Taiwan index option;
neural networks;
Black-Scholes model;
volatility;
D O I:
10.1080/09720510.2005.10701164
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
This study forecasts the option prices of Taiwan stock index options using backpropagation neural networks and Black-Scholes pricing model. The research data comprises the daily prices of sample options for the period from 2 January 2002 to 31 December 2003. The empirical evidence reveals that in a volatile market a neural network option pricing model outperforms the traditional Black-Scholes model.