Mean-Variance Hedging Based on an Incomplete Market with External Risk Factors of Non-Gaussian OU Processes
Mean-Variance Hedging Based on an Incomplete Market with External Risk Factors of Non-Gaussian OU Processes
复制标题
基于非高斯OU过程外部风险因素不完全市场的均值方差对冲
DOI:
10.1155/2015/625289
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发表时间:
2014-10
影响因子:
--
通讯作者:
Wanyang Dai
中科院分区:
文献类型:
--
作者:
Wanyang Dai
In this paper, we prove the global risk optimality of the hedging strategy of contingent claim, which is explicitly (or called semi-explicitly) constructed for an incomplete financial market with external risk factors of non-Gaussian Ornstein-Uhlenbeck (NGOU) processes. Analytical and numerical examples are both presented to illustrate the effectiveness of our optimal strategy. Our study establishes the connection between our financial system and existing general semimartingale based discussions by justifying required conditions. More precisely, there are three steps involved. First, we firmly prove the no-arbitrage condition to be true for our financial market, which is used as an assumption in existing discussions. In doing so, we explicitly construct the square-integrable density process of the variance-optimal martingale measure (VOMM). Second, we derive a backward stochastic differential equation (BSDE) with jumps for the mean-value process of a given contingent claim. The unique existence of adapted strong solution to the BSDE is proved under suitable terminal conditions including both European call and put options as special cases. Third, by combining the solution of the BSDE and the VOMM, we reach the justification of the global risk optimality for our hedging strategy.
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