We investigate stock tail risk around national elections worldwide over the period of 1982–2012. We find that firm stock is less likely to crash during the election years, and is more likely to crash during the post-election period. This inter-temporal pattern is consistent with the suppression of negative information when there is heightened political uncertainty around elections and with the subsequent release of adverse news when the uncertainty is reduced. Further analysis shows that the impact of political uncertainty on tail risk is stronger in countries with poorer investor protection, fewer electoral checks and balances, more uncertain election outcomes and pro-business incumbent governments, in industries which are more politically sensitive, and in firms with larger information asymmetry.

We examine whether international equity mutual fund managers shift their portfolios toward stocks with higher financial reporting quality (FRQ) during periods of high political uncertainty. Our study is motivated by two primary factors. First, prior research shows evidence of fund managers’ “flight to quality” (e.g., to less risky securities) during periods of uncertainty. Second, recent theoretical research concludes that stocks with higher FRQ are assessed as less sensitive to systematic risk (such as political uncertainty). We employ national elections as exogenous increases in systematic risk in the local markets and accordingly use an international sample of mutual funds that focus on local markets. We find that mutual fund managers shift their equity holdings to stocks with higher FRQ during election periods when political uncertainty is higher. Such a flight‐to‐quality effect is less pronounced for elections with larger expected electoral margins in the pre‐election period (i.e., when the incumbent is more likely to win the election) and for countries with higher transactions costs. In contrast, the effect is more pronounced when governments have greater involvement in the local economy. Our inferences are robust to alternative proxies for political uncertainty and FRQ and to numerous other sensitivity analyses.