WANG Chun-feng, GONG Lan-jie, FANG Zhen-ming. An Empirical Study of Asymmetric Volatility of Chinese Stock Market Based on Different Liquidity[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2008, 21(2): 5-7.
Citation:
WANG Chun-feng, GONG Lan-jie, FANG Zhen-ming. An Empirical Study of Asymmetric Volatility of Chinese Stock Market Based on Different Liquidity[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2008, 21(2): 5-7.
WANG Chun-feng, GONG Lan-jie, FANG Zhen-ming. An Empirical Study of Asymmetric Volatility of Chinese Stock Market Based on Different Liquidity[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2008, 21(2): 5-7.
Citation:
WANG Chun-feng, GONG Lan-jie, FANG Zhen-ming. An Empirical Study of Asymmetric Volatility of Chinese Stock Market Based on Different Liquidity[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2008, 21(2): 5-7.
Asymmetric volatility of return of financial asset has been studied by many scho lars by using GACH model, but less from the view of high frequent data and liqui dity difference. This paper attempts to analyse asymmetric volatility of Chinese stock market based on different liquidity using 5-minute data. Empirical resul ts show that good news can increase the volatility and bad news can reduce the v olatility for stocks with good liquidity, while good news can reduce the volatil ity and bad news can increase the volatility for stocks with bad liquidity.
Black. Studies of Stock Market Volatility Changes . Proce edings of the American Statistical Association Business and Economic Statistics Section . Washington: American Statistical Association, 1976. 177-181.
[2]
Nelson D B. Conditional Heteroskedasticity in Asset Returns: A New Ap proach[J]. Econometrica, 1991, 59(2): 347-370.
[3]
Campbell J Y, Hentschel L. No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns[J]. Journal of Financial Economics, 1 992,(31): 281-318.
[4]
Avramov D, Chordia T, Goyal A. The Impact of Trades on Daily Volatil ity[J]. Review of Financial Studies, 2006, 19(4).
[5]
Jones C, Kaul G, Lipson M. Transactions, Volume and Volatility[J]. Review of Financial Studies, 1994, (7): 631-652.
[6]
Chan K, Fong W M. Trade Size, Order Imbalance and the Volatility-vo lume Relation[J]. Journal of Financial Economics, 2000,(57): 247-273.
[7]
Lamoureux C G, Lastrapes W D. Heteroskedasticity in Stock Return Data: V olum Versus Garch Effects[J]. Journal of Finance, 1990,(45): 221-229.
[8]
Bessembinder H, Seguin P. Futures-trading Activity and Stock Price Volatility[J]. Journal of Finance, 1992, (47): 2015-2034.
[9]
Bessembinder H, Seguin P. Price Volatility, Trading Volume, Market D epth: Evidence From Futures Markets[J]. Journal of Financial and Quantitative Analysis, 1993, (28): 21-24.
[10]
Amihud Yakov, Mendelso H. Asset Pricing and Bid-ask Spread[J]. Journal of Financial Economics, 1986,(17): 223-250.
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