The global financial crisis of 2007-08 and its adverse effects on economic activity have put financial stability back on the agenda of both researchers and policymakers. The regulatory debate has since then revolved around the question which reforms are needed to effectively reduce the likelihood and costs of future systemic financial crises. By now, the debate has led to an update of regulatory frameworks on the national, European, and global level. This thesis contributes to the empirical research on the risks to financial stability and to the debate on the regulation of international financial markets. It builds on some of the key insights from the recent global financial crisis and the respective policy responses. Chapter 1 of the thesis analyzes the reasons behind the strong co-movements of credit risk in sovereign bond markets during the financial crisis and the subsequent euro area debt crisis. In addition, it investigates to what extent high co-movements might be the outcome of contagion and through which channels contagion occurs. Chapter 2 investigates how uncertainty in banking affects banks’ loan supply, and it analyzes if the lending behavior is heterogeneous across different types of banks. Turning to the analysis of actual policies, Chapter 3 studies the effect of liquidity provided by the Eurosystem on macroeconomic adjustment in European crisis countries. Finally, Chapter 4 of the thesis assesses the effectiveness of a macroprudential policy instrument, caps on banks’ leverage, in stabilizing credit growth during financial downturns.

In the wake of the recent financial crisis, significant regulatory actions have been taken aimed at limiting risks emanating from trading in bank business models. Prominent reform proposals are the Volcker Rule in the U.S., the Vickers Report in the UK, and, based on the Liikanen proposal, the Barnier proposal in the EU. A major element of these reforms is to separate “classical” commercial banking activities from securities trading activities, notably from proprietary trading. While the reforms are at different stages of implementation, there is a strong ongoing discussion on what possible economic consequences are to be expected. The goal of this paper is to look at the alternative approaches of these reform proposals and to assess their likely consequences for bank business models, risk-taking and financial stability. Our conclusions can be summarized as follows: First, the focus on a prohibition of only proprietary trading, as envisaged in the current EU proposal, is inadequate. It does not necessarily reduce risk-taking and it likely crowds out desired trading activities, thereby negatively affecting financial stability. Second, there is potentially a better solution to limit excessive trading risk at banks in terms of potential welfare consequences: Trading separation into legally distinct or ring-fenced entities within the existing banking organizations. This kind of separation limits cross-subsidies between banking and proprietary trading and diminishes contagion risk, while still allowing for synergies across banking, non-proprietary trading and proprietary trading.

We review existing empirical research on the design and impact of regulation in the banking sector. The impact of each individual piece of regulation may inexorably depend on the set of regulations already in place, the characteristics of the banks involved (from their size or ownership structure to operational idiosyncrasies in terms of capitalization levels or risk-taking behavior), and the institutional development of the country where the regulation is introduced. This complexity is challenging for the econometrician, who relies either on single-country data to identify challenges for regulation or on cross-country data to assess the overall effects of regulation. It is also troubling for the policy maker, who has to optimally design regulation to avoid any unintended consequences, especially those that vary over the credit cycle such as the currently developing macroprudential frameworks.

This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms.

In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.

The aim of this study is to assess the contributions of investment banking to the economy with a particular focus on the German economy. To this end we analyse both the economic benefits and the costs stemming from investment banking.

The study focuses on investment banks as this part of banking is particularly relevant for financing companies as well as the development and use of specific products to support the needs of private and professional clients. The assessment of benefits and costs of investment banking has been conducted from a European perspective. Nevertheless there is a focus on the German economy to allow a more detailed analysis of certain aspects as for example the use of derivatives by German companies, the success of M&As in Germany or the effect of securitization on loan supply and GDP in Germany. For comparison purposes other European countries and also the U.S. have been taken into account.

The last financial crisis has shown the negative impacts of banks on the financial system and the whole economy. In a study on the contribution of investment banks to systemic risk we quantify the negative side of the investment banking business.

In the last part of the study we assess how the effects of regulatory changes on investment banking. All important changes in banking and capital market regulation are taken into account such as Basel III, additional capital requirements for systemically important financial institutions, regulation of OTC derivatives and specific taxes.

This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.

Die Einführung des Europäischen Emissionshandels bedeutet, dass teilnehmende Unternehmen einen neuen Unsicherheitsfaktor bei ihrer Planung zu berücksichtigen haben - Emissionszertifikate. In diesem Artikel untersuchen wir, wie dieses Risiko um Rahmen einer stochastischen Plan- Gewinn- und Verlustrechnung (GuV) berücksichtige werden kann. Dafür erkunden wir welche Plangrößen durch den Emissionshandel beeinflusst werden. Weiter zeigen wir einen Ansatz, diese Größen in einer Plan-GuV zu modellieren. Dabei werden Unsicherheiten und Abhängigkeiten explizit berücksichtigt. Deshalb stellt das vorgestellte Modell eine Basis für Risikobewertungen und Investitionsentscheidungen im unsicheren Umfeld des CO2-Zertifikatehandels dar.

Since the introduction of the European CO2 emissions trading system (EU ETS), the

development of CO2 allowance prices is a new risk factor for enterprises taking part in this system. In this paper, we analyze how risk emerging from emissions trading can be considered in the stochastic profit and loss planning of corporations. Therefore we explore which planned figures are affected by emissions trading. Moreover, we show a way to model these positions in a planned profit and loss account accounting for uncertainties and dependencies. Consequently, this model provides a basis for risk assessment and investment decisions in the uncertain environment of CO2 emissions trading.

Bei der Kreditrisikobewertung müssen die Parameter Ausfallwahrscheinlichkeit und

-korrelation geschätzt werden. Diese Schätzung erfolgt unter Unsicherheit. In der Literatur werden asymptotische Konfidenzregionen diskutiert, um diese Unsicherheit bei der simultanen Schätzung beider Parameter zu bewerten. Diese Regionen setzen allerdings eine sehr lange Datenhistorie für eine genaue Bewertung voraus. Als Alternative bietet sich bei kurzen Datenhistorien Bootstrapping an. Diese Methode ist allerdings deutlich rechenintensiver. Im vorliegenden Beitrag wird untersucht, ab welcher Anzahl historisch verfügbarer Perioden Bootstrapping und eine Wald-Konfidenzregion zu einer vergleichbaren Bewertung des Kreditrisikos gelangen. Die hier genutzten Methoden führen zu ähnlichen Ergebnissen, wenn über 100 historische Perioden zur Verfügung stehen.