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Manager sentiment and stock returns

Citations

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Cited by:

  1. Fang, Yi & Wang, Qi & Wang, Yanru & Yuan, Yan, 2024. "Media sentiment, deposit stability and bank systemic risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 1150-1172.
  2. Wang, Cheng & Han, Jing, 2023. "Prospect theory and mutual fund flows: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  3. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
  4. Anwen Yin, 2022. "Does the kitchen‐sink model work forecasting the equity premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 223-247, March.
  5. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
  6. Al-Nasseri, Alya & Menla Ali, Faek & Tucker, Allan, 2021. "Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors," International Review of Financial Analysis, Elsevier, vol. 78(C).
  7. Jiang, Yuexiang & Fu, Tao & Long, Huaigang & Zaremba, Adam & Zhou, Wenyu, 2022. "Real estate climate index and aggregate stock returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  8. Dai, Zhifeng & Zhang, Xiaotong & Li, Tingyu, 2023. "Forecasting stock return volatility in data-rich environment: A new powerful predictor," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
  9. Mengxi He & Xianfeng Hao & Yaojie Zhang & Fanyi Meng, 2021. "Forecasting stock return volatility using a robust regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1463-1478, December.
  10. Xiaobo Tang & Shixuan Li & Mingliang Tan & Wenxuan Shi, 2020. "Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 769-787, August.
  11. 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).
  12. Chen, Shaoling & Gao, Qing & Peng, Qing & Yang, Haisheng, 2021. "Government-decentralized power: Measurement and effects," Emerging Markets Review, Elsevier, vol. 48(C).
  13. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
  14. Yin, Libo & Nie, Jing, 2021. "Adjusted dividend-price ratios and stock return predictability: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 73(C).
  15. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  16. Xu, Yongan & Wang, Jianqiong & Chen, Zhonglu & Liang, Chao, 2021. "Economic policy uncertainty and stock market returns: New evidence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  17. Lu, Xinjie & Ma, Feng & Wang, Tianyang & Wen, Fenghua, 2023. "International stock market volatility: A data-rich environment based on oil shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 184-215.
  18. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
  19. John L. Campbell & Hye Seung “Grace” Lee & Hsin‐Min Lu & Logan B. Steele, 2020. "Express Yourself: Why Managers' Disclosure Tone Varies Across Time and What Investors Learn From It," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 1140-1171, June.
  20. Luiz Renato Lima & Lucas Lúcio Godeiro, 2023. "Equity‐premium prediction: Attention is all you need," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 105-122, January.
  21. Xue Gong & Weiguo Zhang & Yuan Zhao & Xin Ye, 2023. "Forecasting stock volatility with a large set of predictors: A new forecast combination method," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1622-1647, November.
  22. Hoang, Khoa & Cannavan, Damien & Huang, Ronghong & Peng, Xiaowen, 2021. "Predicting stock returns with implied cost of capital: A partial least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
  23. Chen, Jian & Tang, Guohao & Yao, Jiaquan & Zhou, Guofu, 2023. "Employee sentiment and stock returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  24. Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
  25. 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.
  26. Song, Ziyu & Yu, Changrui, 2022. "Investor sentiment indices based on k-step PLS algorithm: A group of powerful predictors of stock market returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
  27. Mathur, Aakriti & Sengupta, Rajeswari & Pratap, Bhanu, 2024. "Equity market responses to surprise Covid-19 lockdowns: The role of pandemic-driven uncertainty," Journal of Asian Economics, Elsevier, vol. 91(C).
  28. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "Cross-border portfolio flows and news media coverage," Journal of International Money and Finance, Elsevier, vol. 126(C).
  29. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Investor Confidence and Forecastability of US Stock Market Realized Volatility: Evidence from Machine Learning," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 111-122, January.
  30. He, Yu & Lu, Shanglin & Wei, Ran & Wang, Shixuan, 2024. "Local media sentiment towards pollution and its effect on corporate green innovation," International Review of Financial Analysis, Elsevier, vol. 94(C).
