Optimal trading of an asset in the open market: A dynamic programming approach
Document Type
Article
Publication Date
1-1-2000
Abstract
Assuming that the asking price of an asset is a random observation from a known distribution function, we first consider the problem of buying an asset and selling it later within a limited period of time. The optimal strategies, derived by means of a stochastic dynamic programming technique, maximize the present value of the expected profit. We then consider the infinite-stage model where there is no time constraint. As a special case of the optimal selling strategy with finite stages, we also propose an option valuation model for the case where the buyer has the right to purchase a certain asset at a specified exercise price within a specified time. The optimal buying and selling strategies derived in the paper can be extended to various directions such as the serially correlated process and the rank-based trading strategy.
Publication Source (Journal or Book title)
Infor Journal
First Page
319
Last Page
335
Recommended Citation
Chun, Y. (2000). Optimal trading of an asset in the open market: A dynamic programming approach. Infor Journal, 38 (4), 319-335. https://doi.org/10.1080/03155986.2000.11732416