Business Commons^™

The Determinants Of Executive Compensation In The Commercial Banking Industry, David A. Romer

Doctoral Dissertations

The primary purpose of this study is to examine the viability of two basic theories of compensation to explain executive compensation in the banking industry. The two executive compensation motivation theories are sales/sales growth maximization and profit/shareholder wealth maximization. Overall, strong support is found for both theories. This research also seeks to significantly expand, compared to previous research, the number of banks investigated. This study succeeds, with over a four-fold increase in the number of banks analyzed, including over 330 banks not previously used in the literature. This investigation is further motivated by the paucity of banking studies on compensation …

Three Essays On Banking And Corporate Finance, Fang Zhao

Doctoral Dissertations

This dissertation is composed of three essays on banking and corporate finance. The first essay studies the relationship between interest-rate derivative usage and bank lending. Using recent data that cover a full business cycle, this paper documents a direct relationship between interest-rate derivative usage by U.S. banks and growth in their commercial and industrial (C&I) loan portfolios. This positive association holds for interest-rate options contracts, forward contracts, and futures contracts. This result is consistent with the implication of Diamond's model (1984) that predicts that a bank's use of derivatives permits better management of systematic risk exposure, thereby lowering the cost …

Modeling And Simulation Of Value -At -Risk In The Financial Market Area, Xiangyin Zheng

Doctoral Dissertations

Value-at-Risk (VaR) is a statistical approach to measure market risk. It is widely used by banks, securities firms, commodity and energy merchants, and other trading organizations. The main focus of this research is measuring and analyzing market risk by modeling and simulation of Value-at-Risk for portfolios in the financial market area. The objectives are (1) predicting possible future loss for a financial portfolio from VaR measurement, and (2) identifying how the distributions of the risk factors affect the distribution of the portfolio. Results from (1) and (2) provide valuable information for portfolio optimization and risk management.

The model systems chosen …