Purpose – To study stochastic volatility in the pricing of options. Design/methodology/approach – Random‐coefficient autoregressive and generalized autoregressive conditional heteroscedastic models are studied. The option‐pricing formula is viewed as a moment of a truncated normal...

Purpose – Automated body condition scoring (BCS) through extraction of information from digital images has been demonstrated to be feasible; and commercial technologies are being developed. The primary objective of this research was to identify the factors that influence the potential...

The use of a deterministic numeric paradigm in auditing and accounting may well be the root cause of many current problems. This paper argues that risk‐based accounting methods should start using probabilistic inputs which would show resultant distributions as output. “Stochastic...

Reviews previous research on the nature of beta and investigates the stochastic structure of time‐varying beta in Hong Kong, Malaysia and Singapore using the bi‐variate GARCH‐in‐mean model and fractional tests. Develops mathematical models and applies them to 1989‐1998 daily data from...

Outlines previous research on the security analyst “superstar” phenomenon, including the stochastic model of Yule and Simon. Applies this to data on the 1986‐1997 selections for the Institutional Investor’s All‐British Research First Team (ABRT) and finds that it does not explain the...

The Poisson regression model remains an important tool in the econometric analysis of count data. In a pioneering contribution to the econometric analysis of such models, Lung-Fei Lee presented a specification test for a Poisson model against a broad class of discrete distributions sometimes...

This paper concentrates on negatively skewed one-sided distributions as an explanation of the occurrence of positive (negative) skewness in the case of stochastic production (cost) frontieranalysis. It takes as example the binomial distribution that can have negative or positive skewand derives...