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We aim to advance our understanding of the adverse effects of extreme temperatures by examining the extent to which high temperatures affect stock market activity. We address this question by analyzing the trading volumes on the French stock market on days when the weather in Paris is excessively hot over the period 1995-2019. Our empirical analyses show that, on average, trading volumes fall significantly (between 4 percent and 10 percent) when maximum daily temperatures exceed 30°C (86°F). The observed negative association is remarkably robust to a battery of alternative analyses such as bin tests, event studies, and time-series regressions controlling for any seasonal effects and financial market conditions. From a theoretical perspective, this study contributes to the literature on behavioral finance by demonstrating the existence of a "hot weather" effect on financial markets. It also offers important managerial and public policy implications.
trading volume, [QFIN.GN] Quantitative Finance [q-fin]/General Finance [q-fin.GN], [QFIN.CP] Quantitative Finance [q-fin]/Computational Finance [q-fin.CP], high temperatures, global warming, [QFIN.PM] Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], behavioral finance, market activity, [QFIN.ST] Quantitative Finance [q-fin]/Statistical Finance [q-fin.ST], [SDE.ES] Environmental Sciences/Environment and Society, [SHS.ECO] Humanities and Social Sciences/Economics and Finance
trading volume, [QFIN.GN] Quantitative Finance [q-fin]/General Finance [q-fin.GN], [QFIN.CP] Quantitative Finance [q-fin]/Computational Finance [q-fin.CP], high temperatures, global warming, [QFIN.PM] Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], behavioral finance, market activity, [QFIN.ST] Quantitative Finance [q-fin]/Statistical Finance [q-fin.ST], [SDE.ES] Environmental Sciences/Environment and Society, [SHS.ECO] Humanities and Social Sciences/Economics and Finance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |