Department of Management
Date of this Version
2012
Citation
Published in The Journal of Risk and Insurance 2012 (28 pp); doi: 10.1111/j.1539-6975.2012.01481.x
Abstract
This article proposes a stochastic model, which captures mortality correlations across countries and common mortality shocks, for analyzing catastrophe mortality contingent claims. To estimate our model, we apply particle filtering, a general technique that has wide applications in non-Gaussian and multivariate jump-diffusion models and models with nonanalytic observation equations. In addition, we illustrate how to price mortality securities with normalized multivariate exponential titling based on the estimated mortality correlations and jump parameters. Our results show the significance of modeling mortality correlations and transient jumps in mortality security pricing.
Included in
Corporate Finance Commons, Finance and Financial Management Commons, Portfolio and Security Analysis Commons
Comments
Copyright © 2012 The Journal of Risk and Insurance. Used by permission.