Happiness sentiments and the prediction of cross-border country exchange-traded fund returns

Chien-Chiang Lee () and Mei-Ping Chen ()

The North American Journal of Economics and Finance, 2020, vol. 54, issue C

Abstract: This research examines whether social media (Twitter) happiness sentiment and country-level happiness sentiment indices predict cross-border ETF returns. To account for complicated associations between happiness sentiment and ETF returns, we use a quantile regression approach and find that Twitter and trading market (U.S.) happiness sentiments are strong predictors of future ETF returns, for which both have far greater predictive power than those of their home countries. Home country happiness indices exhibit asymmetric impacts across quantiles, suggesting the importance of trading country (U.S.) and Twitter happiness sentiments. Higher U.S. and home countries’ freedom to make life choices, absence of corruption perception, and confidence in national government precede higher ETF returns, while U.S. GDP, social support, health life expectancy, positive affect, and negative affect precede lower (abnormal) returns. We find that higher return quantile country ETFs provide a safe haven for U.S. investors during a U.S. bear market.

Keywords: Happiness sentiment; Twitter happiness; Exchange-traded funds (ETFs); Country happiness; Quantile regression (search for similar items in EconPapers)
JEL-codes: C21 G15 G40 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940820301510

DOI: 10.1016/j.najef.2020.101254

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