  31. Wenbo Ma & Xinjie Wang & Yuan Wang & Ge Wu, 2021. "Measuring misleading information in IPO prospectuses," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 819-843, October.
  32. Yetaotao Qiu & Michel Magnan & Shafu Zhang, 2023. "Competitive threat and strategic disclosure during the IPO quiet period," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 375-416, January.
  33. Ding Du & Ou Hu, 2020. "Why does stock-market investor sentiment influence corporate investment?," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1221-1246, May.
  34. Zhang, Shengpeng & Li, Yaokuang & Liang, Ruixin & He, Yu, 2024. "Does management tone matter in information disclosure? Evidence from IPO online roadshows in the SSE STAR market," International Review of Financial Analysis, Elsevier, vol. 94(C).
  35. Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
  36. Zhang, Yaojie & Wang, Yudong, 2023. "Forecasting crude oil futures market returns: A principal component analysis combination approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 659-673.
  37. Apergis, Nicholas, 2022. "Overconfidence and US stock market returns," Finance Research Letters, Elsevier, vol. 45(C).
  38. Rüdiger Weber & Annika Weber & Christine Laudenbach & Johannes Wohlfart, 2021. "Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment," CEBI working paper series 21-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
  39. Yao Ge & Zheng Qiao & Zhe Shen & Zhiyu Zhang, 2023. "Production similarity and the cross‐section of stock returns: A machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 4849-4882, December.
  40. Ung, Sze Nie & Gebka, Bartosz & Anderson, Robert D.J., 2023. "Is sentiment the solution to the risk–return puzzle? A (cautionary) note," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  41. Jiang, Dequan & Li, Weiping & Shen, Yongjian & Yu, Shuangli, 2022. "Does air pollution affect earnings management? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
  42. Shuangyan Li & Guangrui Wang & Yongli Luo, 2022. "Tone of language, financial disclosure, and earnings management: a textual analysis of form 20-F," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
  43. Roland Füss & Massimo Guidolin & Christian Koeppel, 2019. "Sentiment Risk Premia In The Cross-Section of Global Equity," Working Papers on Finance 1913, University of St. Gallen, School of Finance, revised May 2020.
  44. Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2022. "The role of investor sentiment in forecasting housing returns in China: A machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1725-1740, December.
  45. Chen, Jian & Qi, Shuyuan, 2024. "Limit-hitting exciting effects: Modeling jump dependencies in stock markets adhering to daily price-limit rules," Journal of Banking & Finance, Elsevier, vol. 163(C).
  46. Andrew Todd & James Bowden & Yashar Moshfeghi, 2024. "Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(1), March.
  47. Antonio Gargano & Juan Sotes-Paladino & Patrick Verwijmeren, 2022. "Out of Sync: Dispersed Short Selling and the Correction of Mispricing," Working Papers 108, Red Nacional de Investigadores en Economía (RedNIE).
  48. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  49. Meng, Bo & Vijh, Anand M., 2021. "Stock merger activity and industry performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
  50. Ma, Feng & Guo, Yangli & Chevallier, Julien & Huang, Dengshi, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
  51. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
  52. Fengler, Matthias & Phan, Minh Tri, 2023. "A Topic Model for 10-K Management Disclosures," Economics Working Paper Series 2307, University of St. Gallen, School of Economics and Political Science.
  53. Yin, Anwen, 2020. "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  54. Aakriti Mathur & Rajeswari Sengupta & Bhanu Pratap, 2022. "Saved by the bell? Equity market responses to surprise Covid-19 lockdowns and central bank interventions," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-001, Indira Gandhi Institute of Development Research, Mumbai, India.
  55. Zhang, Li & Li, Yan & Yu, Sixin & Wang, Lu, 2023. "Risk transmission of El Niño-induced climate change to regional Green Economy Index," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 860-872.
  56. Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
  57. Zhuo Huang & Fang Liang & Chen Tong, 2021. "The predictive power of macroeconomic uncertainty for commodity futures volatility," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 989-1012, September.
