From pandemic uncertainty to economic recovery: Does investor sentiment still matter for stock returns?
DOI:
https://doi.org/10.31106/jema.v20i1.19153Keywords:
Stock Return, Trading Behavior, Volatility, Event Study, COVID-19, UncertaintyAbstract
The relationship between investor sentiment and market dynamics is a highly intriguing research topic for both academics and the financial industry. By using Spearman rank correlation analysis, this paper aims to explore investors’ decision-making behavior (rational and irrational) on stock returns during and after the COVID-19 outbreak. While irrational factors of the study were measured by the Google Search Volume Index and trading volume, rational factors were measured by profitability and size. The study used three different characteristics of subsectors manufacturing industry namely Food and Beverage, Pharmacy, and Cigarettes that are listed in the Indonesia Stock Market. To the best of our knowledge, our study is the first to examine and compare the level of rationality of investors in a wide range of industries and sectors during and after the COVID-19 pandemic. Our finding supports the notion that both sentiments have an effect on stock returns indicating that cognitions, emotions, and the noise of traders still have an impact on the market. While overall rational sentiment has a more significant correlation with stock returns during the economic recovery phase, there was a highly significant correlation between irrational factors and stock returns during pandemic uncertainty conditions. Moreover, investors tend to be irrational and overreact when making investment decisions in Cigarette sectors during the COVID-19 pandemic. In contrast, after the pandemic, the correlation of rational sentiment of investors toward the Pharmacy industry is still higher than others.
References
Abbas, Y., & Nainggolan, Y. A. (2022). Profit , cash flow , and leverage : the case of ASEAN stock market performance during the COVID-19 pandemic pandemic. Journal of Accounting in Emerging Economies, ahead-of-p(ahead-of-print). https://doi.org/10.1108/JAEE-09-2021-0294
Ali, I. (2023). COVID-19, firm performance, and the value relevance of earnings. The Economics and Finance Letters, 10(1), 69–77.
Audrino, F., Sigrist, F., & Ballinari, D. (2020). The impact of sentiment and attention measures on stock market volatility. International Journal of Forecasting, 36(2), 334–357. https://doi.org/10.1016/j.ijforecast.2019.05.010
Baek, S., Mohanty, S. K., & Glambosky, M. (2020). COVID-19 and stock market volatility : An industry level analysis. Finance Research Letters, 37, 101748. https://doi.org/10.1016/j.frl.2020.101748
Bai, L., Wei, Y., Wei, G., Li, X., & Zhang, S. (2020). Infectious disease pandemic and permanent volatility of international stock markets : A long-term perspective. Finance Research Letters, 40, 101709. https://doi.org/10.1016/j.frl.2020.101709
Baker, H. K., Hargrove, M. B., & Haslem, J. A. (1977). An Empirical Analysis of the Risk-Return Preferences of Individual Investors. The Journal of Financial and Quantitative Analysis, 12(3), 377–389. https://doi.org/10.2307/2330541
Baker, M., & Wurgler, J. (2007). Investor Sentiment in the Stock Market. Journal OfEconomic Perspectives, 21(2), 129–151.
Barreto, P. L. de A., Barbedo, C. H. da S., & Camilo-da-Silva, E. (2023). Disposition Effect : Brazilian Investors ’ Behavior during the Covid-19 Pandemic. BBR. Brazilian Business Review, 20(1), 1–17.
Bekaert, G., Hodrick, R. J., & Zhang, X. X. (2010). Aggregate Idiosyncratic Volatility. Journal of Financial and Quantitative Analysis, 47, 1155–1185. https://doi.org/10.2139/ssrn.1108170
Bijl, L., Kringhaug, G., Molnár, P., & Sandvik, E. (2016). Google searches and stock returns. International Review of Financial Analysis, 45, 150–156. https://doi.org/10.1016/j.irfa.2016.03.015
Chiu, A., & Wu, G. (2011). Prospect theory. Wiley Eorms, 1–9. https://doi.org/10.1002/9780470400531.eorms0687
Chivianti, M., & Sukamulja, S. (2021). THE EFFECT OF GOOGLE SEARCH VOLUME INDEX ON UNDERPRICED IPOs AND DIVERGENCE OF OPINIONS. Journal of Indonesian Economy and Business, 36(1), 1–13.
