Can Weather Conditions in New York Predict South African Stock Returns?

Nicholas Apergis () and Rangan Gupta

No 201634, Working Papers from University of Pretoria, Department of Economics

Abstract: This paper investigates the explanatory power of certain weather variables, measured as deviations from their monthly averages, in a leading international financial trading centre, i.e., New York, for South African stock returns, over the daily period January 2nd, 1973 to December, 31, 2015. The empirical results highlight that these unusual deviations of weather variables have a statistically significant negative effect on the stock returns in South Africa, indicating that unusual weather conditions in New York can be used to predict South African stock returns, which otherwise seems to be highly unpredictable.

Keywords: Unusual weather conditions; New York weather; South African stock market (search for similar items in EconPapers)
JEL-codes: C22 G10 G15 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2016-04
New Economics Papers: this item is included in nep-cfn
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Persistent link: https://EconPapers.repec.org/RePEc:pre:wpaper:201634

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