增长不确定性、理性学习与期权价格

M. Babiak, R. Kozhan
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引用次数: 0

摘要

我们证明,将参数学习纳入生产经济可以捕获方差溢价和指数期权价格的显著属性,这些属性具有经验一致的股票回报,无风险利率和宏观经济数量。在一个对二战后美国数据进行估计的模型中,投资者了解了控制生产率增长的持久性、平均值和波动性的真实参数。理性信念的更新放大了冲击对价格和条件时刻的影响。而代理人则为方差掉期和期权支付高额溢价,因为它们可以对冲他对未来修正的担忧,尤其是对生产率增长的均值和波动性的担忧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Growth Uncertainty, Rational Learning, and Option Prices
We demonstrate that incorporating parameter learning into a production economy can capture salient properties of the variance premium and index option prices with empirically consistent equity returns, the risk-free rate, and macroeconomic quantities. In a model estimated on post-WWII U.S. data, the investor learns about the true parameters governing the persistence, mean, and volatility of productivity growth. Rational belief updating amplifies the impact of shocks on prices and conditional moments. The agent, in turn, pays a large premium for variance swaps and options because they hedge his concerns about future revisions, particularly concerning the mean and volatility of productivity growth.
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