Dividend announcement and the value of sentiment analysis

References

• Azar, P. D., & Lo, A. W. (2016). The wisdom of Twitter crowds: Predicting stock market reactions to FOMC meetings via Twitter feeds. Journal of Portfolio Management, 42(5, SI), 123–134. https://doi.org/10.3905/jpm.2016.42.5.123
   Web of Science ®Google Scholar
• Baker, H., & Weigand, R. (2015). Corporate dividend policy revisited. Managerial Finance, 41(2, SI), 126–144. https://doi.org/10.1108/MF-03-2014-0077
   Web of Science ®Google Scholar
• Bhattacharya, S. (1979). Imperfect information, dividend policy, and the bird in the hand fallacy. Bell Journal of Economics, 10(1), 259–270. https://doi.org/10.2307/3003330
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Chan, S. W. K., & Chong, M. W. C. (2017). Sentiment analysis in financial texts. Decision Support Systems, 94, 53–64. https://doi.org/10.1016/j.dss.2016.10.006
   Web of Science ®Google Scholar
• Chong, D., Li, L., Wu, H., Park, J., Shi, H., & Yan, G. (2018). Social media sentiment and bank loan contracting. Journal of Industrial Integration and Management, 3(1), 1850007. https://doi.org/10.1142/S2424862218500070
   Google Scholar
• de Rooij, M., & Renneboog, L. (2009). The catering theory of dividends. In H. K. Baker (Ed.), Dividends and dividend policy (pp. 215–238). John Wiley & Sons LDT. https://doi.org/10.1002/9781118258408.ch13
   Google Scholar
• Doran, J. S., Peterson, D. R., & Price, S. M. (2012). Earnings conference call content and stock price: The case of REITs. The Journal of Real Estate Finance and Economics, 45(2), 402–434. https://doi.org/10.1007/s11146-010-9266-z
   Web of Science ®Google Scholar
• Du, H., Hao, J., He, F., & Xi, W. (2022). Media sentiment and cross-sectional stock returns in the Chinese stock market. Research in International Business and Finance, 60, 101590. https://doi.org/10.1016/j.ribaf.2021.101590
   Web of Science ®Google Scholar
• Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
   Web of Science ®Google Scholar
• Fersini, E., Messina, E., & Pozzi, F. A. (2014). Sentiment analysis: Bayesian ensemble learning. Decision Support Systems, 68, 26–38. https://doi.org/10.1016/j.dss.2014.10.004
   Web of Science ®Google Scholar
• Filbeck, G. (2009). Asymmetric information and signaling theory. In H.K. Baker (Ed.), Dividends and dividend policy (pp. 163–177). John Wiley & Sons LDT. https://doi.org/10.1002/9781118258408.ch10
   Google Scholar
• Ge, Q., Kurov, A., & Wolfe, M. H. (2019). Do investors care about presidential company-specific tweets? Journal of Financial Research, 42(2), 213–242. https://doi.org/10.1111/jfir.12177
   Web of Science ®Google Scholar
• Gilbert, E., & Karahalios, K. (2010). Widespread worry and the stock market. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 58–65. https://doi.org/10.1609/icwsm.v4i1.14023
   Google Scholar
• Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100089. https://doi.org/10.1016/j.tbench.2023.100089
   Google Scholar
• Hassanein, A., Mostafa, M., Benameur, K., & Al-Khasawneh, J. (2021). How do big markets react to investors’ sentiments on firm tweets? Journal of Sustainable Finance & Investment, 14(1), 1–23. https://doi.org/10.1080/20430795.2021.1949198
   Web of Science ®Google Scholar
• Hillert, A., Jacobs, H., & Müller, S. (2018). Journalist disagreement. Journal of Financial Markets, 41, 57–76. https://doi.org/10.1016/j.finmar.2018.09.002
   Web of Science ®Google Scholar
• Howatt, B., Zuber, R. A., Gandar, J. M., & Lamb, R. P. (2009). Dividends, earnings volatility and information. Applied Financial Economics, 19(7), 551–562. https://doi.org/10.1080/09603100802345397
   Google Scholar
• Jensen, G. R., Lundstrum, L. L., & Miller, R. E. (2010). What do dividend reductions signal? Journal of Corporate Finance, 16(5), 736–747. https://doi.org/10.1016/j.jcorpfin.2010.06.009
   Web of Science ®Google Scholar
• Jensen, M. C. (1986). Agency costs of free cash flow, corporate-finance, and takeovers. American Economic Review, 76(2), 323–329.
   Web of Science ®Google Scholar
• Kim, J., Won, C., & Bae, J. K. (2010). A knowledge integration model for the prediction of corporate dividends. Expert Systems with Applications, 37(2), 1344–1350. https://doi.org/10.1016/j.eswa.2009.06.035
   Web of Science ®Google Scholar
• Lang, L. H. P., & Litzenberger, R. H. (1989). Dividend announcements: Cash flow signalling vs. free cash flow hypothesis? Journal of Financial Economics, 24(1), 181–191. https://doi.org/10.1016/0304-405X(89)90077-9
   Web of Science ®Google Scholar
• Laoh, L. C. (2019). Dividend payout forecast : Multiple linear regression vs genetic algorithm-neural network. Cogito Smart Journal, 5(2), 252–265. https://doi.org/10.31154/cogito.v5i2.210.252-265
   Google Scholar
• Lei, L., Li, Y., & Luo, Y. (2019). Social media and voluntary nonfinancial disclosure: Evidence from Twitter presence and corporate political disclosure. Journal of Information Systems, 33(2), 99–128. https://doi.org/10.2308/isys-52189
   Web of Science ®Google Scholar
• Li, X., Sigov, A., Ratkin, L., Ivanov, L. A., & Li, L. (2023). Artificial intelligence applications in finance: A survey. Journal of Management Analytics, 10(4), 676–692. https://doi.org/10.1080/23270012.2023.2244503
   Web of Science ®Google Scholar
• Linsley, P. M., & Shrives, P. J. (2006). Risk reporting: A study of risk disclosures in the annual reports of UK companies. The British Accounting Review, 38(4), 387–404. https://doi.org/10.1016/j.bar.2006.05.002
   Google Scholar
• Longinidis, P., & Symeonidis, P. (2013). Corporate dividend policy determinants: Intelligent versus a traditional approach. Intelligent Systems in Accounting, Finance and Management, 20, 111–139. https://econpapers.repec.org/RePEc:wly:isacfm:v:20:y:2013:i:2:p:111-139
   Google Scholar
• Lopez-Lira, A., & Tang, Y. (2023). Can chatgpt forecast stock price movements? Return predictability and large language models. ArXiv Preprint ArXiv:2304.07619.
