2,547
Views
1
CrossRef citations to date
0
Altmetric
FINANCIAL ECONOMICS

How fears index and liquidity affect returns of ivol puzzle before and during the Covid-19 pandemic

, , ORCID Icon & ORCID Icon
Article: 2114175 | Received 31 Oct 2021, Accepted 12 Aug 2022, Published online: 07 Sep 2022

References

  • Ali a, S. R. M., Hasan, M. N., & Östermark, R. (2020). Are idiosyncratic risk and extreme positive return priced in the Indian equity market? International Review of Economics & Finance, 70, 530–17. https://doi.org/10.1016/j.iref.2020.08.008
  • Ali B, S. R. M., Rahman, M. A., Hasan, M. N., & Östermark, R. (2020). Positive IVOL-MAX effect: A study on the Singapore Stock Market. The North American Journal of Economics and Finance, 54, 101245. https://doi.org/10.1016/j.najef.2020.101245
  • Amihud, Y., & Mendelson, H. (2008). Liquidity, the Value of the Firm, and Corporate Finance. Journal of Applied Corporate Finance, 20(2), 32–45. https://doi.org/10.1111/j.1745-6622.2008.00179.x
  • Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2009). High idiosyncratic volatility and low returns: International and further US evidence. Journal of Financial Economics, 91(1), 1–23. https://doi.org/10.1016/j.jfineco.2007.12.005
  • Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645–1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x
  • Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129–152. https://doi.org/10.1257/jep.21.2.129
  • Bali, T. G., Cakici, N., & Whitelaw, R. F. (2011). Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99(2), 427–446. https://doi.org/10.1016/j.jfineco.2010.08.014
  • Bergbrant, M., & Kassa, H. (2021). Is idiosyncratic volatility related to returns? Evidence from a subset of firms with quality idiosyncratic volatility estimates. Journal of Banking & Finance, 127(6), 106126. https://doi.org/10.1016/j.jbankfin.2021.106126
  • Berggrun, L., Lizarzaburu, E., & Cardona, E. (2016). Idiosyncratic volatility and stock returns: Evidence from the MILA. Research in International Business and Finance, 37, 422–434. https://doi.org/10.1016/j.ribaf.2016.01.011
  • Bettis, R. A., & Mahajan, V. (1985). Risk/return performance of diversified firms. Management Science, 31(7), 785–799. https://doi.org/10.1287/mnsc.31.7.785
  • Bhushan, R. (1994). An informational efficiency perspective on the post-earnings announcement drift. Journal of Accounting and Economics, 18(1), 45–65. https://doi.org/10.1016/0165-4101(94)90018-3
  • Cakici, N., & Zaremba, A. (2021). Liquidity and the cross-section of international stock returns. Journal of Banking & Finance, 127, 106123. https://doi.org/10.1016/j.jbankfin.2021.106123
  • Chang, Y. Y., Faff, R., & Hwang, C.-Y. (2010). Liquidity and stock returns in Japan: New evidence. Pacific-Basin Finance Journal, 18(1), 90–115. https://doi.org/10.1016/j.pacfin.2009.09.001
  • Chang, C. P., Feng, G. F., & Zheng, M. (2021). Government fighting pandemic, stock market return, and COVID-19 virus outbreak. Emerging Markets Finance and Trade, 57(8), 2389–2406. https://doi.org/10.1080/1540496x.2021.1873129
  • Chung, K. H., & Chuwonganant, C. (2018). Market volatility and stock returns: The role of liquidity providers. Journal of Financial Markets, 37, 17–34. https://doi.org/10.1016/j.finmar.2017.07.002
  • Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS investor sentiment and asset prices. The Review of Financial Studies, 28(1), 1–32. https://doi.org/10.1093/rfs/hhu072
  • Darby, J., Zhang, H., & Zhang, J. (2021). Institutional trading in volatile markets: Evidence from Chinese stock markets. Pacific-Basin Finance Journal, 65, 101484. https://doi.org/10.1016/j.pacfin.2020.101484
  • Duong, K. D., Nguyen, Q. N., Le, T. V., & NGUYEN, D. V. (2021). Limit-to-arbitrage factors and ivol returns puzzle: Empirical evidence from Taiwan before and during COVID-19. Annals of Financial Economics, 16(1), 1–18. https://doi.org/10.1142/S2010495221500044
  • FAMA, E. F., & FRENCH, K. R. (1992). The cross-section of expected stock returns. The Journal of Finance, 47(2), 427–465. https://doi.org/10.1111/j.1540-6261.1992.tb04398.x
  • Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56. https://doi.org/10.1016/0304-405x(93)90023-5
  • Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. The Journal of Political Economy, 81(3), 607–636. https://doi.org/10.1086/260061
