Tongshuai Qiao , Yang Zhao , Liyan Han , Donghui Li
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引用次数: 0
Abstract
This study examines the pricing of multivariate crash risk (MCRASH) in the Chinese stock market. Our findings indicate a significantly positive influence of MCRASH on the cross-section of future stock returns, with the MCRASH premium being notably higher in China than in the US. A plausible explanation for China's higher MCRASH premium is that Chinese stocks may experience greater loss magnitudes in left-tail events, leading investors to demand higher expected returns as compensation for bearing a unit of MCRASH. Additionally, the return effect of MCRASH is found to be significantly stronger for stocks of non-state-owned enterprises and those with lower media coverage. Finally, we construct a four-factor model comprising market, size, value, and MCRASH factors, which demonstrates superior explanatory power compared with the CH3 and CH4 models proposed in the literature.
期刊介绍：
The Journal of Banking and Finance (JBF) publishes theoretical and empirical research papers spanning all the major research fields in finance and banking. The aim of the Journal of Banking and Finance is to provide an outlet for the increasing flow of scholarly research concerning financial institutions and the money and capital markets within which they function. The Journal''s emphasis is on theoretical developments and their implementation, empirical, applied, and policy-oriented research in banking and other domestic and international financial institutions and markets. The Journal''s purpose is to improve communications between, and within, the academic and other research communities and policymakers and operational decision makers at financial institutions - private and public, national and international, and their regulators. The Journal is one of the largest Finance journals, with approximately 1500 new submissions per year, mainly in the following areas: Asset Management; Asset Pricing; Banking (Efficiency, Regulation, Risk Management, Solvency); Behavioural Finance; Capital Structure; Corporate Finance; Corporate Governance; Derivative Pricing and Hedging; Distribution Forecasting with Financial Applications; Entrepreneurial Finance; Empirical Finance; Financial Economics; Financial Markets (Alternative, Bonds, Currency, Commodity, Derivatives, Equity, Energy, Real Estate); FinTech; Fund Management; General Equilibrium Models; High-Frequency Trading; Intermediation; International Finance; Hedge Funds; Investments; Liquidity; Market Efficiency; Market Microstructure; Mergers and Acquisitions; Networks; Performance Analysis; Political Risk; Portfolio Optimization; Regulation of Financial Markets and Institutions; Risk Management and Analysis; Systemic Risk; Term Structure Models; Venture Capital.
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