  58. Aktas, Nihat & Boone, Audra & Croci, Ettore & Signori, Andrea, 2021. "Reductions in CEO career horizons and corporate policies," Journal of Corporate Finance, Elsevier, vol. 66(C).
  59. Guo, Haifeng & Wang, Ying & Wang, Bo & Ge, Yuanjing, 2022. "Does prospectus AE affect IPO underpricing? A content analysis of the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 1-12.
  60. Lu, Fei & Ma, Feng & Hu, Shiyang, 2024. "Does energy consumption play a key role? Re-evaluating the energy consumption-economic growth nexus from GDP growth rates forecasting," Energy Economics, Elsevier, vol. 129(C).
  61. Feng, Guo & Tang, Bo & Wen, Jipeng & Yan, Shuo, 2022. "The effect on stock performance of executives' emotions during IPO roadshows," International Review of Financial Analysis, Elsevier, vol. 81(C).
  62. Li, Hui & Zeng, Min & Liu, Ya-Fei, 2023. "Secret sentiments make for good announcements: Does unjustified managerial belief benefit tourism firm performance?," Annals of Tourism Research, Elsevier, vol. 103(C).
  63. Xiaojun Chu & Jianying Qiu, 2021. "Forecasting stock returns using first half an hour order imbalance," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3236-3245, July.
  64. Weiguo Zhang & Xue Gong & Chao Wang & Xin Ye, 2021. "Predicting stock market volatility based on textual sentiment: A nonlinear analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1479-1500, December.
  65. Zhang, Yi & Hu, Ailing & Wang, Jiahua & Zhang, Yaojie, 2022. "Detection of fraud statement based on word vector: Evidence from financial companies in China," Finance Research Letters, Elsevier, vol. 46(PB).
  66. Samuel YM Ze‐To, 2022. "Fundamental index aligned and excess market return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 592-614, April.
  67. Xu, Yongan & Duong, Duy & Xu, Hualong, 2023. "Attention! Predicting crude oil prices from the perspective of extreme weather," Finance Research Letters, Elsevier, vol. 57(C).
  68. 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).
  69. Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
  70. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2022. "Geopolitical risk trends and crude oil price predictability," Energy, Elsevier, vol. 258(C).
  71. Mengxi He & Yudong Wang & Yaojie Zhang, 2023. "The predictability of iron ore futures prices: A product‐material lead–lag effect," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1289-1304, September.
  72. Li, Zhiyong & Wan, Yifan & Wang, Tianyi & Yu, Mei, 2023. "Factor-timing in the Chinese factor zoo: The role of economic policy uncertainty," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
  73. Marco Caiffa & Vincenzo Farina & Lucrezia Fattobene, 2021. "CEO Duality: Newspapers and Stock Market Reactions," JRFM, MDPI, vol. 14(1), pages 1-18, January.
  74. Wei Zhang & Yingxiu Zhao & Pengfei Wang & Dehua Shen, 2020. "Investor Sentiment and the Return Rate of P2P Lending Platform," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 97-113, March.
  75. Yaojie Zhang & Feng Ma & Chao Liang & Yi Zhang, 2021. "Good variance, bad variance, and stock return predictability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4410-4423, July.
  76. Chao Liang & Yaojie Zhang & Xiafei Li & Feng Ma, 2022. "Which predictor is more predictive for Bitcoin volatility? And why?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1947-1961, April.
  77. Li, Fengyu & Yang, Mozhu & Zhang, Tong, 2023. "Does prospectus readability matter for bond issuance pricing? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  78. Lin, Hai & Tao, Xinyuan & Wu, Chunchi, 2022. "Forecasting earnings with combination of analyst forecasts," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 133-159.
  79. Haritha P H & Abdul Rishad, 2020. "An empirical examination of investor sentiment and stock market volatility: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
  80. Lu, Jing & Chen, Rongze, 2023. "Do individual investors pay attention to the information acquisition activities of institutional investors?," Finance Research Letters, Elsevier, vol. 58(PD).
