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One hundred years of rare disaster concerns and commodity prices

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  • Qunzi Zhang

Abstract

This paper shows that rare disaster concern, defined as the news‐implied volatility, performs very well at predicting the return of index commodity futures throughout the whole century (1926–2016). This result holds after controlling for the current business cycle conditions, the macroeconomic variables, and the Volatility Index (VIX). We also find that rare disaster concern performs very well at predicting index commodity futures returns out‐of‐sample. The results remain robust while considering different macroeconomic conditions, such as recession (expansion), contango (backwardation), or inflation up (down).

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  • Qunzi Zhang, 2021. "One hundred years of rare disaster concerns and commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1891-1915, December.
  • Handle: RePEc:wly:jfutmk:v:41:y:2021:i:12:p:1891-1915
    DOI: 10.1002/fut.22256
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    Cited by:

    1. Qi Xu & Yang Ye, 2023. "Commodity network and predictable returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1423-1449, October.
    2. Hua, Renhai & Liu, Qingfu & Tse, Yiuman & Yu, Qin, 2023. "The impact of natural disaster risk on the return of agricultural futures," Journal of Asian Economics, Elsevier, vol. 87(C).
    3. Liyan Han & Xinbei Wei & Sen Yan & Qunzi Zhang, 2022. "Analyst rating matters for index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2084-2100, November.

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