Jackknifing Bond Option Prices

Prices of interest rate derivative securities depend cruciallyon the mean reversion parameters of the underlying diffusions.These parameters are subject to estimation bias when standardmethods are used. The estimation bias can be substantial evenin very large samples and much more serious than the discretizationbias, and it translates into a bias in pricing bond optionsand other derivative securities that is important in practicalwork. This article proposes a very general and computationallyinexpensive method of bias reduction that is based on Quenouille's(1956; Biometrika, 43, 353–360) jackknife. We show howthe method can be applied directly to the options price itselfas well as the coefficients in the models. We investigate itsperformance in a Monte Carlo study. Empirical applications toU.S. dollar swap rates highlight the differences between bondand option prices implied by the jackknife procedure and thoseimplied by the standard approach. These differences are largeand suggest that bias reduction in pricing options is importantin practical applications.     

PROJECTION MODELS FOR U.K. FOOD AND AGRICULTURE*

Successful policy planning depends to a large extent on being able to predict the consequences of alternative measures. In the case of agriculture, it is important to know how the future pattern of supply and demand in this sector will be affected by government action on specific issues such as farm price support, and by expected trends in macro-economic variables such as national incomes and population. This paper illustrates the application of a model of U.K. agriculture to the projection of changes in the production and consumption of food and agriculture products between now and 1975. The demand projections show the effect of important levies, and of joining the E.E.C, on future expenditure on food, while the supply projections show how the output of a number of agricultural commodities will be affected by adjusting farm prices towards E.E.C. levels.     

When customers are members: Customer retention in paid membership contexts

This article seeks to gain an understanding of how members’ characteristics relate to lapsing behavior in paid membership contexts. Literatures such as social identity theory are used to propose hypotheses that are tested using a hazard rate model on archival data pertaining to 7,798 members of an art museum. The results indicate that the hazard of lapsing is lowered with increasing duration, participation in special interest groups whose goals are related to those of the focal organization, gift frequency, and increasing interrenewal times. Conversely, members who have downgraded their membership level in the past, those who have participated in special interest groups whose goals are unrelated to those of the focal organization, and those who received their membership as a gift are more likely to lapse. C. B. Bhattacharya is an assistant professor of marketing at the Goizueta Business School of Emory University. His Ph.D. in marketing is from The Wharton School, University of Pennsylvania. His research interests include brand loyalty and brand health, customer retention, and organizational identification and disidentification. He has published in theJournal of Marketing, International Journal of Research in Marketing, Journal of Retailing and Consumer Services, Marketing Letters, and other journals. During the past few years, students in his marketing research course have addressed real problems for over 30 nonprofits. In 1995, he received The Emory Williams Distinguished Teaching Award, which is the highest teaching honor conferred by Emory University.     

The link between attractiveness of “Extrabrand” attributes and the adoption of innovations

While innovators may rush to purchase many new products, most consumers are more conservative and do not want to buy into fads but purchase only those new products that are viable. How do the majority of consumers make judgments about whether they will adopt an innovation? This article examines the evaluative aspects of adoption as a means for better understanding consumer adoption and the market factors that may influence the success of an innovation. This research introduces a conceptual model that shows how consumers’ evaluation of product category attractiveness affects the adoption decision for really new products. These consumer evaluations are based on the attributes of the product category (“extrabrand” attributes) rather than brand attributes. Results from a test of the model indicate that consumers do use extrabrand attributes to assess the attractiveness of innovative new products.     

Using Limited Information to Support the Decision to Launch a New Product in the Fruit Juice Market: A Teaching Case Study

Fresh Juice Incorporated (FJI) is in the process of determining whether it should launch a new fruit juice, Genetically Enhanced (GE) Juice. The GE Juice meets consumers' demands for a tasty, nutritious product and it would be the first new juice product in the last fifteen years. Before FJI decides to launch GE Juice, it must analyze the uncertainty surrounding market size, market share, and price of GE Juice. Finally, if FJI decides to launch GE Juice, then they must decide if they will bottle the juice themselves or outsource this process. This case teaches students how to discuss the strategic implications of launching a new product and develop a net present value and financial feasibility simulation model given limited information.