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Probability of price crashes, rational speculative bubbles, and the cross-section of stock returns

Citations

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Cited by:

  1. Fang, Yan & Yuan, Jie & Yang, J. Jimmy & Ying, Shangjun, 2022. "Crash-based quantitative trading strategies: Perspective of behavioral finance," Finance Research Letters, Elsevier, vol. 45(C).
  2. Tingqiu Cao & Xianhang Qian & Le Zhang, 2024. "The price of the slow lane: Traffic congestion and stock block trading premium," International Review of Finance, International Review of Finance Ltd., vol. 24(1), pages 30-52, March.
  3. Ruwei Zhao & Ruixin Fan & Xiong Xiong & Jianli Wang & Jitka Hilliard, 2023. "Media Tone and Stock Price Crash Risk: Evidence from China," Mathematics, MDPI, vol. 11(17), pages 1-14, August.
  4. Bae, Jaewan & Kang, Jangkoo, 2022. "The negative hiring rate premium on stock returns in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
  5. Irfan Safdar & Michael Neel & Babatunde Odusami, 2022. "Accounting information and left-tail risk," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1709-1740, May.
  6. Cheng, Feiyang & Wang, Chunfeng & Cui, Xin & Wu, Ji & He, Feng, 2021. "Economic policy uncertainty exposure and stock price bubbles: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
  7. Ji Cao & Marc Oliver Rieger & Lei Zhao, 2019. "Safety First, Loss Probability, and the Cross Section of Expected Stock Returns," Working Paper Series 2019-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
  8. Zhu, Hongbing & Yang, Lihua & Xu, Changxin, 2023. "Tracking investor gambling intensity," International Review of Financial Analysis, Elsevier, vol. 86(C).
  9. Sheng, Yankai & Qu, Yuanyu & Ma, Ding, 2024. "Stock price crash prediction based on multimodal data machine learning models," Finance Research Letters, Elsevier, vol. 62(PA).
  10. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2022. "Research on stock volatility risk and investor sentiment contagion from the perspective of multi-layer dynamic network," International Review of Financial Analysis, Elsevier, vol. 84(C).
  11. Fang, Yi & Niu, Hui & Tong, Xiangda, 2022. "Crash probability anomaly in the Chinese stock market," Finance Research Letters, Elsevier, vol. 44(C).
  12. Luo, Deming & Yao, Zhongwei & Zhu, Yanjian, 2022. "Bubble-crash experience and investment styles of mutual fund managers," Journal of Corporate Finance, Elsevier, vol. 76(C).
  13. Yuxin Zhang & Rajiv Garg & Linda L. Golden & Patrick L. Brockett & Ajit Sharma, 2024. "Segmenting Bitcoin Transactions for Price Movement Prediction," JRFM, MDPI, vol. 17(3), pages 1-17, March.
  14. Choi, Young Mok & Park, Kunsu, 2022. "Zero-leverage policy and stock price crash risk: Evidence from Korea," International Review of Financial Analysis, Elsevier, vol. 81(C).
  15. Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.
  16. Andreou, Christoforos K. & Andreou, Panayiotis C. & Lambertides, Neophytos, 2021. "Financial distress risk and stock price crashes," Journal of Corporate Finance, Elsevier, vol. 67(C).
  17. Chabi-Yo, Fousseni & Huggenberger, Markus & Weigert, Florian, 2022. "Multivariate crash risk," Journal of Financial Economics, Elsevier, vol. 145(1), pages 129-153.
  18. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
  19. Jorge M. Uribe & Natalia Restrepo & Montserrat Guillen, 2021. ""Price Bubbles in Lithium Markets around the World"," IREA Working Papers 202110, University of Barcelona, Research Institute of Applied Economics, revised Apr 2021.
  20. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.
  21. Cao, Ji & Rieger, Marc Oliver & Zhao, Lei, 2023. "Safety first, loss probability, and the cross section of expected stock returns," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 345-369.
  22. Chang, Chiu-Lan, 2024. "Extreme events, economic uncertainty and speculation on occurrences of price bubbles in crude oil futures," Energy Economics, Elsevier, vol. 130(C).
  23. Fan, Ruixin & Xiong, Xiong & Gao, Ya, 2021. "Can the probability of extreme returns be the basis for profitable portfolios? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 76(C).
  24. Fiorillo, Paolo & Meles, Antonio & Pellegrino, Luigi Raffaele & Verdoliva, Vincenzo, 2024. "Geopolitical risk and stock price crash risk: The mitigating role of ESG performance," International Review of Financial Analysis, Elsevier, vol. 91(C).
  25. Borochin, Paul & Rush, Stephen, 2022. "Information networks in the financial sector and systemic risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
  26. Ao Kong & Robert Azencott & Hongliang Zhu & Xindan Li, 2024. "Pattern Recognition in Microtrading Behaviors Preceding Stock Price Jumps: A Study Based on Mutual Information for Multivariate Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1401-1429, April.
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