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Overnight returns of industry exchange‐traded funds, investor sentiment, and futures market returns

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  • Yun‐Huan Lee
  • Tzu‐Hsiang Liao
  • Hsiu‐Chuan Lee

Abstract

This study investigates whether investor sentiment estimated by overnight returns of industry exchange‐traded funds (ETFs) affects Volatility Index (VIX) futures and stock index futures returns. Our empirical results indicate that high overnight returns of industry ETFs are associated with sentiment‐based trading. The results also show that investor sentiment, as measured by the relative comovements of overnight returns of industry ETFs, Granger‐causes VIX futures and stock index futures returns, but not vice versa. Finally, investor sentiment, as measured by the relative comovements, displays statistically and economically significant out‐of‐sample predictive power for VIX futures and stock index futures returns.

Suggested Citation

  • Yun‐Huan Lee & Tzu‐Hsiang Liao & Hsiu‐Chuan Lee, 2022. "Overnight returns of industry exchange‐traded funds, investor sentiment, and futures market returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1114-1134, June.
  • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:6:p:1114-1134
    DOI: 10.1002/fut.22321
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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Gleason, Kimberly C. & Mathur, Ike & Peterson, Mark A., 2004. "Analysis of intraday herding behavior among the sector ETFs," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 681-694, December.
    3. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    4. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    5. Lou, Dong & Polk, Christopher & Skouras, Spyros, 2019. "A tug of war: Overnight versus intraday expected returns," Journal of Financial Economics, Elsevier, vol. 134(1), pages 192-213.
    6. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    7. Shefrin, Hersh, 2008. "A Behavioral Approach to Asset Pricing," Elsevier Monographs, Elsevier, edition 2, number 9780123743565.
    8. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    9. Berkman, Henk & Koch, Paul D. & Tuttle, Laura & Zhang, Ying Jenny, 2012. "Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 715-741, August.
    10. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    11. Lachance, Marie-Eve, 2021. "ETFs’ high overnight returns: The early liquidity provider gets the worm," Journal of Financial Markets, Elsevier, vol. 52(C).
    12. Broman, Markus S., 2016. "Liquidity, style investing and excess comovement of exchange-traded fund returns," Journal of Financial Markets, Elsevier, vol. 30(C), pages 27-53.
    13. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    14. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    15. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    16. Naresh Bansal & Robert A. Connolly & Chris Stivers, 2010. "Regime‐switching in stock index and Treasury futures returns and measures of stock market stress," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(8), pages 753-779, August.
    17. Wei‐han Liu, 2020. "Are Gold and Government Bond Safe‐Haven Assets? An Extremal Quantile Regression Analysis," International Review of Finance, International Review of Finance Ltd., vol. 20(2), pages 451-483, June.
    18. Jame, Russell & Tong, Qing, 2014. "Industry-based style investing," Journal of Financial Markets, Elsevier, vol. 19(C), pages 110-130.
    19. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    20. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    21. Nicolae Gârleanu & Stavros Panageas, 2015. "Young, Old, Conservative, and Bold: The Implications of Heterogeneity and Finite Lives for Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 123(3), pages 670-685.
    22. Karolyi, G. Andrew & Lee, Kuan-Hui & van Dijk, Mathijs A., 2012. "Understanding commonality in liquidity around the world," Journal of Financial Economics, Elsevier, vol. 105(1), pages 82-112.
    23. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    24. Bart Frijns & Alireza Tourani‐Rad & Robert I. Webb, 2016. "On the Intraday Relation Between the VIX and its Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 870-886, September.
    25. Tse, Yiuman, 2015. "Do industries lead stock markets? A reexamination," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 195-203.
    26. Taylor, Nick, 2019. "Forecasting returns in the VIX futures market," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1193-1210.
    27. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Palladini, Fabio, 2019. "Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1250-1262.
    28. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    29. Wahal, Sunil & Yavuz, M. Deniz, 2013. "Style investing, comovement and return predictability," Journal of Financial Economics, Elsevier, vol. 107(1), pages 136-154.
    30. Lin, Qi, 2018. "Technical analysis and stock return predictability: An aligned approach," Journal of Financial Markets, Elsevier, vol. 38(C), pages 103-123.
    31. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    32. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
    33. Guo, Jiaqi & Li, Youwei & Zheng, Min, 2019. "Bottom-up sentiment and return predictability of the market portfolio," Finance Research Letters, Elsevier, vol. 29(C), pages 57-60.
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    Cited by:

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    3. Elroi Hadad & Davinder Malhotra & Srinivas Nippani, 2024. "Trading commodity ETFs: Price behavior, investment insights, and performance analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1257-1276, July.

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