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Optimal investing stopping in stochastic environment

Shuang Xu (Yibin City Commercial Bank of Sichuan Province, Yibin, China)
Ran Zhang (Department of Finance, Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing, China)

China Finance Review International

ISSN: 2044-1398

Article publication date: 10 May 2013

269

Abstract

Purpose

The purpose of this paper is to investigate how to determine optimal investing stopping time in a stochastic environment, such as with stochastic returns, stochastic interest rate and stochastic expected growth rate.

Design/methodology/approach

Transformation method was used for solving optimal stopping problem by providing a way to transform path‐dependent problem into a path‐independent one. Based on option pricing theory, optimal investing stopping time was thought of as an optimal executed timing problem of American‐style option.

Findings

First, the authors transform a path‐dependent stop timing problem to a path‐independent one with transformation under very general conditions, to directly use the existing conclusion of optimal stopping time literature. Second, when dynamics of capital growth is homogeneous, the authors changed the two dimensional optimal stop timing problem into a single dimension problem based on the assumption of zero exercise costs. Third, the authors investigated the comparative dynamics about asset selling boundary on asset value, state variable and return predictability. With constant discount rate and growth rate, the optimal selling timing depends on the simple comparison between capital cost and growth rate.

Originality/value

The paper's contributions to analysis method may be as follows. The authors demonstrate how to transform a path‐dependent stopping problem into a path‐independent one under general conditions. The transform method in this article can be applied to other path‐dependent optimal stopping problems. In particular, a Riccati ordinary differential equation for the transformation is set up. In most examples commonly met in finance, the equation can be solved explicitly.

Keywords

Citation

Xu, S. and Zhang, R. (2013), "Optimal investing stopping in stochastic environment", China Finance Review International, Vol. 3 No. 2, pp. 164-185. https://doi.org/10.1108/20441391311330591

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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