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Investor sentiment and stock market anomalies in Australia

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  • Zhang, Xinyue
  • Bissoondoyal-Bheenick, Emawtee
  • Zhong, Angel

Abstract

By constructing the first Australian investor sentiment index, this study explores the role of sentiment in explaining stock market anomalies. The Australian investor sentiment index is in line with the fluctuation of global economic trends and is highly correlated with the US sentiment index. We also explore the explanatory power of investor sentiment over Australian stock market anomalies. Our findings underscore the importance of investor sentiment in Australia, whereby anomaly returns are stronger following high sentiment periods. The short legs of each strategy account for a larger proportion of anomaly returns when investor sentiment increases. Further, sentiment does not significantly influence returns on the long legs of anomalies.

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  • Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.
  • Handle: RePEc:eee:reveco:v:86:y:2023:i:c:p:284-303
    DOI: 10.1016/j.iref.2023.03.024
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    as
    1. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2014. "The long of it: Odds that investor sentiment spuriously predicts anomaly returns," Journal of Financial Economics, Elsevier, vol. 114(3), pages 613-619.
    2. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    3. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
    4. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    5. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    6. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    7. Malcolm Baker & Jeffrey Wurgler, 2000. "The Equity Share in New Issues and Aggregate Stock Returns," Journal of Finance, American Finance Association, vol. 55(5), pages 2219-2257, October.
    8. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    9. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    10. Hirshleifer, David & Kewei Hou & Teoh, Siew Hong & Yinglei Zhang, 2004. "Do investors overvalue firms with bloated balance sheets?," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 297-331, December.
    11. Shen, Junyan & Yu, Jianfeng & Zhao, Shen, 2017. "Investor sentiment and economic forces," Journal of Monetary Economics, Elsevier, vol. 86(C), pages 1-21.
    12. Frederico Belo & Xiaoji Lin, 2012. "The Inventory Growth Spread," The Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 278-313.
    13. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    14. Minh Phuong Doan & Vitali Alexeev & Robert Brooks, 2016. "Concurrent momentum and contrarian strategies in the Australian stock market," Australian Journal of Management, Australian School of Business, vol. 41(1), pages 77-106, February.
    15. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    16. Paul Y Dou & David R Gallagher & David H Schneider, 2013. "Dissecting anomalies in the Australian stock market," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 353-373, August.
    17. Philip Gray & Angel Zhong, 2022. "Assessing the usefulness of daily and monthly asset‐pricing factors for Australian equities," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 181-211, March.
    18. Gray, Philip & Liao, Iris Siyu & Strydom, Maria, 2018. "The profitability of trading NOA and accruals: One effect or two?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 211-224.
    19. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    20. Zhong, Angel & Limkriangkrai, Manapon & Gray, Philip, 2014. "Anomalies, risk adjustment and seasonality: Australian evidence," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 207-218.
    21. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    22. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    23. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    24. Ritter, Jay R, 1991. "The Long-run Performance of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 46(1), pages 3-27, March.
    25. Shane A. Corwin & Marc L. Lipson, 2000. "Order Flow and Liquidity around NYSE Trading Halts," Journal of Finance, American Finance Association, vol. 55(4), pages 1771-1801, August.
    26. Gray, Philip & Johnson, Jessica, 2011. "The relationship between asset growth and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 670-680, March.
    27. Bayley, Luke & Lee, Philip J. & Walter, Terry S., 2006. "IPO flipping in Australia: cross-sectional explanations," Pacific-Basin Finance Journal, Elsevier, vol. 14(4), pages 327-348, September.
    28. Hudson, Yawen & Green, Christopher J., 2015. "Is investor sentiment contagious? International sentiment and UK equity returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 5(C), pages 46-59.
    29. Brendan Elliot & Paul Docherty & Stephen Easton & Doowon Lee, 2018. "Profitability and investment†based factor pricing models," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(2), pages 397-421, June.
    30. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    31. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    32. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    33. Stan Hurn & Vlad Pavlov, 2003. "Momentum in Australian Stock Returns," Australian Journal of Management, Australian School of Business, vol. 28(2), pages 141-155, September.
    34. 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.
    35. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    36. Weimin Liu & Norman Strong, 2008. "Biases in Decomposing Holding-Period Portfolio Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2243-2274, September.
    37. Minh Phuong Doan & Chien-Ting Lin & Michael Chng & David Gallagher, 2014. "Higher moments and beta asymmetry: evidence from Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 779-807, September.
    38. Zhong, Angel & Gray, Philip, 2016. "The MAX effect: An exploration of risk and mispricing explanations," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 76-90.
    39. Chiah, Mardy & Zhong, Angel, 2020. "Trading from home: The impact of COVID-19 on trading volume around the world," Finance Research Letters, Elsevier, vol. 37(C).
    40. Chiah, Mardy & Zhong, Angel, 2021. "Tuesday Blues and the day-of-the-week effect in stock returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    41. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    42. Cao, Viet Nga & Gray, Philip & Zhong, Angel, 2019. "Investment-related anomalies in Australia: Evidence and explanations," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 97-109.
    43. Shane A. Corwin & Marc L. Lipson, 2000. "Order Flow and Liquidity around NYSE Trading Halts," Journal of Finance, American Finance Association, vol. 55(4), pages 1771-1805, August.
    44. Chiah, Mardy & Hu, Xiaolu & Zhong, Angel, 2022. "Photo sentiment and stock returns around the world," Finance Research Letters, Elsevier, vol. 46(PB).
    45. Chai, Daniel & Chiah, Mardy & Zhong, Angel, 2019. "Choosing factors: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    46. William G. Christie & Shane A. Corwin & Jeffrey H. Harris, 2002. "Nasdaq Trading Halts: The Impact of Market Mechanisms on Prices, Trading Activity, and Execution Costs," Journal of Finance, American Finance Association, vol. 57(3), pages 1443-1478, June.
    47. Demir, Isabelle & Muthuswamy, Jay & Walter, Terry, 2004. "Momentum returns in Australian equities: The influences of size, risk, liquidity and return computation," Pacific-Basin Finance Journal, Elsevier, vol. 12(2), pages 143-158, April.
    48. Zhong, Angel & Chai, Daniel & Li, Bob & Chiah, Mardy, 2018. "Volume shocks and stock returns: An alternative test," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 1-16.
    49. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    50. Ebenezer Asem & Jessica Chung & Xin Cui & Gloria Y Tian, 2016. "Liquidity, investor sentiment and price discount of SEOs in Australia," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 12(1), pages 25-51, February.
    51. Frino, Alex & Lecce, Steven & Segara, Reuben, 2011. "The impact of trading halts on liquidity and price volatility: Evidence from the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(3), pages 298-307, June.
    52. Ren, Siewan & Wright, Anna & Wyatt, Anne, 2012. "Stock option use by Australian IPOs," Journal of Contemporary Accounting and Economics, Elsevier, vol. 8(1), pages 1-22.
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    1. Sarantis Tsiaplias & Qi Zeng & Guay C. Lim, 2023. "Retail Investor Trading Intentions: New Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 99(327), pages 512-535, December.

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