Are disagreements agreeable? Evidence from information aggregation

Citations

Cited by:

1. Zhou, Mingtao & Ma, Yong, 2025. "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 101(C).
2. Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
3. Yaojie Zhang & Qingxiang Han & Mengxi He, 2024. "Forecasting stock market returns with a lottery index: Evidence from China," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1595-1606, August.
4. Yin, Libo & Zhu, Xiaoye, 2025. "Investor–firm interactions versus investor–investor interactions: Which enhances investor learning better?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
5. Michael Ehrmann & Paul Hubert, 2022. "Information Acquisition ahead of Monetary Policy Announcements," Working papers 897, Banque de France.
   • Ehrmann, Michael & Hubert, Paul, 2023. "Information acquisition ahead of monetary policy announcements," Working Paper Series 2770, European Central Bank.
   • Ehrmann, Michael & Hubert, Paul, 2022. "Information Acquisition ahead of Monetary Policy Announcements," CEPR Discussion Papers 17773, C.E.P.R. Discussion Papers.
6. Gebka, Bartosz, 2025. "Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?," Economic Modelling, Elsevier, vol. 148(C).
7. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
8. Ma, Yong & Zhou, Mingtao & Li, Shuaibing, 2024. "Weathering market swings: Does climate risk matter for agricultural commodity price predictability?," Journal of Commodity Markets, Elsevier, vol. 36(C).
9. Zhang, Yaojie & He, Mengxi & Wen, Danyan & Wang, Yudong, 2023. "Forecasting crude oil price returns: Can nonlinearity help?," Energy, Elsevier, vol. 262(PB).
10. Ma, Tian & Li, Ganghui & Zhang, Huajing, 2024. "Stock return predictability using economic narrative: Evidence from energy sectors," Journal of Commodity Markets, Elsevier, vol. 35(C).
11. Jiang, Fuwei & Kang, Jie & Meng, Lingchao, 2024. "Certainty of uncertainty for asset pricing," Journal of Empirical Finance, Elsevier, vol. 78(C).
12. Ma, Yong & Li, Shuaibing & Zhou, Mingtao, 2024. "Forecasting crude oil prices: Does global financial uncertainty matter?," International Review of Economics & Finance, Elsevier, vol. 96(PC).
13. Lin, Jianhao & Fan, Jiacheng & Zhang, Yifan, 2025. "Information Dissemination and the Monetary Policy Uncertainty Premium: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 171(C).
14. Zhou, Mingtao & Ma, Yong, 2025. "Physical vs. Transition climate risks: Asymmetric effects on stock return predictability," International Review of Financial Analysis, Elsevier, vol. 104(PA).
15. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
16. Pedro Isaac Chavez-Lopez & Tae-Hwy Lee, 2025. "Quantile-Covariance Three-Pass Regression Filter," Working Papers 202501, University of California at Riverside, Department of Economics.
17. He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
18. Zhang, Teng & Xu, Zhiwei, 2023. "The informational feedback effect of stock prices on corporate investments: A comparison of new energy firms and traditional energy firms in China," Energy Economics, Elsevier, vol. 127(PA).
19. Ma, Yong & Li, Shuaibing & Zhou, Mingtao, 2025. "Twitter-based market uncertainty and global stock volatility predictability," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
20. Sophia Zhengzi Li & Zeyao Luan, 2025. "News-based investor disagreement and stock returns," Review of Accounting Studies, Springer, vol. 30(3), pages 2312-2375, September.
21. Junjun Ma & Xindan Li & Lei Lu & Weixing Wu & Xiong Xiong, 2022. "Individual investors' dispersion in beliefs and stock returns," Financial Management, Financial Management Association International, vol. 51(3), pages 929-953, September.
22. Dai, Zhifeng & Jiang, Fuwei & Kang, Jie & Xue, Bowen, 2025. "Stock return predictability in the frequency domain," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1126-1147.
23. Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
24. Byun, Suk-Joon & Cho, Sangheum & Kim, Da-Hea, 2024. "Can a machine learn from behavioral biases? Evidence from stock return predictability of deep learning models," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
25. Han, Chunmao & Zhang, Wei, 2024. "Trading volume, anomaly returns and noise trader risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
26. Jiang, Fuwei & Liu, Hongkui & Yu, Jiasheng & Zhang, Huajing, 2023. "International stock return predictability: The role of U.S. uncertainty spillover," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
27. Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie & Wang, Qunwei, 2024. "Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors," Energy Economics, Elsevier, vol. 133(C).
28. Hongwei Xing & Hanying Wang & Feiyang Cheng & Shouyu Yao, 2023. "Mispricing: failure to capture the risk preferences dependent on market states," Annals of Operations Research, Springer, vol. 330(1), pages 1-26, November.