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Semi-Dynamic Hedging With Transaction Costs

MSRI-UP 2011: Mathematical Finance June 21, 2011 - July 24, 2011

July 22, 2011 (11:00 AM PDT - 12:00 PM PDT)
Speaker(s): Andrea Arauza (California State University, East Bay), Jason Bello
Location: SLMath: Baker Board Room



The concepts of hedging and dynamic hedging are important concepts in mathematical finance. A practical use of dynamic hedging is one of reducing the risk of a position in an option. The process of forming a replicating trading strategy that efficiently mimics the value of an option is of great interest and should be examined carefully. One process of forming a replicating trading strategy involves the use of the European call option solution to the Black-Scholes partial differential equation. While this process does a fair job of providing direction as to how to rebalance a replicating trading strategy, it makes the assumption that readjustments can be made in continuous time. This of course is not realistically possible, not only because it is physically impossible to adjust continuously but also because of transaction costs. Once transaction costs are considered, the idea of using a self-financing strategy, or a strategy in which a portfolio is formed and no funds are required after the initial investment, is no longer realistic. Various ways of discretizing this continuous process will be examined in order to find an optimal strategy that both accurately approximates the value of an option and yet remains as close to self-financing as possible. Uniform partitioning will be examined but will most likely not be the sole basis of our optimal strategy. We demonstrate that, with the proper set of conditions, a strategy for readjusting a replicating portfolio can be found such that our goals are properly met. Once this strategy has been developed, the assumption of the absence of transaction costs will be eliminated, and a more realistic way of forming a replicating trading strategy that helps hedge away risk will have been formed.

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