ARCH effects, trading volume and the information flow interpretation: empirical evidence from the Chinese stock markets

References

• Andersen , TG . 1996 . Return volatility and trading volume: An information flow interpretation of stochastic volatility . Journal of Finance , 51 : 169 – 204 .
   Web of Science ®Google Scholar
• Bessembinder , H , Chan , K and Segiun , PJ . 1996 . An empirical examination of information, differences of opinion, and trading activity . Journal of Financial Economics , 40 : 105 – 34 .
   Web of Science ®Google Scholar
• Blume , M.E. , MacKinlay , C. and Terker , B. 1989 . Order imbalances and stock price movements on October 19 and 20, 1987 . Journal of Finance , 44 : 827 – 48 .
   Web of Science ®Google Scholar
• Bollerslev , T . 1986 . Generalized autoregressive conditional heteroskedasticity . Journal of Econometrics , 31 : 307 – 27 .
   Web of Science ®Google Scholar
• Bollerslev , T and Wooldridge , JM . 1992 . Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances . Econometric Review , 11 : 143 – 72 .
   Google Scholar
• Campbell , JY , Grossman , SJ and Wang , J . 1993 . Trading volume and serial correlation in stock returns . Quarterly Journal of Economics , 108 : 905 – 39 .
   Web of Science ®Google Scholar
• Chen , S . 2003 . Diagnosis and treatment: Revealing the stock market of China (in Chinese) , Beijing, China : Economic Science Press .
   Google Scholar
• Clark , PK . 1973 . A subordinate stochastic process model with finite variance for speculative prices . Econometrica , 41 : 135 – 55 .
   Web of Science ®Google Scholar
• Diebold , FX . 1986 . Modeling the persistence of conditional variances: A comment . Econometric Reviews , 5 : 51 – 6 .
   Google Scholar
• Engle , RF , Hendry , DF and Richard , JF . 1983 . Exogeneity . Econometrica , 51 : 277 – 304 .
   Web of Science ®Google Scholar
• Espejel , R . 1997. Endogeneity of time between stock price movements and asymmetry of price transactions: an empirical assessment. UC Berkeley Working Paper, USA
   Google Scholar
• Fama , E.F. 1989 . “ Perspectives on October 1987, or What did we learn from the crash? ” . In Black Monday and the Future of the Financial Markets , Edited by: Kamphuis , R.W. Homewood , IL : Irwin .
   Google Scholar
• Fleming , J , Kirby , C and Ostdiek. , B . 2005. ARCH effects and trading volume. Rice University and Clemson University Working Paper, USA
   Google Scholar
• Fleming , J , Kirby , C and Ostdiek , B . 2006 . Stochastic volatility, trading volume, and the daily flow of information . Journal of Business , 79 : 1551 – 90 .
   Web of Science ®Google Scholar
• Fleming , J , Kirby , C and Ostdiek , B . 2008 . The specification of GARCH models with stochastic covariates . Journal of Futures Markets , 28 : 911 – 34 .
   Web of Science ®Google Scholar
• French , KR and Roll , R . 1986 . Stock return variance: The arrival of information and the reaction of traders . Journal of Financial Economics , 17 : 5 – 26 .
   Web of Science ®Google Scholar
• Gallant , AR , Rossi , PE and Tauchen , G . 1992 . Stock prices and volume . Review of Financial Studies , 5 : 199 – 242 .
   Web of Science ®Google Scholar
• Greenwald , B.C. and Stein , J.C. 1991 . Transactional risk, market crashes, and the role of circuit breakers . Journal of Business , 64 : 443 – 62 .
   Web of Science ®Google Scholar
• Hodrick , RJ and Prescott , EC . 1997 . Post-war US business cycles: An empirical investigation . Journal of Money, Credit and Banking , 29 : 1 – 16 .
   Web of Science ®Google Scholar
• Karpoff , JM . 1987 . The relation between price changes and trading volume: A survey . Journal of Financial and Quantitative Analysis , 22 : 109 – 26 .
   Web of Science ®Google Scholar
• Kuhn , B.A. , Kurserk , G.J. and Locke , P. 1991 . Do circuit breakers moderate volatility? Evidence from October 1989 . Review of Futures Markets , 10 : 136 – 75 .
   Google Scholar
• Kyle , A.S. 1988 . Trading halts and price limits . Review of Futures Markets , 7 : 426 – 34 .
   Google Scholar
• Lamoureux , CG and Lastrapes , WD . 1990 . Heteroskedasticity in stock return data: Volume versus GARCH effects . Journal of Finance , 45 : 221 – 9 .
   Web of Science ®Google Scholar
• Lehmann , B.N. 1989 . Commentary: Volatility, price resolution, and the effectiveness of price limits . Journal of Financial Services Research , 3 : 205 – 09 .
   Web of Science ®Google Scholar
• Lo , AW and Wang , J . 2000 . Trading volume: Definitions, data analysis and implications of portfolio theory . Review of Financial Studies , 13 : 257 – 300 .
   Web of Science ®Google Scholar
• Madhavan , A . 2000 . Market microstructure: A survey . Journal of Financial Markets , 3 : 205 – 58 .
   Google Scholar
• Omran , MF and McKenzie , E . 2000 . Heteroskedasticity in stock returns data revisited: Volume versus GARCH effects . Applied Financial Economics , 10 : 553 – 60 .
   Google Scholar
• Stock , JH . 1987 . Measuring business cycle time . Journal of Political Economy , 95 : 1240 – 61 .
   Web of Science ®Google Scholar
• Stock , JH . 1988 . Estimating continuous time processes subject to time deformation . Journal of the American Statistical Association , 83 : 77 – 85 .
   Web of Science ®Google Scholar
• Tauchen , GE and Pitts , M . 1983 . The price variability-volume relationship on speculative markets . Econometrica , 51 : 485 – 506 .
   Web of Science ®Google Scholar
• Wagner , N and Marsh , T . 2005 . Surprise volume and heteroskedasticity in equity market returns . Quantitative Finance , 5 : 153 – 68 .
   Web of Science ®Google Scholar
• Wang , P , Wang , P and Liu , A . 2005 . Stock return volatility and trading volume: Evidence from the Chinese stock market . Journal of Chinese Economic and Business Studies , 3 : 39 – 54 .
   Google Scholar
• ARCH Wang, R. 2007. Return volatility . effects and trading volume: An empirical study on the Chinese stock market within the MDH framework. Unpublished PhD thesis, School of Management, University of Surrey, UK
   Google Scholar