  81. Jin, Zuben, 2024. "Business aspects in focus, investor underreaction and return predictability," Journal of Corporate Finance, Elsevier, vol. 84(C).
  82. Arikan, Mazhar & Kara, Mehmet & Masli, Adi & Xi, Yaoyi, 2023. "Political euphoria and corporate disclosures: An investigation of CEO partisan alignment with the president of the United States," Journal of Accounting and Economics, Elsevier, vol. 75(2).
  83. , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
  84. John Berns & Patty Bick & Ryan Flugum & Reza Houston, 2022. "Do changes in MD&A section tone predict investment behavior?," The Financial Review, Eastern Finance Association, vol. 57(1), pages 129-153, February.
  85. Zachary McGurk & Adam Nowak & Joshua C. Hall, 2020. "Stock returns and investor sentiment: textual analysis and social media," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(3), pages 458-485, July.
  86. Gregory, Richard Paul, 2021. "What determines Manager and Investor Sentiment?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
  87. Fuwei Jiang & Fujing Jin & Kejia Zhang, 2023. "Financial openness and profitability premium: Causal evidence from the Shanghai‐Hong Kong Stock Connect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 451-483, March.
  88. Nan Hu & Xingnan Xue & Ling Liu, 2022. "The impact of air pollution on financial reporting quality: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3609-3644, September.
  89. Pablo Pastory y Camarasa & Martien Lamers, 2023. "Do Actions Follow Words? How bank sentiment predicts credit growth," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1073, Ghent University, Faculty of Economics and Business Administration.
  90. Onur Bayar & Emre Kesici, 2024. "The impact of social media on venture capital financing: evidence from Twitter interactions," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 195-224, January.
  91. Karavitis, Panagiotis & Kazakis, Pantelis, 2022. "Political sentiment and syndicated loan borrowing costs of multinational enterprises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
  92. Zhang, Yaojie & Ma, Feng & Wei, Yu, 2019. "Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches," Energy Economics, Elsevier, vol. 81(C), pages 1109-1120.
  93. An, Suwei, 2023. "Essays on incentive contracts, M&As, and firm risk," Other publications TiSEM dd97d2f5-1c9d-47c5-ba62-f, Tilburg University, School of Economics and Management.
  94. Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2020. "Music sentiment and stock returns," Economics Letters, Elsevier, vol. 192(C).
  95. Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
  96. Danso, Albert & Lartey, Theophilus & Amankwah-Amoah, Joseph & Adomako, Samuel & Lu, Qinye & Uddin, Moshfique, 2019. "Market sentiment and firm investment decision-making," International Review of Financial Analysis, Elsevier, vol. 66(C).
  97. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
  98. Guo, Yangli & Ma, Feng & Li, Haibo & Lai, Xiaodong, 2022. "Oil price volatility predictability based on global economic conditions," International Review of Financial Analysis, Elsevier, vol. 82(C).
  99. He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
  100. 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).
  101. Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
  102. Hitoshi Iwasaki & Ying Chen & Jun Tu, 2023. "Topic tones of analyst reports and stock returns: A deep learning approach," International Review of Finance, International Review of Finance Ltd., vol. 23(4), pages 831-858, December.
  103. Xiao Wu, Dong & Yao, Xiao & Luan Guo, Jian, 2021. "Is Textual Tone Informative or Inflated for Firm’s Future Value? Evidence from Chinese Listed Firms," Economic Modelling, Elsevier, vol. 94(C), pages 513-525.
  104. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
  105. Huang, Dashan & Li, Jiangyuan & Wang, Liyao & Zhou, Guofu, 2020. "Time series momentum: Is it there?," Journal of Financial Economics, Elsevier, vol. 135(3), pages 774-794.
  106. Wu, Di & Gao, Shenghao & Chan, Kam C. & Cheng, Xiaoke, 2022. "Do firms strategically respond to retail investors on the online interactive information disclosure platform?," Finance Research Letters, Elsevier, vol. 47(PA).
