Microblogging Sentiment Investor, Return and Volatility in the COVID-19 Era: Indonesian Stock Exchange |
FARISKA, Putri
(Universitas Pendidikan Indonesia)
NUGRAHA, Nugraha (Faculty of Economics and Business, Universitas Pendidikan Indonesia) PUTERA, Ika (Faculty of Economics and Business, Universitas Islam Bandung) ROHANDI, Mochamad Malik Akbar (Faculty of Economics and Business, Universitas Islam Bandung) FARISKA, Putri (Faculty of Economics and Business, Telkom University) |
1 | Juanda, B. & Junaidi, J. (2012). Time Series Econometrics. Bogor, Indonesia: IPB Press. |
2 | Kim, S.-H., & Kim, D. (2014). Investor sentiment from internet message postings and the predictability of stock returns. Journal of Economic Behavior & Organization, 107, 708-729. https://doi.org/10.1016/j.jebo.2014.04.015 DOI |
3 | Lopez-Cabarcos, M. A., Perez-Pico, A. M., Vazquez-Rodriguez, P., & Lopez-Perez, M. L. (2019). Investor sentiment in the theoretical field of behavioural finance. Economic Research-Ekonomska Istrazivanja, 33(1), 2101-2119. https://doi.org/10.1080/1331677x.2018.1559748 DOI |
4 | Luu, Q. T., & Luong, H. T. T. (2020). Herding Behavior in Emerging and Frontier Stock Markets During Pandemic Influenza Panics. The Journal of Asian Finance, Economics and Business, 7(9), 147-158. https://doi.org/10.13106/jafeb.2020.vol7.no9.147 DOI |
5 | Malmendier, U., Pouzo, D., & Vanasco, V. (2020). Investor experiences and international capital flows. Journal of International Economics, 124, 103302. https://doi.org/10.1016/j.jinteco.2020.103302 DOI |
6 | Mitroi, A., & Oproiu, A. (2014). Behavioral finance: new research trends, socionomics and investor emotions. Theoretical and Applied Economics, XXI, 4(593), 153-166. |
7 | Nguyen, C. T., & Nguyen, M. H. (2019). Modeling Stock Price Volatility: Empirical Evidence from the Ho Chi Minh City Stock Exchange in Vietnam. The Journal of Asian Finance, Economics, and Business, 6(3), 19-26. https://doi.org/10.13106/JAFEB.2019.VOL6.NO3.19 DOI |
8 | Hong, H., & Stein, J. C. (2007). Disagreement and the Stock Market. Journal of Economic Perspectives, 21(2), 109-128. https://doi.org/10.1257/jep.21.2.109 DOI |
9 | Oh, C., & Sheng, O. (2011). Investigating predictive power of stock micro blog sentiment in forecasting future stock price directional movement. In: ICIS, 1-19. |
10 | Pineiro-Chousa, J. R., Lopez-Cabarcos, M. A., & Perez-Pico, A. M. (2016). Examining the influence of stock market variables on microblogging sentiment. Journal of Business Research, 69(6), 2087-2092. https://doi.org/10.1016/j.jbusres.2015.12.013 DOI |
11 | Pompian, M. M. (2011). Behavioral Finance and Wealth Management: How to Build Optimal Portfolios That Account for Investor Biases (Wiley Finance Book 318) (1st ed.). Wiley. |
12 | Qian, B., & Rasheed, K. (2006). Stock market prediction with multiple classifiers. Applied Intelligence, 26(1), 25-33. https://doi.org/10.1007/s10489-006-0001-7 DOI |
13 | Rahayu, S., Rohman, S., & Harto, P. (2021). Herding Behavior Model in Investment Decision on Emerging Markets: Experimental in Indonesia. The Journal of Asian Finance, Economics, and Business, 8(1), 53-59. https://doi.org/10.13106/JAFEB.2021.VOL8.NO1.053 DOI |
14 | Sahana, T. P., & Anuradha, J. (2019). Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN. Advances in Intelligent Systems and Computing, 38-45. https://doi.org/10.1007/978-3-030-30465-2_5 DOI |
