Euro and FIBOR interest rates: A continuous time modelling analysis

The introduction of the Euro in January 1999 and the new reference interest rate EURIBOR® which is widely used as the underlying interest rate for Euro denominated derivative contracts have opened up a new area of research in international financial markets. In this paper we estimate single factor models using daily EURIBOR® and FIBOR interest rate data. We also estimate a model allowing a level-GARCH specification and a two factor model. We find evidence of level-volatility effects in both rates.     

A TEST OF BAYESIAN LEARNING FROM FARMER TRIALS OF NEW WHEAT VARIETIES*

In this study, elicited estimates of farmers' subjective beliefs about the mean and variance of wheat variety yields were used to test propositions about Bayesian learning developed in the recent literature on innovation adoption. A series of empirical tests of the Bayesian adoption model were conducted using beliefs elicited from farm surveys conducted in 1982, 1983 and 1984. The results of the analysis neither confirm nor reject the Bayesian approach as a model of how farmers revise subjective beliefs, but do raise serious doubts about its realism, and suggest some issues requiring further investigation. Shortcomings in the elicitation techniques are discussed and the assumptions of the Bayesian model are reviewed.     

Goal programming solutions to transportation problems with variable supply and demand requirements

This article deals with goal programming as an aid to resolving transportation problems. The objective of this study is to demonstrate the use of goal programming as an approach to reducing total cost in transportation problems that possess variable supply and demand requirements. A generalized goal programming model is formulated and applied to a series of transportation problem situations based on the empirical data provided by a medium-size trucking firm. Comparison of the results demonstrates the cost advantage of using the goal programming model in place of the transportation method and integer interval linear programming.     

The impact of cognitive age on Internet use of the elderly: an introduction to the public policy implications

Despite the growth of the Internet, one area that has not really been discussed is the elderly's use of the Internet. Given the rapid growth of this population as well as the potential the Internet holds for them, it is a subject worth consideration. However, seniors cannot be defined simply by their chronological age, but by their cognitive age. This paper discusses the impact of cognitive age of a national random sample of American elderly consumers on their Internet use. The results suggest that those seniors with a younger cognitive age use the Internet more than those seniors with an older cognitive age. Additionally, seniors with a younger cognitive age have more social contact off‐line (but not online) than those seniors with an older cognitive age. Finally, in terms of demographic variables, chronological age is positively associated with cognitive age and women report a younger cognitive age than men. These results suggest that for policy makers interested in increasing the participation of seniors, they can utilize the Internet to reach those who are younger in terms of cognitive age; however, they will not be able to reach all seniors in this manner and they need to utilize the Internet as a complementing media to their traditional communication sources.     

Centralized and decentralized control polices for a two-stage stochastic supply chain with subcontracting

An analysis of control policies for a two-stage supply chain with subcontractors at each stage is presented when decisions at each stage concerning safety stocks, backorders, and subcontracting are made jointly or in a decentralized manner. The inventory/admission control policies considered are base stock, echelon base stock and partial backordering, and the objective is to maximize the mean profit rate of the system. The optimal control parameters are found by exhaustive search using Markov chains. From numerical examples it appears that the policies which manage jointly sales and production levels in each stage provide much higher overall (system) profits than decentralized policies, although the latter are individually more profitable for the second stage. In addition, partial backordering provides the system with an extra profit above those that result from the lost sales (no backordering) and complete backordering policies. Finally, a number of numerical results show the impact of variations in certain system parameters on the optimal control parameters and the corresponding profit.