This paper investigates the role of political crises in explaining the degree of stock market integration in emerging markets over the period 1991–2006. Using the International Crisis Behavior database, which contains detailed information on political crises around the world, and employing data on more than 15,500 firms, we assess whether political crises affect stock market integration in 19 emerging markets in South and East Asia, Latin America, and Central and Eastern Europe. We conclude that crises with certain characteristics generally reduce the level of stock market integration in these regions. In particular, the beginning of a political crisis, its severity, the involvement of the US in the conflict, and the number of parties involved in a crisis all have impacts on the level of stock market integration in these markets.

We examine the impact of monetary policy announcements by the Federal Open Market Committee (FOMC) on long-term US and German bond futures. Using transaction-level data during the post-financial crisis period, we observe a sizable post-announcement drift in government bond markets. A trading strategy of investing in the market after expansionary shocks and shorting the market following contractionary surprises yields up to four times the Sharpe ratio of buy-and-hold investment. The post-FOMC announcement drift coincides with more informative order flows in the post-announcement period, and it persists for 15 days. Moreover, our study shows an absence of pre-FOMC announcement drift. Our findings shed some light on how the bond markets react to public news arrival.

This paper introduces a real-time, continuous measure of national sentiment that is language-free and thus comparable globally: the positivity of songs that individuals choose to listen to. This is a direct measure of mood that does not pre-specify certain mood-affecting events nor assume the extent of their impact on investors. We validate our music-based sentiment measure by correlating it with mood swings induced by seasonal factors, weather conditions, and COVID-related restrictions. We find that music sentiment is positively correlated with same-week equity market returns and negatively correlated with next-week returns, consistent with sentiment-induced temporary mispricing. Results also hold under a daily analysis and are stronger when trading restrictions limit arbitrage. Music sentiment also predicts increases in net mutual fund flows, and absolute sentiment precedes a rise in stock market volatility. It is negatively associated with government bond returns, consistent with a flight to safety.

We examine the profitability of a cross-asset time-series momentum strategy (XTSMOM) constructed using past changes in crude oil–implied volatility (OVX) and stock market returns as joint predictors. We show that employing the past changes in OVX in addition to past stock returns helps better predict future stock market returns globally. The XTSMOM outperforms the single-asset time-series momentum (TSMOM) and buy & hold strategies with higher mean returns, lower standard deviations, and higher Sharpe ratios. The XTSMOM can also forecast economic cycles. We contribute to the literature on cross-asset momentum spillovers as well as on the impacts of crude oil uncertainty on stock markets.