In this dissertation we investigate different aspects of capital regulations and their impact on the behavior of commercial banks. In chapter two, we foucs on the impact of capital regulations on risk-taking of commercial banks in developed and developoing countries separately and togahter. We find that such regulations indeed reduce the risk taking of commercial banks. At the same time, we examine the relationship between capital ratios and risk taking. In line with previous literature, we find that this ratio is negative also. Further examinations including the degree of liberalization and the level of finanicl development did not yield conclusive results. In chapter three, we examine the relationship between the capital regulations and total lending and total depositis. We do not find conclusive evidence in support of the ‘credit crunch' or the ‘ risk retrenchment' hypothesis. However, several important variables do show a tendency to change with capital ratios. As a result, changes in capital ratios in response to regulations do have important impact on bank lending and decision making. In chapter four, we study five South East Asian countries within the context of the crisis of 1996. First we test for the existence of depositor discipline in these countries and find that the sate of such discipline is very weak even after such a huge crisis. We also test the degree of risk taking in the banking industry in these countries. Evidence shows that perfect competition prevails in the bankins secotr. We also try to establist the link between "the index of depositor discipline" and "index of competition". But we don't find evidence in support of this.

Master of Agribusiness / Department of Agricultural Economics / Bryan Schurle / Quantifying the impact of various economic events is essential for risk management in community banks. Interest rate shocks of either rapidly increasing or decreasing rates, in magnitudes of at least 200 basis points, is one of the more common risks modeled. Liquidity crises that impact deposits or loan demand can arise from either local or national economic events is another risk factor that regulators are requiring banks to quantify and plan for. Excel spreadsheets can be used to develop models to measure and quantify these risks. Simulation tools and what-if analysis using data table and scenario manager identify possible outcomes for differing interest rate scenarios, interest rate shocks and liquidity stresses. Data table was used for simulation of a stochastic model to produce a cumulative distribution function of two hundred results each on three different interest rate environments. Scenario manager was used to narrow the simulation to a certain set of expectations affecting the balance sheet of the bank and another set of expectations from an interest rate shock. Changes in the bank’s balance sheet resulting from three different commodity price expectations were modeled. An interest rate shock of four hundred basis points over a two year period was also modeled. These models are simple and cost effective. Once data are captured, the time required to develop and generate scenarios is manageable. The model can be used for a wide range of what-if alternatives as an individual bank may see fit. These models are adequate to meet present regulatory requirements for a community bank of smaller size that is not complex and does not possess a high risk profile.