapital aus dem Wertpapiermarkt abziehe. Heute wird eine ähnliche Debatte unter dem Stichwort „säkulare Stagnation“ geführt. Danach bestehe die Gefahr, dass die nächsten Jahrzehnte durch niedrige Wachstumsraten geprägt sein und negative Realzinsen gar zur Normalität werden könnten. Dieser Beitrag geht der Frage nach, inwiefern die demographische Entwicklung für eine solche Stagnation verantwortlich ist.
Steueroasen besitzen drei wichtige Merkmale, die aus der Sicht von Steuerhinterziehern und Steuervermeidern anderer Länder besondere Anziehungskraft haben. Sie bieten niedrige Steuersätze für alle oder für bestimmte Kapitaleinkommen. Sie weisen eine hohe politische Stabilität und funktionierende Institutionen auf. Schließlich verbinden sie dies mit einem hohen Maß an faktischer Intransparenz in den Besitzstrukturen von Briefkastenfirmen sowie einer ausgeprägten Vertraulichkeit von Bankdaten. Unter Führung der OECD hat sich in den letzten Jahren der politische Druck auf die internationalen Steueroasen erhöht und zu einer Reihe von bilateralen und multilateralen Abkommen zum Informationsaustausch geführt. Da diese Abkommen nicht alle Steueroasen umfassen, haben sie die Gesamtanlagen in den Steueroasen allerdings bisher nur in sehr geringem Umfang reduzieren können. In Deutschland werden die internationalen Abkommen der letzten Jahre von Seiten der Steuerpolitik aber bereits als Erfolg verbucht und eine stärker progressive Besteuerung von Kapitaleinkünften diskutiert. Falls weiterhin ein Teil der einschlägigen Steueroasen dem Informationsaustausch fernbleibt, bietet es sich an, auf bilateralem Wege Verhandlungen aufzunehmen oder den Druck über multilaterale Verfahren und Sanktionen zu erhöhen.
A stochastic forward-looking model to assess the profitability and solvency of european insurers
(2016)
In this paper, we develop an analytical framework for conducting forward-looking assessments of profitability and solvency of the main euro area insurance sectors. We model the balance sheet of an insurance company encompassing both life and non-life business and we calibrate it using country level data to make it representative of the major euro area insurance markets. Then, we project this representative balance sheet forward under stochastic capital markets, stochastic mortality developments and stochastic claims. The model highlights the potential threats to insurers solvency and profitability stemming from a sustained period of low interest rates particularly in those markets which are largely exposed to reinvestment risks due to the relatively high guarantees and generous profit participation schemes. The model also proves how the resilience of insurers to adverse financial developments heavily depends on the diversification of their business mix. Finally, the model identifies potential negative spillovers between life and non-life business thorugh the redistribution of capital within groups.
Recently there has been an explosion of research on whether the equilibrium real interest rate has declined, an issue with significant implications for monetary policy. A common finding is that the rate has declined. In this paper we provide evidence that contradicts this finding. We show that the perceived decline may well be due to shifts in regulatory policy and monetary policy that have been omitted from the research. In developing the monetary policy implications, it is promising that much of the research approaches the policy problem through the framework of monetary policy rules, as uncertainty in the equilibrium real rate is not a reason to abandon rules in favor of discretion. But the results are still inconclusive and too uncertain to incorporate into policy rules in the ways that have been suggested.
Trotz einer fast 30-jährigen Forschungs- und Umsetzungshistorie stellen Projekte zum Aufbau integrierter Datenhaushalte (Data Warehouses) für Unternehmen immer noch eine große Herausforderung dar. Gerade in Data Warehouse-Projekten bei Finanzdienstleistern führt eine hohe semantische Komplexität häufig zu Projektverzögerungen oder zum Scheitern der Vorhaben. Dies zeigt die Arbeit anhand von explorativen Fallstudien auf und fragt nach den Gründen für diesen typischen Verlauf. Eine mögliche Ursache liegt in einer unzureichenden Kommunikation zwischen den Projektbeteiligten, was zu Missverständnissen in der Konzeption und somit zu Fehlimplementierungen führt, die – gerade wenn sie spät erkannt werden – deutliche Verzögerungen und Budgetüberschreitungen zur Folge haben. Ausgehend von diesen beobachteten Praxisproblemen sucht die vorliegende Arbeit auf der Grundlage des Design-Science-Research nach Lösungsansätzen: unter Übertragung der Erkenntnisse der Kommunikationstheorie wurden drei Artefakte entwickelt, sukzessive verbessert und validiert. Die Paper zeigen auf, dass sich durch den Einsatz formalisierter Templates, eines verbesserten Vorgehensmodells in Verbindung mit einem korrespondieren Softwaretool das Kommunikationsverhalten in den Projekten verbessern lässt und somit eine höhere Projekt-Performance erreicht wird. Hierzu wurden insgesamt sechs Projekte zum Aufbau von Data Warehouses im Finanzdienstleistungsumfeld in Fallstudien analysiert und zudem Experten-Interviews mit den Projektbeteiligten durchgeführt, die im Ergebnis die positive Wirkung der Artefakte unterstützen.
SAFE Newsletter : 2016, Q2
(2016)
Understanding the shift from micro to macro-prudential thinking: a discursive network analysis
(2016)
While some economists argued for macro-prudential regulation pre-crisis, the macro-prudential approach and its emphasis on endogenously created systemic risk have only gained prominence post-crisis. Employing discourse and network analysis on samples of the most cited scholarly works on banking regulation as well as on systemic risk (60 sources each) from 1985 to 2014, we analyze the shift from micro to macro-prudential thinking in the shift to the post crisis period. Our analysis demonstrates that the predominance of formalism, particularly, partial equilibrium analysis along with the exclusion of historical and practitioners’ styles of reasoning from banking regulatory studies impeded economists from engaging seriously with the endogenous sources of systemic risk prior to the crisis. Post-crisis, these topics became important in this discourse, but the epistemological failures of banking regulatory studies pre-crisis were not sufficiently recognized. Recent attempts to conceptualize and price systemic risk as a negative externality point to the persistence of formalism and equilibrium thinking, with its attending dangers of incremental innovation due to epistemological barriers constrains theoretical progress, by excluding observed phenomena, which cannot yet be accommodated in mathematical models.
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.
Intrinsic motivation for honesty is perceived as an important determinant of large and persistent variation in cheating behavior. However, little is known about its actual role due to challenges in obtaining precise measures of motivation for honesty, as well as field outcomes on cheating. We fill these gaps using a unique setting of informal milk markets in India. A novel behavioral experiment, which combines a standard die roll task with Bluetooth technology, is used to measure motivation for honesty of milkmen at both extensive and intensive margins. We then buy milk from the same milkmen and show that cheating in the field, measured by the amount of water added to milk, widens significantly with a milkman’s degree of dishonesty. Additional analyses show that conventional binary measure of motivation for honesty suffers from measurement errors, resulting in underestimation of this association.
In this paper, we examine how the institutional design affects the outcome of bank bailout decisions. In the German savings bank sector, distress events can be resolved by local politicians or a state-level association. We show that decisions by local politicians with close links to the bank are distorted by personal considerations: While distress events per se are not related to the electoral cycle, the probability of local politicians injecting taxpayers’ money into a bank in distress is 30 percent lower in the year directly preceding an election. Using the electoral cycle as an instrument, we show that banks that are bailed out by local politicians experience less restructuring and perform considerably worse than banks that are supported by the savings bank association. Our findings illustrate that larger distance between banks and decision makers reduces distortions in the decision making process, which has implications for the design of bank regulation and supervision.