Do government rescue policies reduce the market volatility after crash? Evidence from the Shanghai stock market
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DOI: 10.1016/j.frl.2019.03.020
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Cited by:
- Cai, Mei-Ling & Chen, Zhang-HangJian & Li, Sai-Ping & Xiong, Xiong & Zhang, Wei & Yang, Ming-Yuan & Ren, Fei, 2022. "New volatility evolution model after extreme events," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
- Yang, Zheng & Yang, Xingquan & Ren, Xiaoyi, 2025. "The supply chain financing role of government's stock purchase rescue policy: Stock market stabilization funds and trade credit financing of Chinese listed firms," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
- Saiful Izzuan Hussain & Steven Li, 2022. "Dependence structure between oil and other commodity futures in China based on extreme value theory and copulas," The World Economy, Wiley Blackwell, vol. 45(1), pages 317-335, January.
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Keywords
; ; ; ;JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- G01 - Financial Economics - - General - - - Financial Crises
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