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We analyze incentives for loan officers in a model with hidden action, limited liability and truth-telling constraints under the assumption that the principal has private information from an automatic scoring system. First we show that the truth-telling problem reduces the bank’s expected profit whenever the loan officer cannot only conceal bad types, but can also falsely report bad types. Second, we investigate whether the bank should reveal her private information to the agent. We show that this depends on the percentage of good loans in the population and on the signal’s informativeness. Though we had to define different regions for different parameters, we concluded that it might often be favorable to not reveal the signal. This contradicts current practice.
We investigate the suggested substitutive relation between executive compensation and the disciplinary threat of takeover imposed by the market for corporate control. We complement other empirical studies on managerial compensation and corporate control mechanisms in three distinct ways. First, we concentrate on firms in the oil industry for which agency problems were especially severe in the 1980s. Due to the extensive generation of excess cash flow, product and factor market discipline was ineffective. Second, we obtain a unique data set drawn directly from proxy statements which accounts not only for salary and bonus but for the value of all stock-market based compensation held in the portfolio of a CEO. Our data set consists of 51 firms in the U.S. oil industry from 1977 to 1994. Third, we employ ex ante measures of the threat of takeover at the individual firm level which are superior to ex post measures like actual takeover occurrence or past incidence of takeovers in an industry. Results show that annual compensation and, to a much higher degree, stock-based managerial compensation increase after a firm becomes protected from a hostile takeover. However, clear-cut evidence that CEOs of protected firms receive higher compensation than those of firms considered susceptible to a takeover cannot be found.
Individual financial systems can be understood as very specific configurations of certain key elements. Often these configurations remain unchanged for decades. We hypothesize that there is a specific relationship between key elements, namely that of complementarity. Thus, complementarity seems to be an essential feature of financial systems. Intuitively speaking, complementarity exists if the elements of a (financial) system reinforce each other in terms of contributing to the functioning of the system. It is the purpose of this paper to provide an analytical clarification of the concept of complementarity. This is done by modeling financial systems as combinations of four elements: firm-specific human capital of an entrepreneur, the ability of a bank to restructure the borrower's firm in the case of distress, the possibility to appropriate private benefits from running the firm, and the bankruptcy law. A specific configuration of these elements constitutes one financial system. The bankruptcy law and the potential private benefits are treated as exogenous. They determine the bargaining power of the contracting parties in the case that recontracting occurs. In a two-stage game, the optimal values for the other elements are determined by the agents individually - by investing in human capital and restructuring skills, respectively - and jointly by writing, executing and possibly renegotiating a financing contract for the firm. The paper discusses the equilibria for different types of bankruptcy law and demonstrates that equilibria exhibit the sought-after feature of complementarity. Three particularly significant equilibria correspond to stylized accounts of the British, German and the US-American financial system, respectively.
The paper presents an empirical analysis of the alledged transformation of the financial systems in the three major European economies, France, Germany and the UK. Based on a unified data set developed on the basis of national accounts statistics, and employing a new and consistent method of measurement, the following questions are addressed: Is there a common pattern of structural change; do banks lose importance in the process of change; and are the three financial systems becoming more similar? We find that there is neither a general trend towards disintermediation, nor towards a transformation from bank-based to capital market-based financial systems, nor for a loss of importance of banks. Only in the case of France strong signs of transformation as well as signs of a general decline in the role of banks could be found. Thus the three financial systems also do not seem to become more similar. However, there is also a common pattern of change: the intermediation chains are lengthening in all three countries. Nonbank financial intermediaries are taking over a more important role as mobilizers of capital from the non-financial sectors. In combination with the trend towards securitization of bank liabilites, this change increases the funding costs of banks and may put banks under pressure. In the case of France, this change is so pronounced that it might even threaten the stability of the financial system.
Hackethal and Schmidt (2003) criticize a large body of literature on the financing of corporate sectors in different countries that questions some of the distinctions conventionally drawn between financial systems. Their criticism is directed against the use of net flows of finance and they propose alternative measures based on gross flows which they claim re-establish conventional distinctions. This paper argues that their criticism is invalid and that their alternative measures are misleading. There are real issues raised by the use of aggregate data but they are not the ones discussed in Hackethal and Schmidt’s paper. JEL Classification: G30
US investors hold much less foreign stocks than mean/variance analysis applied to historical data predicts. In this article, we investigate whether this home bias can be explained by Bayesian approaches to international asset allocation. In contrast to mean/variance analysis, Bayesian approaches employ different techniques for obtaining the set of expected returns. They shrink sample means towards a reference point that is inferred from economic theory. We also show that one of the Bayesian approaches leads to the same implications for asset allocation as mean-variance/tracking error criterion. In both cases, the optimal portfolio is a combination the market portfolio and the mean/variance efficient portfolio with the highest Sharpe ratio.
