摘要
Stock variance, which is the sum of squared daily returns on the S&P 500, implies the level of investor fear in stock market and performs well at predicting the return of index commodity futures. This prediction still holds after controlling for the sample period and macroeconomic variables. Also, the fear index performs very well at predicting index commodity futures returns out-of-sample, and the asset allocation exercise based on predictive regressions also shows that stock variance generates economic performance. The results remain robust while considering different macroeconomic conditions, such as recession (expansion), contango (backwardation), or inflation up (down).
| 源语言 | 英语 |
|---|---|
| 文章编号 | 102502 |
| 期刊 | Finance Research Letters |
| 卷 | 46 |
| DOI | |
| 出版状态 | 已出版 - 5月 2022 |
指纹
探究 'Fear in commodity return prediction' 的科研主题。它们共同构成独一无二的指纹。引用此
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