DocumentCode :
2613168
Title :
Bounds Pricing Method of Currency Options Based on Triangular Fuzzy Numbers, Fuzzy Programming and Fuzzy Regression
Author :
Liu, Fan-Yong
Author_Institution :
Sch. of Finance & Econ., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2009
fDate :
17-20 April 2009
Firstpage :
326
Lastpage :
330
Abstract :
Some financial variables can always be observed with perturbations and be expected in the imprecise sense because of the fluctuation of financial markets. Therefore, this paper introduces fuzzy techniques, and gives a fuzzy currency options bounds pricing model. By denoting four input variables in the Garman-Kohlhagen model as triangular fuzzy numbers, the currency option price will turn into a fuzzy number. In order to construct easily the membership function of this fuzzy number, a triangular fuzzy number is used to approximate it. Then a fuzzy programming procedure is proposed to determine its lower bound and upper bound. Finally, the proposed fuzzy currency options bounds pricing model is tested with the daily market data of the EUR/USD currency option. The empirical study results indicate that the proposed method is a useful tool for modelling the imprecise problems in the foreign exchange derivative markets.
Keywords :
foreign exchange trading; fuzzy set theory; mathematical programming; pricing; regression analysis; EUR/USD currency option; Garman-Kohlhagen model; bounds pricing method; currency option price; financial markets; financial variables; foreign exchange derivative markets; fuzzy currency options; fuzzy programming; fuzzy regression; fuzzy techniques; triangular fuzzy numbers; Computer science; Computer science education; Educational programs; Educational technology; Finance; Fluctuations; Pricing; Programming profession; Springs; Upper bound; Bounds Pricing Method; Currency Options; Fuzzy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3653-8
Type :
conf
DOI :
10.1109/IACSIT-SC.2009.109
Filename :
5169367
Link To Document :
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