中国股市是否反映了流动性不足?

Jun Liu, Kai Wu, Lan Zheng
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摘要

尽管流动性在过去几十年的资产定价文献中受到了广泛关注,但新兴市场的股票流动性如何定价仍不清楚。我们发现,通过纳入价差、深度和交易活动的多维流动性代理,流动性在解释预期收益的横截面和时间序列变化方面发挥了重要作用。在控制了几个常规定价因素后,预测能力仍然存在。我们还发现,高流动性不足的五分之一组产生的月度风险调整回报率高于低流动性不足的五分之一组,每月的回报率从3.2%到8.4%不等。结果对替代股票流动性措施和抽样标准具有鲁棒性。我们的研究结果突出了基于流动性的交易策略在中国股市的盈利能力。
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Is Illiquidity Priced in the Chinese Stock Market?
Although liquidity has received wide attention in asset pricing literature over the past decades, how stock liquidity is priced in emerging markets remains unclear. We find that liquidity plays an important role in explaining the cross-section and time-series variation in expected returns by incorporating multi-dimensional liquidity proxies in the spread, depth, and trading activity. The predictive power persists after controlling the several conventional pricing factors. We also find that the high illiquidity quintile generates higher monthly risk-adjusted returns than the low illiquidity quintile, ranging from 3.2% to 8.4% per month. The results are robust to alternative stock liquidity measures and sampling criteria. Our findings highlight the profitability of liquidity-based trading strategy in the Chinese stock market.
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