G2TT
来源类型Discussion paper
规范类型论文
来源IDDP3024
DP3024 Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?
Mark Taylor; Lutz Kilian
发表日期2001-10-23
出版年2001
语种英语
摘要This Paper shows that many of the empirical biases of the Black and Scholes option pricing model can be explained by Bayesian learning effects. In the context of an equilibrium model where dividend news evolves on a binomial lattice with unknown but recursively updated probabilities, we derive closed-form pricing formulas for European options. Learning is found to generate asymmetric skews in the implied volatility surface and systematic patterns in the term structure of option prices. Data on S&P 500 index option prices is used to back out the parameters of the underlying learning process and to predict the evolution in the cross-section of option prices. The proposed model leads to lower out-of-sample forecast errors and smaller hedging errors than a variety of alternative option pricing models, including Black-Scholes and a GARCH model.
主题Financial Economics
关键词Option prices Black-scholes option pricing model Bayesian learning
URLhttps://cepr.org/publications/dp3024
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/532048
推荐引用方式
GB/T 7714
Mark Taylor,Lutz Kilian. DP3024 Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?. 2001.
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