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Banking and markets
(2001)
This paper integrates a number of recent themes in the literature in banking and asset markets–optimal risk sharing, limited market participation, asset-price volatility, market liquidity, and financial crises–in a general-equilibrium theory of the financial system. A complex financial system comprises both financial markets financial institutions. Financial institutions can take the form of intermediaries or banks. Banks, inlike intermediaries, are subject to runs, but crises do not imply market failure. We show that a sophisticated financiel system–a system with complete markets for aggregate risk and limited market participation–is incentive-efficient, if the institutions take the form of intermediaries, or else constrained-efficient, of they take the form of banks. We also consider an economy in which the markets for aggregate risks are incomplete. In this context, there is a rolefpr prudential regulation: regulating liquidity can improve welfare.
Competition for order flow can be characterized as a coordination game with multiple equilibria. Analyzing competition between dealer markets and a crossing network, we show that the crossing network is more stable for lower traders’ disutilities from unexecuted orders. By introducing private information, we prove existence of a unique equilibrium with market consolidation. Assets with low volatility and large volumes are traded on crossing networks, others on dealer markets. Efficiency requires more assets to be traded on crossing networks. If traders’ disutilities differ sufficiently, a unique equilibrium with market fragmentation exists. Low disutility traders use the crossing network while high disutility traders use the dealer market. The crossing network’s market share is inefficiently small.
We analyse the coordination problem in multi-creditor relationships empirically, relying on a unique panel data set that contains detailed credit-file information on distressed lending relationships in Germany, including information on creditor pools, a legal institution aiming at coordinating lender interests in borrower distress. We report three major findings. First, the existence of creditor pools increases the probability of workout success. Second, the results are consistent with coordination costs being positively related to pool size. Third, major determinants of pool formation are found to be the number of banks, the distribution of lending shares, and the severity of the distress shock.
The paper analyses the relationship between deposit insurance, debt-holder monitoring, bank charter values, and risk taking for European banks. Utilising cross-sectional and time series variation in the existence of deposit insurance schemes in the EU, we find that the establishment of explicit deposit insurance significantly reduces the risk taking of banks. This finding stands in contrast to most of the previous empirical literature. It supports the hypothesis that in the absence of deposit insurance, European banking systems have been characterised by strong implicit insurance operating through the expectation of public intervention at times of distress. Hence the introduction of an explicit system may imply a de facto reduction in the scope of the safety net. This finding provides a new perspective on the effects of deposit insurance on risk taking. Unless the absence of any safety net is credible, the introduction of deposit insurance serves to explicitly limit the safety net and, hence, moral hazard. We also test further hypotheses regarding the interaction between deposit insurance and monitoring, charter values and "too-big-to-fail." We find that banks with lower charter values and more subordinated debt reduce risk taking more after the introduction of explicit deposit insurance, in support of the notion that charter values and subordinated debt may mitigate moral hazard. Finally, large banks (as measured in relation to the banking system as a whole) do not change their risk taking in response to the introduction of deposit insurance, which suggests that the introduction of explicit deposit insurance does not mitigate "too-big-to-fail" problems.
Our study provides evidence on the share price reactions to the announcement of equity issues in Germany, where capital market is characterized by institutional features distinct from the U.S. market. German seasoned equity issues yield a positive market reaction which contrasts to the significant negative abnormal returns reported for the U.S. We provide evidence that these results are due to differences in both issuing characteristics and floatation methods, and in the corporate governance and ownership structures of the two countries. Our study explains much of the empirical puzzle of different market reactions to seemingly similar events across financial markets.
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data. We show that their proposal disregards cross-sectional dependence in resampled portfolios, which renders standard statistical inference invalid. We proceed by suggesting the Berkowitz (1999) procedure, which relies on standard likelihood ratio tests performed on transformed default data. We simulate the power of this approach in various settings including one in which the test is extended to incorporate cross-sectional information. To compare the predictive ability of alternative models, we propose to use either Bonferroni bounds or the likelihood-ratio of the two models. Monte Carlo simulations show that a default history of ten years can be sufficient to resolve uncertainties currently present in credit risk modeling.
Evaluating the quality of credit portfolio risk models is an important question for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data and to produce measures of forecast accuracy. We first show that their proposal disregards crosssectional dependence in simulated subportfolios, which renders standard statistical inference invalid. We proceed by suggesting another evaluation methodology which draws on the concept of likelihood ratio tests. Specifically, we compare the predictive quality of alternative models by comparing the probabilities that observed data have been generated by these models. The distribution of the test statistic can be derived through Monte Carlo simulation. To exploit differences in cross-sectional predictions of alternative models, the test can be based on a linear combination of subportfolio statistics. In the construction of the test, the weight of a subportfolio depends on the difference in the loss distributions which alternative models predict for this particular portfolio. This makes efficient use of the data, and reduces computational burden. Monte Carlo simulations suggest that the power of the tests is satisfactory.
JEL classification: G2; G28; C52
In this paper we have developed a financial model of the non-life insurer to provide assistance for the management of the insurance company in making decisions on product, investment and reinsurance mix. The model is based on portfolio theory and recognizes the stochastic nature of and the interaction between the underwriting and investment income of the insurance business. In the context of an empirical application we illustrate howa portfolio optimisation approach can be used for asset-liability management.