  107. Yongan Xu & Jianqiong Wang & Zhonglu Chen & Chao Liang, 2023. "Sentiment indices and stock returns: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1063-1080, January.
  108. Makridis, Christos A. & Schloetzer, Jason D., 2023. "Extreme local temperatures lower expressed sentiment about U.S. economic conditions with implications for the stock returns of local firms," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  109. Xie, Yutang & Peng, Huan & Feng, Ting, 2024. "Pricing stock index futures with sentiments," Finance Research Letters, Elsevier, vol. 61(C).
  110. Haitham A. Al‐Zoubi & Jennifer A. O'Sullivan & Aktham I. Al‐Maghyereh & Brendan J. Lambe, 2023. "Disentangling Sentiment from Cyclicality in Firm Capital Structure," Abacus, Accounting Foundation, University of Sydney, vol. 59(2), pages 570-605, June.
  111. Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
  112. Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
  113. Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
  114. Padma Kadiyala, 2022. "Response of ETF flows and long-run returns to investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 489-531, December.
  115. Yu, Deshui & Huang, Difang, 2023. "Cross-sectional uncertainty and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 321-340.
  116. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
  117. Meng‐Feng Yen & Yu‐Pei Huang & Liang‐Chih Yu & Yueh‐Ling Chen, 2022. "A Two-Dimensional Sentiment Analysis of Online Public Opinion and Future Financial Performance of Publicly Listed Companies," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1677-1698, April.
  118. Rei Yamamoto & Naoya Kawadai & Masataka Kurita & Satoshi Baba, 2022. "Managements’ tone strategies by earnings call transcripts in the global markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(3), pages 246-255, May.
  119. 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).
  120. Zhang, Yaojie & He, Mengxi & Wang, Yudong & Liang, Chao, 2023. "Global economic policy uncertainty aligned: An informative predictor for crude oil market volatility," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1318-1332.
  121. Liu, Yi & Jin, Justin & Zhang, Zehua & Zhao, Ran, 2022. "Firm-level political sentiment and corporate tax avoidance," International Review of Financial Analysis, Elsevier, vol. 84(C).
  122. Ma, Tian & Leong, Wen Jun & Jiang, Fuwei, 2023. "A latent factor model for the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 87(C).
  123. Brückbauer, Frank & Cezanne, Thibault, 2022. "Bank manager sentiment, loan growth and bank risk," ZEW Discussion Papers 22-066, ZEW - Leibniz Centre for European Economic Research.
  124. Huang, Dashan & Jiang, Fuwei & Li, Kunpeng & Tong, Guoshi & Zhou, Guofu, 2023. "Are bond returns predictable with real-time macro data?," Journal of Econometrics, Elsevier, vol. 237(2).
  125. Adnan Abo Al Haija & Rahma Lahyani, 2023. "Dynamic interactions of actual stock returns with forecasted stock returns and investors’ risk aversion: empirical evidence interplaying the impact of Covid-19 pandemic," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 1129-1149, October.
  126. Dang, Man & Puwanenthiren, Premkanth & Nguyen, Manh Toan & Hoang, Viet Anh & Mazur, Mieszko & Henry, Darren, 2022. "Does managerial tone matter for stock liquidity? Evidence from textual disclosures," Finance Research Letters, Elsevier, vol. 48(C).
  127. Gianni La Cava, 2021. "Smells Like Animal Spirits: The Effect of Corporate Sentiment on Investment," RBA Research Discussion Papers rdp2021-11, Reserve Bank of Australia.
  128. Kothari, Pratik & O’Doherty, Michael S., 2023. "Job postings and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
  129. Zaremba, Adam & Szyszka, Adam & Long, Huaigang & Zawadka, Dariusz, 2020. "Business sentiment and the cross-section of global equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
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  131. Shrestha, Keshab & Naysary, Babak, 2023. "ESG and economic policy uncertainty: A wavelet application," Finance Research Letters, Elsevier, vol. 58(PD).
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