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Climate impact on the USDA ending stocks forecast errors

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Listed:
  • Li, Ziran
  • Li, Ding
  • Zhang, Tengfei
  • Zhang, Tianyang

Abstract

Analysts and investors that make financial forecasts are prone to climate-induced biases. Would public institutions reporting market-moving forecasts also be influenced by climate? This article analyzes the role of climate in explaining the USDA ending stocks forecast errors. We show that during the period from 1980/81 to 2018/19, the USDA forecasts of corn ending stocks did not take precipitation during the summer growing season fully into account. Increasing precipitation is likely to lead the USDA to underestimate the ending stocks level. The proposed model increases the USDA ending stock forecasts by 12.4%, and the results are robust in different subsamples.

Suggested Citation

  • Li, Ziran & Li, Ding & Zhang, Tengfei & Zhang, Tianyang, 2022. "Climate impact on the USDA ending stocks forecast errors," Finance Research Letters, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001799
    DOI: 10.1016/j.frl.2022.102930
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    References listed on IDEAS

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