Sequential static-Dynamic Hedging for Long-term Derivatives
Author(s) -
Tim Leung
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.04.131
Subject(s) - term (time) , computer science , hedge , derivative (finance) , stochastic control , mathematical optimization , asset (computer security) , trading strategy , dynamic programming , series (stratigraphy) , hamilton–jacobi–bellman equation , bellman equation , index (typography) , derivatives market , futures contract , mathematical economics , optimal control , econometrics , economics , mathematics , financial economics , algorithm , ecology , paleontology , physics , computer security , quantum mechanics , world wide web , biology
This paper presents a new methodology for hedging long-term financial derivatives written on an illiquid asset. The proposed hedging strategy combines dynamic trading of a correlated liquid asset (e.g. the market index) and static positions in market-traded options such as European puts and calls. Moreover, since most market-traded options are relatively short-term, it is necessary to conduct the static hedge sequentially over time till the long-term derivative expires. This sequential static-dynamic hedging strategy leads to the study of a stochastic control problem and the as-sociated Hamilton-Jacobi-Bellman PDEs and variational inequalities. A series of transformations allow us to simplify the problem and compute the optimal hedging strategy
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