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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.
Libra – a global virtual currency project initiated by Facebook – has been the subject of many controversial discussions since its announcement in June 2019. This paper provides a differentiated view on Libra, recognising that different development scenarios of Libra are conceivable.
Libra could serve purely as an alternative payment system in combination with a dedicated payment token, the Libra coin. Alternatively, the Libra project could develop into a broader financial infrastructure for advanced financial services such as savings and loan products operating on the Libra blockchain. Based on a comparison of the Libra architecture with other cryptocurrencies, the opportunities and challenges for the development of the respective Libra ecosystems are investigated form a commercial, regulatory and monetary policy perspective.
Since the financial crisis financial literacy has attracted growing interest among researchers and policy makers, as there is international empirical evidence that financial literacy is poor among both adults and students. In Germany we have almost no empirical evidence on financial literacy, especially in the case of students attending secondary schools, as financial education has not featured on German school curricula to date. Besides, Germany has not yet participated in the optional financial literacy module of PISA, which was offered for the first time in 2012. However, a lack of private pension provisioning, in spite of demographic change, and low stock ownership among German households indicate a deficit in financial knowledge and skills in this country as well.
In this paper we investigate financial literacy among students aged 14 to 16 attending a secondary school in the state of Hesse. The foundation is a test designed according to international standards. The statistical analysis of the test reveals substantial deficits in key areas of financial literacy. Particular deficits could be identified in the fields of basic knowledge of financial matters and, to an even greater degree, in more advanced concepts such as risk diversification. Applying interest calculations to financial matters turned out to be problematic for many students.
Furthermore, the paper analyses the impact of gender and type of school on the overall test score as well as test performance in specific tasks. The findings suggest that financial matters should be covered in some form at secondary schools. In light of the potentially far-reaching consequences of financial illiteracy for financial wellbeing, German participation in future PISA financial literacy tests seems highly advisable to gain a deeper understanding of the preliminary findings presented in this paper.
Big data, data mining, machine learning und predictive analytics – ein konzeptioneller Überblick
(2019)
Mit der fortschreitenden Digitalisierung von Wirtschaft und Gesellschaft wächst die Bedeutung von Big Data Analytics, maschinellem Lernen und Künstlicher Intelligenz für die Analyse und Pognose ökonomischer Trends. Allerdings werden in wirtschaftspolitischen Diskussionen diese Begriffe häufig verwendet, ohne dass jeweils klar zwischen den einzelnen Methoden und Disziplinen differenziert würde. Daher soll nachfolgend ein konzeptioneller Überblick über die Gemeinsamkeiten, Unterschiede und Interdependenzen der vielfältigen Begrifflichkeiten im Bereich Data Science gegeben werden. Denn gerade für Entscheidungsträger aus Wirtschaft und Politik kann eine grundlegende Einordnung der Konzepte eine sachgerechte Diskussion über politische Weichenstellungen erleichtern.
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.
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
Revisiting the stealth trading hypothesis: does time-varying liquidity explain the size-effect?
(2019)
Large trades have a smaller price impact per share than medium-sized trades. So far, the literature has attributed this effect to the informational content of trades. In this paper, we show that this effect can arise from strategic order placement. We introduce the concept of a liquidity elasticity, measuring the responsiveness of liquidity demand with respect to changes in liquidity supply, as a major driver for a declining price impact per share. Empirical evidence based on Nasdaq stocks strongly supports theoretical predictions and shows that the aspect of liquidity coordination is an important complement to rationales based on asymmetric information.
We model the decisions of young individuals to stay in school or drop out and engage in criminal activities. We build on the literature on human capital and crime engagement and use the framework of Banerjee (1993) that assumes that the information needed to engage in crime arrives in the form of a rumour and that individuals update their beliefs about the profitability of crime relative to education. These assumptions allow us to study the effect of social interactions on crime. In our model, we investigate informational spillovers from the actions of talented students to less talented students. We show that policies that decrease the cost of education for talented students may increase the vulnerability of less talented students to crime. The effect is exacerbated when students do not fully understand the underlying learning dynamics.
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.
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.
In this paper we argue that the own findings of the SSM THEMATIC REVIEW ON PROFITABILITY AND BUSINESS MODEL and the academic literature on bank profitability do not provide support for the business model approach of supervisory guidance. We discuss in the paper several reasons why the regulator should stay away from intervening in management practices. We conclude that by taking the role of a coach instead of a referee, the supervisor generates a hazard for financial stability.
Over the life-cycle, wealth holdings tend to be highest in the early part of retirement. The quality of financial decisions among older adults is therefore an important determinant of their financial security during the asset drawdown phase. This paper assesses how financial literacy shapes financial decision-making at older ages. We devised a special module in the Singapore Life Panel survey to measure financial literacy to study its relationship with three aspects of household financial and investment behaviors: credit card debt repayment, stock market participation, and adherence to age-based investment glide paths. We found that the majority of respondents age 50+ has some grasp of concepts such as interest compounding and inflation, but fewer know about risk diversification. We provide evidence of a statistically significant positive association between financial literacy and each of the three aspects of suboptimal financial decision-making, controlling for many other factors, including education. A one-unit increase in the financial literacy score was associated with an 8.3 percentage point greater propensity to hold stocks, and a 1.7 percentage point higher likelihood of following an age-appropriate investment glide path. The financial literacy score is only weakly positively linked with timely credit card balance repayment, both in terms of statistical significance and estimate size.
Telemonitoring devices can be used to screen consumer characteristics and mitigate information asymmetries that lead to adverse selection in insurance markets. Nevertheless, some consumers value their privacy and dislike sharing private information with insurers. In a secondbest efficient Miyazaki-Wilson-Spence (MWS) framework, we allow consumers to reveal their risk type for an individual subjective cost and show analytically how this affects insurance market equilibria as well as social welfare. We find that information disclosure can substitute deductibles for consumers whose transparency aversion is sufficiently low. This can lead to a Pareto improvement of social welfare. Yet, if all consumers are offered cross-subsidizing contracts, the introduction of a screening contract decreases or even eliminates cross-subsidies. Given the prior existence of a cross-subsidizing MWS equilibrium, utility is shifted from individuals who do not reveal their private information to those who choose to reveal. Our analysis informs the discussion on consumer protection in the context of digitalization. It shows that new technologies challenge cross-subsidization in insurance markets, and it stresses the negative externalities that digitalization has on consumers who are unwilling to take part in this development.