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Some Applications of Lévy Processes to Stochastic Investment Models for Actuarial Use
Published online by Cambridge University Press: 29 August 2014
Abstract
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This paper presents a continuous time version of a stochastic investment model originally due to Wilkie. The model is constructed via stochastic differential equations. Explicit distributions are obtained in the case where the SDEs are driven by Brownian motion, which is the continuous time analogue of the time series with white noise residuals considered by Wilkie. In addition, the cases where the driving “noise” are stable processes and Gamma processes are considered.
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- Copyright © International Actuarial Association 1998
References
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