Some extension economists and others often recommend profit margin hedging in choosing thetiming of crop sales. This paper determines producer’s utility function and price processeswhere profit margin hedging is optimal. Profit margin hedging is shown to be an optimalstrategy under a highly...

This paper develops a framework to link the expected utility analysis to real options models in order to capture the joint effects of risk aversion and irreversibility associated with real investments. It aims at modifying the theory of investment under uncertainty by incorporating decision...

Agricultural cooperatives tend to be riskier than investor-oriented firms, both in a business and financial sense. However, cooperative managers are often reluctant to actively manage risk. Although the “risk management irrelevance proposition” suggests that cooperative managers should be...

The typical model of retail pricing for produce products assumes retailers set price equal to the farm price plus a certain markup. However, observations from scanner data indicate a large degree of price dispersion in the grocery retailing market. In addition to markup pricing behavior, we...

Physical security systems are intended to prevent or mitigate potentially catastrophicloss of property or life. Decisions regarding the selection of one system orconfiguration of resources over another may be viewed as design decisions within arisk theoretic setting. The problem of revealing a...

In this paper, we propose a framework for robust optimization that relaxes the standard notion of robustness by allowing the decision maker to vary the protection level in a smooth way across the uncertainty set. We apply our approach to the problem of maximizing the expected value of a payoff...

This half-semester course discusses decision theory and topics in game theory. We present models of individual decision-making under certainty and uncertainty. Topics include preference orderings, expected utility, risk, stochastic dominance, supermodularity, monotone comparative statics,...

Process models are used by information professionals to convey semantics about the business operations in a real world domain intended to be supported by an information system. The understandability of these models is vital to them being used for information systems development. In this paper,...

A novel procedure is described for accelerating the convergence of Markov chain Monte Carlo computations. The algorithm uses an adaptive bootstrap technique to generate candidate steps in the Markov Chain. It is efficient for symmetric, convex probability distributions, similar to multivariate...