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In this note, a new concept for a European deposit guarantee scheme is proposed, which takes account of the strong political reservations against a mutualization of the liability for bank deposits. The three-stage model for deposit insurance outlined in the text builds on existing national deposit guarantee schemes, offering loss compensation on a European level and at the same time preventing excessive risk and moral hazard taking by individual banks.
The analyses of intersectoral linkages of Leontief (1941) and Hirschman (1958) provide a natural way to study the transmission of risk among interconnected banks and to measure their systemic importance. In this paper we show how classic input-output analysis can be applied to banking and how to derive six indicators that capture different aspects of systemic importance, using a simple numerical example for illustration. We also discuss the relationship with other approaches, most notably network centrality measures, both formally and by means of a simulated network.
This paper compares two classes of models that allow for additional channels of correlation between asset returns: regime switching models with jumps and models with contagious jumps. Both classes of models involve a hidden Markov chain that captures good and bad economic states. The distinctive feature of a model with contagious jumps is that large negative returns and unobservable transitions of the economy into a bad state can occur simultaneously. We show that in this framework the filtered loss intensities have dynamics similar to self-exciting processes. Besides, we study the impact of unobservable contagious jumps on optimal portfolio strategies and filtering.
This paper analyzes the evolving architecture for the prudential supervision of banks in the euro area. It is primarily concerned with the likely effectiveness of the SSM as a regime that intends to bolster financial stability in the steady state.
By using insights from the political economy of bureaucracy it finds that the SSM is overly focused on sharp tools to discipline captured national supervisors and thus under-incentives their top-level personnel to voluntarily contribute to rigid supervision. The success of the SSM in this regard will hinge on establishing a common supervisory culture that provides positive incentives for national supervisors. In this regard, the internal decision making structure of the ECB in supervisory matters provides some integrative elements. Yet, the complex procedures also impede swift decision making and do not solve the problem adequately. Ultimately, a careful design and animation of the ECB-defined supervisory framework and the development of inter-agency career opportunities will be critical.
The ECB will become a de facto standard setter that competes with the EBA. A likely standoff in the EBA’s Board of Supervisors will lead to a growing gap in regulatory integration between SSM-participants and other EU Member States.
Joining the SSM as a non-euro area Member State is unattractive because the cur-rent legal framework grants no voting rights in the ECB’s ultimate decision making body. It also does not supply a credible commitment opportunity for Member States who seek to bond to high quality supervision.
In this paper we provide new evidence that corporate financing decisions are associated with managerial incentives to report high equity earnings. Managers rely most heavily on debt to finance their asset growth when their future earnings prospects are poor, when they are under pressure due to past declines in earnings, negative past stock returns, and excessively optimistic analyst earnings forecasts, and when the earnings yield is high relative to bond yields so that from an accounting perspective equity is ‘expensive’. Managers of high debt issuing firms are more likely to be newly appointed and also more likely to be replaced in subsequent years. Abnormal returns on portfolios formed on the basis of asset growth and debt issuance are strongly positively associated with the contemporaneous changes in returns on assets and on equity as well as with earnings surprises. This may account for the finding that debt issuance forecasts negative abnormal returns, since debt issuance also forecasts negative changes in returns on assets and on equity and negative earnings surprises. Different mechanisms appear to be at work for firms that retire debt.
In this paper, we propose a novel approach on how to estimate systemic risk and identify its key determinants. For all US financial companies with publicly traded equity options, we extract their option-implied value-at-risks (VaRs) and measure the spillover effects between individual company VaRs and the option-implied VaR of an US financial index. First, we study the spillover effect of increasing company risks on the financial sector. Second, we analyze which companies are most affected if the tail risk of the financial sector increases. We find that key accounting and market valuation metrics such as size, leverage, balance sheet composition, market-to-book ratio and earnings have a significant influence on the systemic risk profile of a financial institution. In contrast to earlier studies, the employed panel vector autoregression (PVAR) estimator allows for a causal interpretation of the results.
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a private signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their privately observed soft information is positive or negative. Competition affects the investment in learning the private signal from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect. Finally, we show that firms where soft information was important in the lending decision were no more likely to default compared to firms where only financial information was used.
Credit boom detection methodologies (such as threshold method) lack robustness as they are based on univariate detrending analysis and resort to ratios of credit to real activity. I propose a quantitative indicator to detect atypical behavior of credit from a multivariate system - a monetary VAR. This methodology explicitly accounts for endogenous interactions between credit, asset prices and real activity and detects atypical credit expansions and contractions in the Euro Area, Japan and the U.S. robustly and timely. The analysis also proves useful in real time.
This study investigates the transition from being a listed company with a dispersed ownership structure to being a privately held company with a concentrated ownership structure. We consider a sample of private equity backed portfolio companies to evaluate the consequences of the corporate governance changes on operational performance. Our analysis shows significant positive abnormal growth in several performance ratios for the private period of our sample companies relative to comparable public companies. These performance differences come from the increase in ownership concentration after the leveraged buyout transaction.
We are able to shed light on the black box of restructuring tools private equity investors use to improve the operational performance of their portfolio companies. By building on previous work considering performance evaluation of PE backed companies, we analyze whether private equity improves operating efficiency and which of the typical restructuring tools are the main performance drivers. Using a set of over 300 international leveraged buyout transactions of the last thirty years, we find that while there is vast improvement in operational efficiency, these gains vary considerably. Our top performing transactions are subject to strong equity incentives, frequent asset restructuring and tight control by the investor. Furthermore, investors’ experience has a positive influence while financial leverage has no influence on operational performance.