Dynamic hedging of basket options under proportional transaction costs using receding horizon control

被引:33
作者
Primbs, James A. [1 ]
机构
[1] Stanford Univ, Stanford, CA 94022 USA
关键词
receding horizon control; model predictive control; dynamic hedging; semi-definite programming; GENERATING SCENARIO TREES; MODEL-PREDICTIVE CONTROL; STOCHASTIC MPC; REPLICATION; ASSET;
D O I
10.1080/00207170902783341
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we develop a semi-definite programming-based receding horizon control approach to the problem of dynamic hedging of European basket call options under proportional transaction costs. The hedging problem for a European call option is formulated as a finite horizon constrained stochastic control problem. This allows us to develop a receding horizon control approach that repeatedly solves semi-definite programmes on-line in order to dynamically hedge. This approach is competitive with Black-Scholes delta hedging in the one-dimensional case with no transaction costs, but it also applies to multi-dimensional options such as basket options, and can include transaction costs. We illustrate its effectiveness through a numerical example involving an option on a basket of five stocks.
引用
收藏
页码:1841 / 1855
页数:15
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