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Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market
Institution:1. School of Economics and Management, Shanxi University, Taiyuan, China;2. Department of Economics, Pusan National University, Busan, Republic of Korea;1. Graduate Program in Economics, Federal University of Santa Catarina, 88049-970 Florianopolis S.C., Brazil;2. Department of Economics, Federal University of Santa Catarina, 88049-970 Florianopolis S.C., Brazil;3. Department of Statistics, University of Brasilia, 70910-900 Brasilia, D.F., Brazil;4. Graduate Program in Business Administration, University of Brasilia, 70910-900 Brasilia D.F., Brazil;5. Graduate Program in Economics, Federal University of Espirito Santo, 29075-910 Vitoria E.S., Brazil;1. Shenzhen Central Sub-branch, The People’s Bank of China, Shenzhen, China;2. School of Finance, Nanjing University of Finance and Economics, Nanjing, China;3. Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China
Abstract:This paper focuses on the horse race of weekly idiosyncratic momentum (IMOM) with respect to various idiosyncratic risk metrics. Using the A-share individual stocks in the Chinese market from January 1997 to December 2017, we first evaluate the performance of the weekly momentum based on raw returns and idiosyncratic returns, respectively. After that the univariate portfolio analysis is conducted to investigate the return predictability with respect to various idiosyncratic risk metrics. Further, we perform a comparative study on the performance of the IMOM portfolios with respect to various risk metrics. At last, we explore the possible explanations to IMOM as well as risk-based IMOM portfolios. We find that 1) there are prevailing contrarian effect and IMOM effect for the whole sample; 2) the negative relations exist between most of the idiosyncratic risk metrics and the cross-sectional stock returns, and better performance is linked to idiosyncratic volatility (IVol) and maximum drawdowns (IMDs); 3) additionally, the IVol-based and IMD-based IMOM portfolios exhibit better explanatory power to the IMOM portfolios with respect to other risk metrics; 4) finally, higher profitability of IMOM as well as IVol-based and IMD-based IMOM portfolios is found to be related to upside market states, high levels of liquidity and high levels of investor sentiment.
Keywords:Momentum effect  Contrarian effect  Idiosyncratic risk  Chinese stock market
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