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arXiv 1806.04025math.PRq-fin.MF
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柱鞅驱动的倒向随机微分方程及其在债券市场近似套期保值中的应用

BSDEs driven by cylindrical martingales with application to approximate hedging in bond markets

Yushi Hamaguchi

摘要:

考虑连续函数空间上由柱鞅驱动的Lipschitz型倒向随机微分方程.我们证明了这种无限维倒向随机微分方程解的存在唯一性,并证明了相应的有限维倒向随机微分方程的解序列逼近原解。我们还考虑了债券市场中的套期保值问题,证明了对于一个近似可达的未定权益,基于小市场的局部风险最小化策略序列收敛于广义套期保值策略。

英文摘要:

We consider Lipschitz-type backward stochastic differential equations (BSDEs) driven by cylindrical martingales on the space of continuous functions. We show the existence and uniqueness of the solution of such infinite-dimensional BSDEs and prove that the sequence of solutions of corresponding finite-dimensional BSDEs approximates the original solution. We also consider the hedging problem in bond markets and prove that, for an approximately attainable contingent claim, the sequence of locally risk-minimizing strategies based on small markets converges to the generalized hedging strategy.

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