Chou, P., Ho, P., & Ko, K. (2012). Do industries matter in explaining stock returns and asset-pricing anomalies ? Journal of Banking and Finance, 36(2), 355–370. https://doi.org/10.1016/j.jbankfin.2011.07.016
Erdem, O. (2020). Freedom and stock market performance during Covid-19 outbreak. Finance Research Letters, 36(June), 101671. https://doi.org/10.1016/j.frl.2020.101671
Fadly, S. R. (2021). Aktivitas Pasar Modal Indonesia Di Era Pandemi. Https://Www.Djkn.Kemenkeu.Go.Id/Kpknl-Kupang/Baca-Artikel/13817/Aktivitas-Pasar-Modal-Indonesia-Di-Era-Pandemi.Html. https://www.djkn.kemenkeu.go.id/kpknl-kupang/baca-artikel/13817/Aktivitas-Pasar-Modal-Indonesia-Di-Era-Pandemi.html
Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22.
Griffith, J., Najand, M., & Shen, J. (2020). Emotions in the Stock Market. Journal of Behavioral Finance, 21(1), 42–56. https://doi.org/10.1080/15427560.2019.1588275
Harjoto, M. A., & Rossi, F. (2023). Market reaction to the COVID-19 pandemic : evidence from emerging markets. International Journal of Emerging Markets, 18(1), 173–199. https://doi.org/10.1108/IJOEM-05-2020-0545
Hashemijoo, M., Ardekani, A. M., & Younesi, N. (2012). The Impact of Dividend Policy on Share Price Volatility in the Malaysian Stock Market. Jpurnal of Business Studies Quartely, 4(1), 111–129.
Hirshleifer, D. (2001). Investor Psychology and Asset Pricing. The Journal of Finance, 56(4), 533–1597.
Joseph, K., Wintoki, M. B., & Zhang, Z. (2011). Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search. International Journal of Forecasting, 27(4), 1116–1127.
Kahneman, D., & Tversky, A. (1979). Prospect Theory : An Analysis of Decision under Risk. Econometrica: Journal of the Econometric Society, 47(2), 263–292.
Kumari, J., & Mahakud, J. (2015). Does investor sentiment predict the asset volatility? Evidence from emerging stock market India. Journal of Behavioral and Experimental Finance, 8, 25–39. https://doi.org/10.1016/j.jbef.2015.10.001
Loang, O. K., & Ahmad, Z. (2023). Empirical Analysis of Global Markets Herding on COVID-19 Effect. Vision, 0(0), 1–11. https://doi.org/10.1177/09722629221146653
Lyócsa, Š., Baumöhl, E., Výrost, T., & Molnár, P. (2020). Fear of the coronavirus and the stock markets. Finance Research Letters, 36, 101735. https://doi.org/10.1016/j.frl.2020.101735
Marjerison, R. K., Han, L., & Chen, J. (2020). Investor Behavior During Periods of Crises : The Chinese Funds Market During the 2020 Pandemic. Review of Integrative Business and Economics Research, 12(1), 71–91.
Maysami, R. C., & Koh, T. S. (2000). A vector error correction model of the Singapore stock market. International Review of Economics & Finance, 9(1), 79–96. https://doi.org/10.1016/S1059-0560(99)00042-8
Mili, M., Yahiya, A., Amoodi, A., & Bawazir, H. (2022). The asymmetric effect of COVID-19 on investor sentiment : evidence from NARDL model. Review of Behavioral Finance, ahead-of-p(ahead-of-print). https://doi.org/10.1108/RBF-02-2022-0068
Milovidov, V. D. (2023). Redefining investors ’ goals in the post – normal world. The Journal of Risk Finance, 24(3), 371–385. https://doi.org/10.1108/JRF-07-2022-0191
Moegiarso, S. (2021). Pertumbuhan Ekonomi Triwulan II-2021 Menembus Zona Ekspansif. Https://Ekon.Go.Id/Publikasi/Detail/3196/Pertumbuhan-Ekonomi-Triwulan-Ii-2021-Menembus-Zona-Ekspansif. https://ekon.go.id/publikasi/detail/3196/pertumbuhan-ekonomi-triwulan-ii-2021-menembus-zona-ekspansif
Nainggolan, E. U. (2020). Strategi Kebijakan Pemulihan Ekonomi Nasional (PEN). Https://Www.Djkn.Kemenkeu.Go.Id/Artikel/Baca/13287/Strategi-Kebijakan-Pemulihan-Ekonomi-Nasional.Html. https://www.djkn.kemenkeu.go.id/artikel/baca/13287/Strategi-Kebijakan-Pemulihan-Ekonomi-Nasional.html
Neukirchen, D., Engelhardt, N., Krause, M., & Posch, P. N. (2022). Firm efficiency and stock returns during the COVID-19 crisis. Finance Research Letters, 44, 102037. https://doi.org/10.1016/j.frl.2021.102037
Nofsinger, J. R. (2005). Social Mood and Financial Economics Social Mood and Financial Economics. The Journal of Behavioral Finance, 6(3), 144–160. https://doi.org/10.1207/s15427579jpfm0603
Olsen, R. A. (1998). Behavioral Finance and Its Implications for Stock-Price Volatility. Financial Analysts Journal, 54(2), 10–18.
