A Note on Esscher Transformed Martingale Measures for Geometric Lévy Processes

نویسنده

  • Yoshio Miyahara
چکیده

The Esscher transform is one of the very useful methods to obtain the reasonable equivalent martingale measures, and it is defined with relation to the corresponding risk process. In this article we consider two kinds of risk processes (compound return process and simple return process). Then we obtain two kinds of Esscher transformed martingale measures. The first one is the one which was introduced by Gerber and Shiu, and the second one is identified with the MEMM (minimal entropy martingale measure). We set up the economical characterization of these two kinds of Esscher transforms, and then we study the properties of the above two kinds of Esscher transformed martingale measures, comparing each others.

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تاریخ انتشار 2004