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美式期权FHS-GARCH-LSM定价新方法
引用本文:刘强,向赟.美式期权FHS-GARCH-LSM定价新方法[J].复旦学报(自然科学版),2012,51(4):480-485.
作者姓名:刘强  向赟
作者单位:西南财经大学金融学院,成都,611130
基金项目:国家自然科学基金资助项目,西南财经大学“211工程”三期建设重点项目《美式期权的蒙特卡洛定价方法研究》
摘    要:将FHS-GARCH与最小二乘蒙特卡洛(LSM)方法结合,提出了一种美式期权定价的新方法——FHS-GARCH-LSM方法.用2008年下半年S&P100指数美式看跌期权的10 478个价格数据进行实证分析,发现与经典的Black-Scholes模型相比,FHS-GARCH-LSM方法对市场上交易的美式期权定价准确性有显著提高.

关 键 词:FHS-GARCH  LSM  FHS-GARCH-LSM  美式期权  期权定价

FHS-GARCH-LSM: A New Method for Pricing American Options
LIU Qiang,XIANG Yun.FHS-GARCH-LSM: A New Method for Pricing American Options[J].Journal of Fudan University(Natural Science),2012,51(4):480-485.
Authors:LIU Qiang  XIANG Yun
Institution:(School of Finance,Southwestern University of Finance and Economics,Chengdu 611130,China)
Abstract:For pricing American options,a new method is suggested by combining filtered historical simulation-generalized autoregressive conditional heteroscedasticity(FHS-GARCH) with the least-squares Monte Carlo(LSM) algorithm.For a data set of 10478 daily prices of the American-style puts on the S&P 100 Index from August to December 2008,FHS-GARCH-LSM turns out to be more accurate in pricing American puts than the classical Black-Scholes model.
Keywords:FHS-GARCH  LSM  FHS-GARCH-LSM  American options  options pricing
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