Ou, J. A., & Penman, S. H. (1989). Accounting Measurement , Price-Earnings Ratio , and the Information Content of Security Prices. Journal of Accounting Research, 27, 111–144.
Peng, K., Wu, C., Lin, P. M. C., & Esther, I. (2023). Investor Sentiment in the Tourism Stock Market. Journal of Behavioral and Experimental Finance, 37, 1–11. https://doi.org/10.1016/j.jbef.2022.100732
Pornpikul, C., & Nettayanun, S. (2022). Stock return drivers : a mix of reasons and emotions. Review of Behavioral Finance, 14(5), 751–771. https://doi.org/10.1108/RBF-04-2021-0059
Prosad, J. M., Kapoor, S., & Sengupta, J. (2015). Theory of Behavioral Finance. In Finance, Accounting, and Economics (AFAE) Book Series. https://doi.org/10.4018/978-1-4666-7484-4.ch001
Riaz, S., Ahmed, R., Parkash, R., & Ahmad, M. J. (2020). Determinants o f Stock Market Investors ’ Behavior in COVID-19 : A Study on the Pakistan Stock Exchange. International Journal of Disaster Recovery and Business Continuity, 11(3), 977–990.
Rubesam, A., Souza, G. De, & Júnior, R. (2022). Covid-19 and Herding in Global Equity Markets. Journal of Behavioral and Experimental Finance, 35, 1–14. https://doi.org/10.1016/j.jbef.2022.100672
Shehzad, K., Xiaoxing, L., & Kazouz, H. (2020). COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact? Finance Research Letters, 3, 101669.
Simon, H. A. (1995). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99–118. https://doi.org/10.2307/1884852
Statman, M. (1999). Behaviorial Finance: Past Battles and Future Engagements. Financial Analysts Journal, 55, 18–27. https://doi.org/10.2469/faj.v55.n6.2311
Statman, M. (2014). Behavioral finance : Finance with normal people. Borsa Istanbul Review, 14(2), 65–73. https://doi.org/10.1016/j.bir.2014.03.001
Sullivan, N. O., Zhu, S., & Foran, J. (2019). Sentiment versus liquidity pricing effects in the cross ‑ section of UK stock returns. Journal of Asset Management, 20(4), 317–329. https://doi.org/10.1057/s41260-019-00119-3
Tauseef, S. (2023). Herd behaviour in an emerging market : an evidence of calendar and size effects. JOURNAL OF ASIA BUSINESS STUDIES, 17(3), 639–655. https://doi.org/10.1108/JABS-10-2021-0430
Thampanya, N., Wu, J., Nasir, M. A., & Liu, J. (2020). Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries. Journal of International Financial Markets, Institutions and Money, 65, 1–51. https://doi.org/https://doi.org/10.1016/j.intfin.2020.10119
Topcu, M., & Gulal, O. S. (2020). The impact of COVID-19 on emerging stock markets. Finance Research Letters, 36, 101691.
Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty : Heuristics and Biases. Science, 185(4157), 1124–1131.
Tversky, A., & Kahneman, D. (1992). Advances in Prospect Theory : Cumulative Representation of Uncertainty Author ( s ): AMOS TVERSKY and DANIEL KAHNEMAN Published by : Springer Stable URL : https://www.jstor.org/stable/41755005 Advances in Prospect Theory : Cumulative Representation of Unc. Journal of Risk and Uncertainty, 5(4), 297–323.
Verma, R., Baklaci, H., & Soydemir, G. (2008). The impact of rational and irrational sentiments of individual and institutional investors on DJIA and S & P500 index returns. Applied Financial Economics, 18, 1303–1317. https://doi.org/10.1080/09603100701704272
Zhang, D., Hu, M., & Ji, Q. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36, 101528. https://doi.org/10.1016/j.frl.2020.101528
Downloads
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen
This work is licensed under a Creative Commons Attribution 4.0 International License.