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来源类型Working Paper
规范类型报告
DOI10.3386/w9056
来源IDWorking Paper 9056
On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach
Michael W. Brandt; Qiang Kang
发表日期2002-07-11
出版年2002
语种英语
摘要We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a strong and robust negative correlation between the innovations to the conditional moments that leads to pronounced counter-cyclical variation in the Sharpe ratio. We document significant lead-lag correlations between the conditional moments that also appear related to business cycles. Finally, we show that although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due to the lead-lag correlations.
主题Financial Economics ; Financial Markets ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w9056
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/566665
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Michael W. Brandt,Qiang Kang. On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach. 2002.
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