Keyword: pricing, hedging, derivative, quasi-Newton
| 論文タイトル | A multiobjective genetic programming approach for pricing and hedging derivative securities |
| 出版情報 | 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, proceedings, March 20-23, 2003, Hong Kong Convention and Exhibition Centre, Hong Kong |
| 著者 | Schuster, M.G. |
| 概要（abstract） | "Genetic programming has become increasingly important in the broad field of finance. Due to the fact that in the context of pricing derivatives a lot of models are not amenable to analytical exact solutions, this is especially true for the research area of contingent claim pricing. Previous work in this field almost certainly always focuses on pricing such derivatives. In doing so, the implied hedging performance is totally ignored due to the lack of an analysis of price sensitivities which are fundamental building-blocks in hedging-strategies. In this contribution we apply a multiobjective genetic programming approach to the American put pricing problem and evaluate our individuals based on the pricing as well as on the hedging performance by means of symbolic differentiation." |
| 使用されているnAG製品 | 遺伝的アルゴリズム（GA）を用いて最適化問題を解く際に使用される quasi-Newton アルゴリズムに nAG Fortran Library の該当ルーチンが使用されている。 |