Pricing Options under Generalized GARCH and Stochastic Volatility Processes

In this paper, we develop an efficient lattice algorithm to price European and American options under discrete time GARCH processes. We show that this algorithm is easily extended to price options under generalized GARCH processes, with many of the existing stochastic volatility bivariate diffusion models appearing as limiting cases. We establish one unifying algorithm that can price options under almost all existing GARCH specifications as well as under a large family of bivariate diffusions in which volatility follows its own, perhaps correlated, process.     

Segmenting a market in the making: Industrial market segmentation as construction

This paper takes an empirical starting point in a claim that Biacore, a pioneering Swedish producer of affinity biosensors, was “in the enviable position of creating its own market” (Abelin, 1997). An in-depth case study traces how Biacore undertook segmentation activities while shaping the market for its new product technology, affinity biosensors. This involved stabilising the modes of exchange with customers, the product and the identity of the company. The efforts of Biacore highlight a constructive dimension of market segmentation that hitherto has received little attention. Rather than a process of describing, deciding and taking action, Biacore engaged in the gradual construction of market segments through an interactive and iterative process involving close collaboration with early users. Simultaneously, the market for the new technology gained shaped. Thus, the paper reports a ‘markets from networks’ story illustrating how the practice of segmenting a market may have consequences for that market.     

Building e‐support for cause‐related marketing through strategic alliances

New opportunities for nonprofit organisations to reach new donors and volunteers are being generated by an accelerated interest in cause‐related marketing on the part of both consumers and business firms, in conjunction with the emergence of the Internet. Together, these conditions have created a climate conducive for nonprofit alliances with corporations to become one of the fastest growing forms of marketing today. This paper examines online cause‐related marketing from the fundraiser's perspective, and sets forth a series of marketing management implications of building relationships with businesses and their customers as potential donors on the Internet. Copyright © 2000 Henry Stewart Publications.     

Estimating Transition Probabilities from a Time Series of Independent Cross Sections

This paper considers the implementation of a nonstationary, heterogeneous Markov model for the analysis of a binary dependent variable in a time series of independent cross sections. The model, previously considered by M offitt (1993), offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how ML estimates of the parameters can be obtained by Fisher's method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch women using data from the Socio-economic Panel (SEP) study conducted in the Netherlands between 1986 and 1995. We treat the panel data as independent cross sections and compare the employment status sequences predicted by the model with the observed sequences in the panel. Some open problems concerning the application of the model are also discussed.     

Towards a better understanding of the financial donor: an examination of donor behaviour in terms of value structure and demographics

While marketing academics have long advocated the application of marketing principles by not-for-profit organisations, a review of the literature suggests that attempts to segment financial donors have primarily concentrated on demographic variables. Recently, there have been moves to gain a better understanding of more psychographic influences on individuals' propensity to contribute to charities. It is proposed that the concept of values offers potential for enhancing this understanding. Findings confirm some earlier studies in that demographics such as age, education and household income significantly discriminate between heavy and light donors. Additionally, ten of the initial 56 values tested contribute to the overall discriminant model obtained. The profiles obtained suggest that distinct promotional strategies, with emphasis on different reasons for donating, may appeal to the two groups. Copyright © 1999 Henry Stewart Publications