  • Gu, M., Kang, W., & Xu, B. (2018). Limits of arbitrage and idiosyncratic volatility: Evidence from China stock market. Journal of Banking & Finance, 86(1), 240–258. https://doi.org/10.1016/j.jbankfin.2015.08.016
  • Guidolin, M., & Ricci, A. (2020). Arbitrage risk and a sentiment as causes of persistent mispricing: The European evidence. The Quarterly Review of Economics and Finance, 76, 1–11. https://doi.org/10.1016/j.qref.2019.05.006
  • Hung, W., & Yang, J. J. (2018). The MAX effect: Lottery stocks with price limits and limits to arbitrage. Journal of Financial Markets, 41, 77–91. https://doi.org/10.1016/j.finmar.2018.07.003
  • Jegadeesh, N., & Livnat, J. (2006). Revenue surprises and stock returns. Journal of Accounting and Economics, 41(1–2), 147–171. https://doi.org/10.1016/j.jacceco.2005.10.003
  • Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
  • Kostopoulos, D., Meyer, S., & Uhr, C. (2020). Google search volume and individual investor trading. Journal of Financial Markets, 49, 100544. https://doi.org/10.1016/j.finmar.2020.100544
  • Liu, S. (2015). Investor sentiment and stock market liquidity. Journal of Behavioral Finance, 16(1), 51–67. https://doi.org/10.1080/15427560.2015.1000334
  • Malagon, J., Moreno, D., & Rodríguez, R. (2018). Idiosyncratic volatility, conditional liquidity and stock returns. International Review of Economics & Finance, 53, 118–132. https://doi.org/10.1016/j.iref.2017.10.011
  • Mohrschladt, H., & Schneider, J. C. (2021). Idiosyncratic volatility, option-based measures of informed trading, and investor attention. Review of Derivatives Research, 24(3), 197–220. https://doi.org/10.1007/s11147-021-09175-7
  • Naufa, A. M., Lantara, I., & Lau, W.-Y. (2019). The impact of foreign ownership on return volatility, volume, and stock risks: Evidence from ASEAN countries. Economic Analysis and Policy, 64, 221–235. https://doi.org/10.1016/j.eap.2019.09.002
  • Nguyen, D., & Pham, M. (2018). Search-based sentiment and stock market reactions: An empirical evidence in Vietnam. The Journal of Asian Finance, Economics and Business, 5(4), 45–56. https://doi.org/10.13106/jafeb.2018.vol5.no4.45
  • Qadan, M., Kliger, D., & Chen, N. (2019). Idiosyncratic volatility, the VIX and stock returns. The North American Journal of Economics and Finance, 47, 431–441. https://doi.org/10.1016/j.najef.2018.06.003
  • Sun, Y., Wu, M., Zeng, X., & Peng, Z. (2021). The impact of COVID-19 on the Chinese stock market: Sentimental or substantial? Finance Research Letters, 38, 101838. https://doi.org/10.1016/j.frl.2020.101838
  • Swamy, V., & Dharani, M. (2019). Investor attention using the google search volume index–impact on stock returns. Review of Behavioral Finance, 11(1), 55–69. https://doi.org/10.1016/j.ribaf.2019.04.010
  • Tan, S. D., & Tas, O. (2019). Investor attention and stock returns: Evidence from Borsa Istanbul. Borsa Istanbul Review, 19(2), 106–116. https://doi.org/10.1016/j.bir.2018.10.003
  • Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139–1168. https://doi.org/10.1111/j.1540-6261.2007.01232.x
  • Tran, L. T. H., Hoang, T. T. P., & Tran, H. X. (2018). Stock liquidity and ownership structure during and after the 2008 global financial crisis: Empirical evidence from an emerging market. Emerging Markets Review, 37, 114–133. https://doi.org/10.1016/j.ememar.2018.07.001
  • Vo, X. V., & Bui, H. T. (2016). Liquidity, liquidity risk and stock returns: Evidence from Vietnam. International Journal of Monetary Economics and Finance, 9(1), 67–89. https://doi.org/10.1504/ijmef.2016.074586
  • Vo, X. V., Vo, V. P., Nguyen, T. P., & McMillan, D. (2020). Abnormal returns and idiosyncratic volatility puzzle: An empirical investigation in Vietnam stock market. Cogent Economics & Finance, 8(1), 1735196. https://doi.org/10.1080/23322039.2020.1735196
  • Walkshäusl, C. (2019). The fundamentals of momentum investing: European evidence on understanding momentum through fundamentals. Accounting & Finance, 59(S1), 831–857. https://doi.org/10.1111/acfi.12462
  • Wan, X. (2018). Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market. International Review of Economics & Finance, 53, 1–15. https://doi.org/10.1016/j.iref.2017.10.015
  • Wen, F., Zou, Q., & Wang, X. (2021). The contrarian strategy of institutional investors in Chinese stock market. Finance Research Letters, 41, 101845. https://doi.org/10.1016/j.frl.2020.101845