   Google Scholar
• Maitra, D., & Dey, K. (2012). Dividend announcement and market response in Indian stock market: An event-study analysis. Global Business Review, 13(2), 269–283. https://doi.org/10.1177/097215091201300206
   Google Scholar
• Man, Y., Huang, W., Zhao, W., & Jiang, W. (2017). Investment decisions for improving quality along supply chains. Journal of Management Analytics, 4(3), 240–257. https://doi.org/10.1080/23270012.2017.1357508
   Web of Science ®Google Scholar
• Miller, M. H., & Rock, K. (1985). Dividend policy under asymmetric information. Journal of Finance, 40(4), 1031–1051. https://doi.org/10.1111/j.1540-6261.1985.tb02362.x
   Web of Science ®Google Scholar
• Nissim, D., & Ziv, A. (2001). Dividend changes and future profitability. Journal of Finance, 56(6), 2111–2133. https://doi.org/10.1111/0022-1082.00400
   Web of Science ®Google Scholar
• Norinder, U., & Norinder, P. (2022). Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction. Journal of Management Analytics, 9(1), 1–16. https://doi.org/10.1080/23270012.2022.2031324
   Web of Science ®Google Scholar
• Polanyi, L., & Zaenen, A. (2006). Contextual valence shifters. In J. G. Shanahan, Y. Qu, & J. Wiebe (Eds.), Computing attitude and affect in text: Theory and applications (pp. 1–10). Springer Netherlands. https://doi.org/10.1007/1-4020-4102-0_1
   Google Scholar
• Qin, Q., Zhou, Z., Zhou, J., Huang, Z., Zeng, X., & Fan, B. (2024). Sentiment and attention of the Chinese public toward electric vehicles: A big data analytics approach. Engineering Applications of Artificial Intelligence, 127, 107216. https://doi.org/10.1016/j.engappai.2023.107216
   Web of Science ®Google Scholar
• Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
   Google Scholar
• Shi, H., Ma, Z., Chong, D., & He, W. (2021). The impact of Facebook on real estate sales. Journal of Management Analytics, 8(1), 101–112. https://doi.org/10.1080/23270012.2020.1858985
   Web of Science ®Google Scholar
• Sprenger, T. O., Sandner, P. G., Tumasjan, A., & Welpe, I. M. (2014). News or noise? Using Twitter to identify and understand company-specific news flow. Journal of Business Finance & Accounting, 41(7–8), 791–830. https://doi.org/10.1111/jbfa.12086
   Web of Science ®Google Scholar
• Suwanna, T. (2012). Impacts of dividend announcement on stock return. In G. Chiu, A. S. F. Tseng and J. M. L. Wu (Ed.), Asia pacific business innovation and technology management society (Vol. 40, pp. 721–725). Elsevier. https://doi.org/10.1016/j.sbspro.2012.03.255
   Google Scholar
• Wang, G., Sun, J., Ma, J., Xu, K., & Gu, J. (2014). Sentiment classification: The contribution of ensemble learning. Decision Support Systems, 57, 77–93. https://doi.org/10.1016/j.dss.2013.08.002
   Web of Science ®Google Scholar
• Wujec, M. (2021). Analysis of the financial information contained in the texts of current reports: A deep learning approach. Journal of Risk and Financial Management, 14(12). https://doi.org/10.3390/jrfm14120582
   Web of Science ®Google Scholar
• Xu, Y., Wang, J., Chen, Z., & Liang, C. (2023). Sentiment indices and stock returns: Evidence from China. International Journal of Finance & Economics, 28(1), 1063–1080. https://doi.org/10.1002/ijfe.2463
   Web of Science ®Google Scholar
• Yan, G., He, W., Shi, H., & Rawat, D. B. (2014). Applying a bilingual model to mine e-commerce satisfaction sentiment. Journal of Management Analytics, 1(4), 285–300. https://doi.org/10.1080/23270012.2014.995143
   Google Scholar
• Yaseen, H., & Trifan, R. (2019). The impact of dividend events on stock returns: Findings on companies listed on the Bucharest Stock Exchange. The Review of Finance and Banking, 11(2), 59–78. https://doi.org/10.24818/rfb.19.11.02.02
   Google Scholar
• Yilmaz, M. K., & Gulay, G. (2006). Dividend policies and price-volume reactions to cash dividends on the stock market: Evidence from the Istanbul stock exchange. Emerging Markets Finance and Trade, 42(4), 19–49. https://doi.org/10.2753/REE1540-496X420402
   Web of Science ®Google Scholar
• 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
   Google Scholar