Idiosyncratic volatility, investor sentiment, and returns of the GCC stock markets
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DOIhttp://dx.doi.org/10.21511/imfi.18(4).2021.17
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Article InfoVolume 18 2021, Issue #4, pp. 190-202
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Standard finance theory suggests that idiosyncratic volatility should not influence stock returns. In reality, if investors are unable to achieve efficient diversification, such risk may affect stock returns. The purpose of the study is to examine the presence of idiosyncratic volatility and sentiment in the stock markets of the GCC (Gulf Cooperation Council) countries.
Monthly idiosyncratic volatility is estimated using the Fama-French three-factor model. A unified sentiment proxy for each market is created by employing Principal Component Analysis (PCA). Then, Ordinary Least Squares (OLS) regressions are applied. F-statistics, t-statistics, and adjusted R2s are used to test the presence of idiosyncratic volatility and sentiment in the GCC markets.
Findings show that the effect of sentiment on stock returns is observed across all the GCC markets. Investor sentiment can weakly explain the effect of idiosyncratic volatility on stock returns. In general, investors do not price expected idiosyncratic volatility, and only the unexpected part of it affects stock returns.
Overall, the first implication for investors is that they must consider market sentiment to predict the cross-section of stock prices and should not completely ignore the influence of idiosyncratic volatility on stocks. Secondly, the implication for policymakers is that they should motivate companies to go public so that investors have more options to diversify their portfolios across different sectors.
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JEL Classification (Paper profile tab)G11, G15, G40
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References34
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Tables5
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Figures0
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- Table 1. Impact of idiosyncratic volatility and sentiment on individual market returns
- Table 2. Impact of idiosyncratic volatility on size-portfolio returns
- Table 3. Impact of expected and unexpected idiosyncratic volatility on size-portfolio returns
- Table 4. Impact of idiosyncratic volatility and sentiment on size-portfolio returns
- Table 5. Impact of expected and unexpected idiosyncratic volatility and sentiment on size-portfolio returns
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- Ali, S. M. (2016). The value premium and idiosyncratic risk: case of GCC (Master’s dissertation). Kuala Lumpur: INCEIF.
- Ang, A., Hodrick, R, J., Xing, Y., & Zhang, X. (2006). The cross-section of volatility and expected returns. Journal of Finance, 51, 259-299.
- Ang, A., Hodrick, R, J., Xing, Y., & Zhang, X. (2009). High idiosyncratic volatility and low returns: International and further U.S. evidence. Journal of Financial Economics, 91, 1-23.
- Angelides, T. (2010). Idiosyncratic risk in emerging markets. Financial Review, 45, 1053-1078.
- Aziz, T., & Ansari, V. A. (2017). Idiosyncratic volatility and stock returns: Indian evidence. Cogent Economics and Finance, 5, 1-20.
- Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21, 129-152.
- Bali, T. G., & Cakici, N. (2008). Idiosyncratic volatility and the cross-section of expected returns. Journal of Financial and Quantitative Analysis, 43, 29-58.
- Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. Journal of Finance, 55, 773-806.
- Benartzi, S., & Thaler, R. H. (2001). Naive diversification strategies in retirement saving plans. American Economic Review, 91, 79-98.
- Bley, J., & Saad, M. (2012). Idiosyncratic risk and expected returns in frontier markets: Evidence from GCC. Journal of International Financial Markets, Institutions & Money, 22, 538-554.
- Boyer, M., Mitton, T., & Vorkink, K. (2010). Expected idiosyncratic skewness. Review of Financial Studies, 23, 169-202.
- Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. Journal of Finance, 16, 1-43.
- Chen, Z., & Petkova, R. (2012). Does idiosyncratic volatility proxy for risk exposure? Review of Financial Studies, 25, 2745-2787.
- Chichernea, D. C., Ferguson, M. F., & Kassa, H. (2015). Idiosyncratic risk, investor base and returns. Financial Management, 44, 267-293.
- Chowdhury, S. S. H. (2020). Spillover of sentiments between the GCC stock markets. Global Business Review.
- Chowdhury, S. S. H., Sharmin, R., & Rahman, M. A. (2021). On the impact of sentiment on stock returns: The case of Dhaka Stock Exchange. Afro-Asian Journal of Finance and Accounting, 11, 392-422.
- Chua, C. T., Goh, J., & Zhang, Z. (2010). Expected volatility, unexpected volatility and the cross-section of expected returns. Journal of Financial Research, 33, 103-123.
- Cotter, J., O’Sullivan, N., & Rossi, F. (2015). The conditional pricing of systematic and idiosyncratic risk in the UK equity market. International Review of Financial Analysis, 37, 184-193.
- Fama, E., & French, K. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3-53.
- Fu, F. (2009). Idiosyncratic risk and the cross-section of expected returns. Journal of Financial Economics, 91, 24-37.
- Gharghori, P., See, Q., & Veeraraghavan, M. (2011). Difference of opinion and the cross-section of equity returns: Australian evidence. Pacific-Basin Finance Journal, 19, 435-446.
- Goetzmann, W. N., & Kumar, A. (2008). Equity portfolio diversification. Review of Finance, 12, 433-463.
- Guo, H., & Savickas, R. (2008). Average idiosyncratic volatility in G7 countries. Review of Financial Studies, 21, 1259-1296.
- Kearney, C., & Poti, V. (2008). Have European stocks become more volatile? An empirical investigation of idiosyncratic and market risk in the Euro Area. European Financial Management, 14, 419-444.
- Kumari, J., Mahakund, J., & Hiremath, G. S. (2017). Determinant of idiosyncratic volatility: Evidence from the Indian stock market. Research in International Business and Finance, 41, 172-184.
- Li, K., Morck, R., Yang, F., & Yeung, B. (2004). Firm-specific variation and openness in emerging markets. Review of Economics and Statistics, 86, 658-669.
- Liu, S., Kong, A., Gu, R., & Guo, W. (2019). Does idiosyncratic volatility matter? – Evidence from Chinese stock market. Physica A: Statistical Mechanics and its Applications, 516, 393-401.
- Nartea, G. V., Ward, B., & Yao, L. (2011). Idiosyncratic volatility and cross-sectional stock returns in Southeast Asian stock markets. Accounting and Finance, 51, 1031-1054.
- Nartea, G. V., Wu, J., & Liu, Z. (2013). Does idiosyncratic volatility matter in emerging markets? Evidence from China. Journal of International Financial Markets, Institutions & Money, 27, 137-160.
- Pastor, Ľ., & Pietro, V. (2003). Stock valuation and learning about profitability. Journal of Finance, 58, 1749-1789.
- Qadan, M., Kliger, D., & Chen, N. (2019). Idiosyncratic volatility, the VIX and stock returns. North American Journal of Economics and Finance, 47, 431-441.
- Sharma, P., & Kumar, B. (2014). Idiosyncratic Volatility and Cross-Section of Stock Returns: Evidences from India. SSRN Electronic Journal.
- Sharmin, R. (2019). Effect of sentiment on stock returns: Evidence from the Gulf Cooperation Council stock markets (unpublished PhD thesis). Universiti Sains Malaysia.
- Zhong, A., & Gray, P. (2016). The MAX effect: An exploration of risk and mispricing explanations. Journal of Banking and Finance, 65, 76-90.
