Nonlinearity in stock returns: Do risk aversion, investor sentiment and, monetary policy shocks matter?
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DOI: 10.1016/j.iref.2020.10.002
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- Wang, Jianqiu & Wu, Ke & Tong, Guoshi & Chen, Dongxu, 2023. "Nonlinearity in the cross-section of stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 174-205.
- Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
- Kim, Karam & Ryu, Doojin, 2022. "Sentiment changes and the Monday effect," Finance Research Letters, Elsevier, vol. 47(PB).
- Jacques Bughin, 2023. "Are you resilient? Machine learning prediction of corporate rebound out of the Covid‐19 pandemic," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1547-1564, April.
- Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
- Jacques Bughin & Sybille Berjoan & Francis Hinterman & Yuhui Xiong, 2021. "Is this Time Different? Corporate Resilience in the Age of Covid-19," Working Papers TIMES² 2021-046, ULB -- Universite Libre de Bruxelles.
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Keywords
Risk aversion; Monetary shocks; Sentiment changes; Nonlinearity; Smooth; Transition model;All these keywords.
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