15 | Sprenger, O. T., Tumasjan, A., Sdanner, G. P., & Welpe, M. I. (2013). Tweets and Trades: the information content of stock microblogs. European Financial Management. 20(5): 926-957. https://doi.org/10.1111/j.1468-036x.2013.12007.x DOI |
16 | Tetlock, P. (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 DOI |
17 | Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return. Journal of Business, 53(1), 61-65. https://doi.org/10.1086/296071 DOI |
18 | Baker, M., & Wurgler, J. (2006). Investor Sentiment and the CrossSection of Stock Returns. The Journal of Finance, 61(4), 1645-1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x DOI |
19 | Van Bommel, J. (2003). Rumors. The Journal of Finance, 58(4), 1499-1520. https://doi.org/10.1111/1540-6261.00575 DOI |
20 | Antweiler, W. & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. The Journal of Finance, 59(3), 1259-1294. https://doi.org/10.2139/ssrn.282320 DOI |
21 | Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307-343. https://doi.org/10.1016/s0304-405x(98)00027-0 DOI |
22 | Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1-8. https://doi.org/10.1016/j.jocs.2010.12.007 DOI |
23 | Garcia Petit, J. J., Vaquero Lafuente, E., & Rua Vieites, A. (2019). How information technologies shape investor sentiment: A web-based investor sentiment index. Borsa Istanbul Review, 19(2), 95-105. https://doi.org/10.1016/j.bir.2019.01.001 DOI |
24 | Zhang, X., Fuehres, H., & Gloor, P. A. (2011). Predicting Stock Market Indicators Through Twitter "I hope it is not as bad as I fear." Procedia - Social and Behavioral Sciences, 26, 55-62. https://doi.org/10.1016/j.sbspro.2011.10.562 DOI |
25 | Zhao, R. (2020). Quantifying the cross sectional relation of daily happiness sentiment and stock return: Evidence from US. Physica A: Statistical Mechanics and its Applications, 538, 122629. https://doi.org/10.1016/j.physa.2019.122629 DOI |
26 | Bourezk, H., Raji, A., Acha, N., & Barka, H. (2020). Analyzing Moroccan Stock Market using Machine Learning and Sentiment Analysis. 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology. https://doi.org/10.1109/iraset48871.2020.9092304 DOI |
27 | Coelho, J., D'almeida, D., Coyne, S., Gilkerson, N., Mills, K., & Madiraju, P. (2019). Social Media and Forecasting Stock Price Change. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/compsac.2019.10206 DOI |
28 | Da, Z., Engelberg, J., & Gao, P. (2014). The Sum of All FEARS Investor Sentiment and Asset Prices. Review of Financial Studies, 28(1), 1-32. https://doi.org/10.1093/rfs/hhu072 DOI |
29 | DeMarzo, P. M., Vayanos, D., & Zwiebel, J. (2003). Persuasion Bias, Social Influence, and Unidimensional Opinions. The Quarterly Journal of Economics, 118(3), 909-968. https://doi.org/10.1162/00335530360698469 DOI |
30 | Dijck, J. (2011). Tracing Twitter: The rise of a microblogging platform. International Journal of Media & Cultural Politics, 7(3), 333-348. https://doi.org/10.1386/macp.7.3.333_1 DOI |
31 | Hirshleifer, D., & Teoh, S. H. (2003). Limited attention, information disclosure, and financial reporting. Journal of Accounting and Economics, 36(1-3), 337-386. https://doi.org/10.1016/j.jacceco.2003.10.002 DOI |
32 | Hoffmann, A. O. I., & Post, T. (2015). How return and risk experiences shape investor beliefs and preferences. Accounting and Finance, 57(3), 759-788. https://doi.org/10.1111/acfi.12169 DOI |