The impact of a shift in organizational role on ethical perceptions: A comparative study

This study investigates ethical decision-making by considering the differences in ethical judgments between undergraduate business and MBA students on selected ethical issues facing employees and managers of today's businesses. The study further investigates differences in ethical judgments between undergraduates and MBAs in terms of a perceived position as an employee or as a manager. The findings indicate that undergraduate students tend to be more ethical than MBA students and that both groups tend to be more ethical when they perceive themselves as managers rather than employees. The authors discuss the implications for both business practitioners and educators.Shohreh A. Kaynama is Associate Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. She earned a Ph.D. in Marketing and the Decision Sciences. Dr. Kaynama has published extensively in numerous National and International proceedings. Her area of research is strategic marketing, consumer behavior, applications of computers and decision sciences in marketing and global marketing. Louise W. Smith is Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. Dr. Smith's main professional interest is consumer behavior. Dr. Smith's articles have appeared in the Journal of Public Policy & Marketing, Journal of Health Care Marketing, Journal of Marketing Education, Journal of Services Marketing, and Journal of Consumer Marketing among others. Algin B. King is Professor of Marketing in the School of Business and Economics at Towson State University in Baltimore, Maryland. He has served on the Faculties of seven universities, publishing numerous articles in National Professional Meetings Proceedings and scholarly journals including Journal of Euro-Marketing, Atlantic Economic Journal. In addition he has served as a business consultant to numerous business firms.     

Pricing Options on an Asset with Bernoulli Jump-Diffusion Returns

The price movements of certain assets can be modeled by stochastic processes that combine continuous diffusion with discrete jumps. This paper compares values of options on assets with no jumps, jumps of fixed size, and jumps drawn from a lognormal distribution. It is shown that not only the magnitude but also the direction of the mispricing of the Black-Scholes model relative to jump models can vary with the distribution family of the jump component. This paper also discusses a methodology for the numerical valuation, via a backward induction algorithm, of American options on a jump-diffusion asset whose early exercise may be profitable. These cannot, in general, be accurately priced using analytic models. The procedure has the further advantage of being easily adaptable to nonanalytic, empirical distributions of period returns and to nonstationarity in the underlying diffusion process.     

Dynamics of the federal funds target rate: a nonstationary discrete choice approach

We apply a discrete choice approach to model the empirical behaviour of the Federal Reserve in changing the federal funds target rate, the benchmark of short‐term market interest rates in the US. Our methods allow the explanatory variables to be nonstationary as well as stationary. This feature is particularly useful in the present application as many economic fundamentals that are monitored by the Fed and are believed to affect decisions to adjust interest rate targets display some nonstationarity over time. The chosen model successfully predicts the majority of the target rate changes during the time period considered (1994–2001) and helps to explain strings of similar intervention decisions by the Fed. Based on the model‐implied optimal interest rate, our findings suggest that there is a lag in the Fed's reaction to economic shocks during this period. Copyright © 2004 John Wiley & Sons, Ltd.