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流动性、流动性波动与股票预期收益——基于沪市高频交易数据的经验研究 被引量:8

Liquidity,Liquidity Volatility and Expected Stock Returns:Empirical Research Based on HFT Data in Shanghai
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摘要 本文基于2011-2017年沪市分时高频交易数据,构建买卖价差指标以衡量市场流动性与流动性波动水平,探讨市场流动性、流动性波动对股票预期收益的影响。研究发现:市场流动性对股票预期收益存在负向影响,证明上海股市存在非流动性溢价;流动性波动对股票预期收益存在负向影响,分位数分组、剔除离群值后估计结果稳健。研究还发现,相较于上涨与反弹阶段,股市处于震荡与下跌阶段时,市场流动性对股票预期收益的影响更大;相较于上海市场,深圳市场流动性对股票预期收益的影响更大。本文的研究结论对改善我国股市流动性、提升股票市场质量具有深刻的政策启示。 Based on the time-sharing and high-frequency trading data in Shanghai stock markefrom 2011 to 2017,the paper builds bid-ask spread indicators to measure market liquidity and volatility of liquidity,and then discusses the impact of market liquidity,liquidity volatility on the expected return of stocks.Results show that:market liquidity has a negative impact on the expected return of stocks impact,proving the existence of illiquidity premium in Shanghai stock market.Liquidity volatility also has negative effect on the expected return of stock.After quantile grouping,eliminating outliers,the results are still robust.In addition,the study also finds that,compared with the rise and rebound phase,market liquidity has bigger influence on expected return of stocks in the shock and decline phase. Compared with Shanghai market, liquidity of Shenzhen market has bigger influence on stock's earnings.The study has profound policy implications for improving the liquidity and quality of China's stock market.
作者 李志辉 孙广宇 夏秋 Li Zhihui;Sun Guangyu;Xia Qiu(School of Economics,Nankai University,Tianjin 300071,China;School of International Trade and Economics,Jiangxi University of Finance and Economics,Nanchang 330013,China)
出处 《南开经济研究》 CSSCI 北大核心 2019年第3期181-197,共17页 Nankai Economic Studies
基金 中国工程院咨询研究项目“国家新一代人工智能大战略下天津市人工智能产业化发展示范规划研究”(2017-XZ-43) 国家社科基金重大项目“金融风险度量的新理论与新方法及其在中国金融机构的应用研究”(14ZDB124) 国家自然科学基金青年项目“金融机构系统性风险敞口与贡献的度量及监管研究——基于金融网络视角的分析”(71703111)的资助
关键词 流动性 流动性波动 分时高频数据 买卖价差 股票预期收益 Liquidity Liquidity Volatility Time-Sharing and High-Frequency Data Bid-Ask Spread Expected Stock Returns
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