A MULTINOMIAL APPROXIMATION FOR AMERICAN OPTION PRICES IN LÉVY PROCESS MODELS

This paper gives a tree-based method for pricing American options in models where the stock price follows a general exponential Lévy process. A multinomial model for approximating the stock price process, which can be viewed as generalizing the binomial model of Cox, Ross, and Rubinstein (1979) for geometric Brownian motion, is developed. Under mild conditions, it is proved that the stock price process and the prices of American-type options on the stock, calculated from the multinomial model, converge to the corresponding prices under the continuous time Lévy process model. Explicit illustrations are given for the variance gamma model and the normal inverse Gaussian process when the option is an American put, but the procedure is applicable to a much wider class of derivatives including some path-dependent options. Our approach overcomes some practical difficulties that have previously been encountered when the Lévy process has infinite activity.     

Exact Ruin Probabilities and the Evaluation of Program Trading On Financial Markets

For a compound Poisson process with negative drift and jump distribution consisting of a mixture of exponentials on [0) and on (-, 0), an exact expression is derived for the probability of hitting the level c, c > 0. the problem is motivated by modeling the returns from trading on financial markets.     

Innovators, Organization Structure and Management of the Innovation Process in the Securities Industry

This article examines innovation in the securities industry with the central objective of identifying factors that separate innovators from non-innovators. Akira Iwamura and Vijay Jog report results based on their survey of corporate finance vice presidents or CEO's of 43 investment houses from around the world. They conclude that innovative companies seem to be larger and have a well-defined strategy, with management defining the focus of the business. In addition, the firms have developed better communication channels, both internally and with their customers. Yet, the most significant difference that separates innovators from non-innovators is their management of the idea generation process, including concept generation and management's support. Innovators tend to approach idea generation in the following ways: they employ a variety of idea sources, both internal and external; they assign a specific person or group to be in charge of developing new ideas; they encourage employees at all levels to generate new ideas; they use a variety of innovative techniques to stimulate creativity; they reward their employees by non-monetary means; and they encourage group-level participation in evaluation decisions.     

Demand for durable and nondurable goods,environmental policy and consumer welfare

If a tax on energy affects the demand for a nondurable good, the stock of a durable good, and the proportion of the energy consumption per unit of service of the durable good, an integrated approach for investigating consumer demand for durables and nondurables is required. The purpose of this paper is to employ the concept of a variable expenditure function with quasi-fixed durable goods as arguments in order to derive a demand system for nondurable goods in prices of the nondurables, in the stocks of durables, and in variable expenditure. From the envelope condition desired stocks of durables can be calculated and investment demand for durables can be determined. For an application we choose a variable expenditure function based on the almost ideal demand specification, and evaluate alternative environmental policy measures using the equivalent variation for comparing the welfare effects.     

Estimating nonlinear time-series models using simulated vector autoregressions

This paper develops two new methods for conducting formal statistical inference in nonlinear dynamic economic models. The two methods require very little analytical tractability, relying instead on numerical simulation of the model's dynamic behaviour. Although one of the estimators is asymptotically more efficient than the other, a Monte Carlo study shows that, for a specific application, the less efficient estimator has smaller mean squared error in samples of the size typically encountered in macroeconomics. The estimator with superior small sample performance is used to estimate the parameters of a real business cycle model using observed US time-series data.     

An interview with Rhonda Anderson. Interview by Connie R. Curran

Nurse executives working in a hospital system experience varied and challenging opportunities to enhance the quality of patient care as well as the success of their professional careers. In this interview, Rhonda Anderson, MPA, RN, CNAA, discusses the hospital system, the managed care environment, and the importance of developing nurse managers.