2009Zhōngguó cáiwù xuékānRequires access

The pricing measure for geometric Levy processes under incomplete financial markets

Hwai‐Chung Ho, Tsun-Siou Lee, Hung-Chou Tsai

Open publisher page 0 citations

Abstract

In this paper, Esscher transformation is applied to construct a martingale measure in the framework of geometric Levy process. By means of a relation between exponential Levy process and stochastic exponential of Levy process, it is shown that a Levy process is a martingale if and only if its stochastic exponential is a martingale. While Esche and Schweizer (2005) offer the sufficient condition for the Esscher measure to be the minimal entropy martingale measure, we provide the necessary condition for the statement to be true based on the above result. Key words: minimal entropy martingale measure, exponential Levy process, stochastic exponential of Levy process

About this research paper

What this paper is about

In this paper, Esscher transformation is applied to construct a martingale measure in the framework of geometric Levy process. By means of a relation between exponential Levy process and stochastic exponential of Levy process, it is shown that a Levy process is a martingale if and only if its stochastic exponential is a martingale. While Esche and Schweizer (2005) offer the sufficient condition for the Esscher measure to be the minimal entropy martingale measure, we provide the necessary condition for the statement to be true based on the above result. Key words: minimal entropy martingale measure, exponential Levy process, stochastic exponential of Levy process

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, Esscher transformation is applied to construct a martingale measure in the framework of geometric Levy process. By means of a relation between exponential Levy process and stochastic exponential of Levy process, it is shown that a Levy process is a martingale if and only if its stochastic exponential is a martingale. While Esche and Schweizer (2005) offer the sufficient condition for the Esscher measure to be the minimal entropy martingale measure, we provide the necessary condition for the statement to be true based on the above result. Key words: minimal entropy martingale measure, exponential Levy process, stochastic exponential of Levy process

Key concepts: Doob's martingale inequality, Martingale (probability theory), Local martingale, Lévy process, Martingale pricing, Exponential function, Mathematics, Measure (data warehouse)

Related papers

Back to paper searchBrowse research topicsOriginal source
The pricing measure for geometric Levy processes under incomplete financial markets — Research Paper | ScholarLens