The heterogeneous volume-volatility relations in the exchange-traded fund market: Evidence from China

被引:9
作者
Xu, Liao [1 ,2 ]
Gao, Han [3 ]
Shi, Yukun [4 ]
Zhao, Yang [5 ]
机构
[1] Zhejiang Gongshang Univ, Int Business Sch, Hangzhou, Peoples R China
[2] Zhejiang Gongshang Univ, Sch Finance, Hangzhou, Peoples R China
[3] East China Univ Polit Sci & Law, Business Sch, Shanghai, Peoples R China
[4] Univ Glasgow, Adam Smith Business Sch, Glasgow, Lanark, Scotland
[5] Cent Univ Finance & Econ, Chinese Acad Finance & Dev, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Disagreement among investors; Exchange-traded funds; Liquidity trades; Market volatility; Private information; Trading volume; TIME-SERIES; REALIZED VOLATILITY; RETURN VOLATILITY; INFORMATION-FLOW; TRADING VOLUME; CROSS-SECTION; STOCK-MARKET; MODEL; HYPOTHESIS; LIQUIDITY;
D O I
10.1016/j.econmod.2019.11.019
中图分类号
F [经济];
学科分类号
02 ;
摘要
We decompose the trading volume of exchange-traded funds (ETFs) into specific components according to different triggers of trades: (i) private information, (ii) disagreement among investors due to their different opinions on public information or having different information, and (iii) investor impatience. Then we examine the particular impact of each type of ETF trade on the market volatility of the tracked index. Focusing on the three ETFs tracking the CSI 300, we show that ETF trades stemming from investor disagreement are a key determinant of CSI 300 volatility, dominating other factors considered. Liquidity ETF trades can partially explain CSI 300 volatility. However, little evidence supports a significant correlation between privately informed trades of ETFs and CSI 300 volatility.
引用
收藏
页码:400 / 408
页数:9
相关论文
共 37 条
  • [1] A Theory of Intraday Patterns: Volume and Price Variability
    Admati, Anat R.
    Pfleiderer, Paul
    [J]. REVIEW OF FINANCIAL STUDIES, 1988, 1 (01) : 3 - 40
  • [2] Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement
    Ahmed, Abdullahi D.
    Huo, Rui
    [J]. ECONOMIC MODELLING, 2019, 79 : 28 - 46
  • [3] Illiquidity and stock returns: cross-section and time-series effects
    Amihud, Y
    [J]. JOURNAL OF FINANCIAL MARKETS, 2002, 5 (01) : 31 - 56
  • [5] Disagreement and Learning: Dynamic Patterns of Trade
    Banerjee, Snehal
    Kremer, Ilan
    [J]. JOURNAL OF FINANCE, 2010, 65 (04) : 1268 - 1302
  • [6] Do ETFs Increase Volatility?
    Ben-David, Itzhak
    Franzoni, Francesco
    Moussawi, Rabih
    [J]. JOURNAL OF FINANCE, 2018, 73 (06) : 2471 - 2535
  • [7] Exchange-Traded Funds
    Ben-David, Itzhak
    Franzoni, Francesco
    Moussawi, Rabih
    [J]. ANNUAL REVIEW OF FINANCIAL ECONOMICS, VOL 9, 2017, 9 : 169 - 189
  • [8] PRICE VOLATILITY, TRADING VOLUME, AND MARKET DEPTH - EVIDENCE FROM FUTURES MARKETS
    BESSEMBINDER, H
    SEGUIN, PJ
    [J]. JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 1993, 28 (01) : 21 - 39
  • [9] Brailsford T.J., 1996, ACCOUNT FINANC, V36, P89, DOI [DOI 10.1111/J.1467629X.1996.TB00300.X, 10.1111/j.1467-629X.1996.tb00300.x, DOI 10.1111/J.1467-629X.1996.TB00300.X]
  • [10] Brooks C., 2008, Intoductory Econometrics for Finance, V2