Applying the Bayesian approaches to the subject of international diversification, we find that substantial home bias can be explained when a US investor has a strong belief in the global mean/variance efficiency of the US market portfolio and when he has a high regret aversion falling behind the US market portfolio. We also find that the current level of home bias can justified whenever regret aversion is significantly higher than risk aversion.
Finally, we compare the Bayesian approaches to mean/variance analysis in an empirical out-ofsample study. The Bayesian approaches prove to be superior to mean/variance optimized portfolios in terms of higher risk-adjusted performance and lower turnover. However, they not systematically outperform the US market portfolio or the minimum-variance portfolio.
We analyze exchange rates along with equity quotes for 3 German firms from New York (NYSE) and Frankfurt (XETRA) during overlapping trading hours to see where price discovery occurs and how stock prices adjust to an exchange rate shock. Findings include: (a) the exchange rate is exogenous with respect to the stock prices; (b) exchange rate innovations are more important in understanding the evolution of NYSE prices than XETRA prices; and (c) most (but not all) of the fundamental or random walk component of firm value is determined in Frankfurt.
In contrast to the United States and the United Kingdom, little empirical work exists about the distributional characteristics of appraisalbased real estate returns outside these countries. The purpose of this study is to fill this gap by focusing on Germany. In line with other studies, this paper offers an extensive investigation into the distribution of German real estate returns and compares them with and U.S. and U.K. data in the same period. Furthermore, the comovements with bonds and stocks are also examined. In the core, the distributional characteristics for German real estate are comparable to that for the U.S. and U.K.
U.S. investors hold much less international stock than is optimal according to mean–variance portfolio theory applied to historical data. We investigated whether this home bias can be explained by Bayesian approaches to international asset allocation. In comparison with mean–variance analysis, Bayesian approaches use different techniques for obtaining the set of expected returns by shrinking the sample means toward a reference point that is inferred from economic theory. Applying the Bayesian approaches to the field of international diversification, we found that a substantial home bias can be explained when a U.S. investor has a strong belief in the global mean–variance efficiency of the U.S. market portfolio, and in this article, we show how to quantify the strength of this belief. We also found that one of the Bayesian approaches leads to the same implications for asset allocation as the mean–variance/tracking-error criterion. In both cases, the optimal portfolio is a combination of the U.S. market portfolio and the mean–variance-efficient portfolio with the highest Sharpe ratio.
For the Neuer Markt year 2001 is not considered as one of its best, compared to its prior performance. Investors who once piled into the Neuer Markt have now become wary of the exchange, which was launched in 1997 as Europe’s leading growth market and answer to the U.S.‘s Nasdaq Stock Market. The Neuer Markt’s reputation has been marred by the misleading information policy from several Neuer Markt companies, publishing false annual and quarterly data. Some of these companies are responsible for having misinformed investors of their pending bankruptcies. Under these circumstances, it is time to find an explanation for the dramatic loss of credibility in Neuer Markt enterprises. Finding an answer, two aspects come under consideration: • What type of information (annual versus quarterly reports) was available for investors and • of what quality were these provided data. Interim reports can be seen as important instrument in the reporting system to inform all kinds of investors. For this reason we examine the quality of Neuer Markt quarterly reports by concentrating on the disclosure level of 52 Neuer Markt companies‘ reports for the third quarter 1999 and 2000. To enable comparison we establish four disclosure indexes that measure the report’s compliance with the Neuer Markt Rules and Regulations as well as with IAS and US GAAP interim reporting standards. The results demonstrate that the level of disclosure has increased over time. Then we aim to find typical attributes of Neuer Markt enterprises that provide high or low level of accounting information in their quarterly reports. Nevertheless the study also shows that there is not any correlation between market capitalization and the quality of interim reports. However, it can be suggested that an additional enforcement mechanism could improve quality and lure investors back. A step towards this aim is the standardization project of quarterly reports of Deutsche Boerse AG.