CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Valuation of energy derivatives using intelligent methods

عنوان مقاله: Valuation of energy derivatives using intelligent methods
شناسه ملی مقاله: FJCFIS02_152
منتشر شده در دومین کنگره مشترک سیستمهای فازی و هوشمند ایران در سال 1387
مشخصات نویسندگان مقاله:

Mohammad Alami Bayat - Swiss Finance Institute, Lugano,Switzerland
Vali Derhami - Yazd University, Yazd, Iran

خلاصه مقاله:
In this paper several models including two stunning neural networks models in approximation of prices of call options on futures has been investigated.Using five inputs including risk free rate, futures price, strike price, and time to maturity and volatility we could compute call options prices far better thanconventional methods. Variety of new methods has been tested. Our tests on data at its best resulted in a successful MLP which computes call prices more efficiently

کلمات کلیدی:
Artificial neural networks, crude oil markets, options and futures contracts, volatility smile

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/203862/