INFORMATION EFFICIENCY IN THE U.S. AND SHARIAH-COMPLIANT STOCKS IN MALAYSIA DURING COVID-19

  • Ooi Kok Loang SEGi University, Malaysia

Abstract

This study examines the impact of analysts’ forecast of market liquidity and information efficiency in the U.S (developed) and Malaysia (emerging – Shariah-compliant stocks) before and during COVID-19.  The results show that the analysts’ forecast is significant to the market liquidity in the pre-COVID period but its influence diminishes during the COVID-19. Moreover, the impact of the analysts’ forecast is significant in the upper quantiles (0.7 and 0.9 quantiles) of the U.S market and in the lower quantiles (0.1 and 0.3 quantiles) of Malaysia's Islamic market. Similarly, the buy-sell recommendations in the U.S market and all variables forecasted are significant before COVID-19. Both markets become inefficient during COVID-19, and analysts’ forecast is no longer correlated to information efficiency. These results inform practitioners and investors to inspect the market conditions and investor's behavior under market stress such as COVID-19, which has disrupted the international financial markets.

Keywords: Analysts’ forecast, Market liquidity, Information efficiency, Investor behavior, COVID-19.

References

Abudy, M. M. (2020). Retail investors' trading and stock market liquidity. The North American Journal of Economics and Finance, 54, 101281.

Amihud, Y., Hameed, A., Kang, W., & Zhang, H. (2015). The illiquidity premium: International evidence. Journal of Financial Economics, 117(2), 350-368.

Aouadi, A., Arouri, M., & Roubaud, D. (2018). Information demand and stock market liquidity: International evidence. Economic Modelling, 70, 194-202.

Barom M. N. (2019). Understanding socially responsible investing and its implications for Islamic investment industry. Journal of Emerging Economies and Islamic Research, 7(1), 1–13.

Bernales, A., Cañón, C., & Verousis, T. (2018). Bid–ask spread and liquidity searching behaviour of informed investors in option markets. Finance Research Letters, 25, 96-102.

Bilinski, P. (2021). Analyst information intermediation during the COVID-19 pandemic. Available at SSRN 3807974.

Blankespoor, E., Miller, G. S., & White, H. D. (2014). The role of dissemination in market liquidity: Evidence from companys' use of Twitter™. The Accounting Review, 89(1), 79-112.

Chatzis, S. P., Siakoulis, V., Petropoulos, A., Stavroulakis, E., & Vlachogiannakis, N. (2018). Forecasting stock market crisis events using deep and statistical machine learning techniques. Expert Systems with Applications, 112, 353-371.

Dang, T. L., Doan, N. T. P., Nguyen, T. M. H., Tran, T. T., & Vo, X. V. (2019). Analysts and stock liquidity–Global evidence. Cogent Economics & Finance, 7, 1625480.

DeBoskey, D. G., & Gillett, P. R. (2019). Another look: The impact of multi-dimensional corporate transparency on U.S. companys' market liquidity and analyst forecast properties. Review of Pacific Basin Financial Markets and Policies, 22(02), 1950008.

Dias, R., Teixeira, N., Machova, V., Pardal, P., Horak, J., & Vochozka, M. (2020). Random walks and market efficiency tests: evidence on U.S., Chinese and European capital markets within the context of the global Covid-19 pandemic. Oeconomia Copernicana, 11(4), 585-608.

Economou, F., Hassapis, C., & Philippas, N. (2018). Investors' fear and herding in the stock market. Applied Economics, 50(34-35), 3654-3663.

Fan, Y. (2018). Position adjusted turnover ratio and mutual fund performance. Studies in Economics and Finance, 35(1), 65-80.

Firth, M., Lin, C., Liu, P., & Xuan, Y. (2013). The client is king: Do mutual fund relationships bias analyst recommendations?. Journal of Accounting Research, 51(1), 165-200.

Galariotis, E. C., Krokida, S. I., & Spyrou, S. I. (2016). Herd behavior and equity market liquidity: Evidence from major markets. International Review of Financial Analysis, 48, 140-149.

Hou, J., Zhao, S., & Yang, H. (2020). Individual analysts, stock return synchronicity and information efficiency. International Review of Financial Analysis, 71, 101513.

Jiang, H., Zhang J., & Sun, C. (2020). How does capital buffer affect bank risk-taking? New evidence from China using quantile regression. China Economic Review, 60, 101300.

Lalwani, V., & Meshram, V. V. (2020). Stock market efficiency in the time of COVID-19: Evidence from industry stock returns. International Journal of Accounting & Finance Review, 5(2), 40-44.

Loang, O. K., & Ahmad, Z. (2020). Social factors and herd behaviour in developed markets, advanced emerging markets and secondary emerging markets. Journal of Contemporary Eastern Asia, 19(1), 97-122.

Loang, O. K., & Ahmad, Z. (2021). Does volatility mediate the impact of analyst recommendations on herding in Malaysian stock market?, Economics and Business Review, 21(4), 54-71.

Loang, O. K., & Ahmad, Z. (2022). Market overreaction, firm-specific information and macroeconomic variables in US and Chinese markets during COVID-19. Journal of Economic Studies, 49(8), 1548-1565.

Lou, X., & Shu, T. (2017). Price impact or trading volume: Why is the Amihud (2002) measure priced?. The Review of Financial Studies, 30(12), 4481-4520.

Ortmann, R., Pelster, M., & Wengerek, S. T. (2020). COVID-19 and investor behavior. Finance Research Letters, 37, 101717.

Pandey, D. K., & Kumari, V. (2021). Event study on the reaction of the developed and emerging stock markets to the 2019-nCoV outbreak. International Review of Economics & Finance, 71, 467-483.

Pesaran, M. H., Schuermann, T., & Weiner, S. M. (2004). Modeling regional interdependencies using a global errorcorrecting macro econometric model. Journal of Business & Economic Statistics, 22(2), 129-162.

Syed, A. M., & Bajwa, I. A. (2018). Earnings announcements, stock price reaction and market efficiency–the case of Saudi Arabia. International Journal of Islamic and Middle Eastern Finance and Management, 11(3), 416-431.

Vasileiou, E. (2021). Behavioral finance and market efficiency in the time of the COVID-19 pandemic: Does fear drive the market?. International Review of Applied Economics, 35(2), 224-241.

Zúñiga, F., Pincheira, R., Walker, J., & Turner, M. (2020). The effect of integrated reporting quality on market liquidity and analyst forecast error. Accounting Research Journal, 33(4), 635-650.

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Published
2023-08-31
How to Cite
Loang, O. K. (2023). INFORMATION EFFICIENCY IN THE U.S. AND SHARIAH-COMPLIANT STOCKS IN MALAYSIA DURING COVID-19. Journal of Islamic Monetary Economics and Finance, 9(3), 465-490. https://doi.org/10.21098/jimf.v9i3.1509
Section
Articles