Analysing liquidity and absorption limits of electronic markets with volume durations

References

• Ané , T and Geman , H . 2000 . Order flow, transaction clock, and normality of asset returns . J. Finan. , 55 : 2259 – 2284 .
   Web of Science ®Google Scholar
• Bauwens , L and Giot , P . 2001 . Econometric Modelling of Stock Market Intraday Activity , Boston : Kluwer Academic .
   Google Scholar
• Bauwens , L , Giot , P , Grammig , J and Veredas , D . 2004 . A comparison of financial duration models via density forecasts . Int. J. Forecast. , 20 : 589 – 609 .
   Web of Science ®Google Scholar
• Box , GEP and Cox , CR . 1964 . An analysis of transformations . J. R. statist. Soc. Ser. B , 26 : 211 – 243 .
   Google Scholar
• Carrasco , M and Chen , X . 2002 . Mixing and moment properties of various GARCH and stochastic volatility models . Economet. Theory , 18 : 13 – 19 .
   Web of Science ®Google Scholar
• Clark , PK . 1973 . A subordinated stochastic process model with finite variance for speculative prices . Econometrica , 41 : 135 – 155 .
   Web of Science ®Google Scholar
• Drost , FC and Nijman , TE . 1993 . Temporal aggregation of GARCH processes . Econometrica , 61 : 909 – 927 .
   Web of Science ®Google Scholar
• Drost , FC and Werker , BJM . 1996 . Closing the GARCH gap: continous time GARCH modeling . J. Economet. , 74 : 31 – 57 .
   Web of Science ®Google Scholar
• Dufour , A and Engle , RF . 2000 . “ The ACD-model: predictability of the time between consecutive trades ” . ISMA Centre, University of Reading . Discussion Paper
   Google Scholar
• Easley , D and O'Hara , M . 1992 . Time and the process of security price adjustment . J. Finan. , 47 : 577 – 605 .
   Web of Science ®Google Scholar
• Engle , RF . 2000 . The econometrics of ultra-high frequency data . Econometrica , 68 : 1 – 22 .
   Web of Science ®Google Scholar
• Engle , RF and Lange , J . 2001 . Predicting VNET: a model of the dynamics of market depth . J. Finan. Mkts , 4 : 113 – 142 .
   Google Scholar
• Engle , RF and Russell , JR . 1997 . Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model . J. Empir. Finan , 4 : 187 – 212 .
   Google Scholar
• Engle , RF and Russell , JR . 1998 . Autoregressive conditional duration: a new model for irregularly-spaced financial transactions data . Econometrica , 66 : 1127 – 1162 .
   Web of Science ®Google Scholar
• Engle , RF and Russell , JR . 2004 . “ Analysis of high frequency financial data ” . In Handbook of Financial Econometrics forthcoming
   Google Scholar
• Epps , TW and Epps , ML . 1976 . The stochastic dependence of security price changes and transaction volumes: implications for the mixture-of-distributions hypothesis . Econometrica , 44 : 305 – 321 .
   Web of Science ®Google Scholar
• Fernandes , M and Grammig , J . 2006 . A family of autoregressive conditional durations models . J. Economet. , 130 : 1 – 23 .
   Web of Science ®Google Scholar
• Gallant , AR , Rossi , PE and Tauchen , G . 1992 . Stock prices and volume . Rev. Finan. Stud. , 2 : 199 – 242 .
   Google Scholar
• Ghysels , E and Jasiak , J . 1998 . GARCH for irregularly spaced financial data: the ACD-GARCH model . Stud. Nonlinear Dynam. Economet. , 2 : 133 – 149 .
   Web of Science ®Google Scholar
• Hafner , CM . 2005 . Durations, volume and the prediction of financial returns in transaction time . Quant. Finan. , 5 : 145 – 152 .
   Web of Science ®Google Scholar
• Hautsch , N . 2002 . “ Modelling intraday trading activity using Box–Cox ACD models ” . CoFE . Working Paper
   Google Scholar
• Hautsch , N . 2003 . Assessing the risk of liquidity suppliers on the basis of excess demand intensities . J. Finan. Economet. , 1 : 189 – 215 .
   Google Scholar
• Hautsch , N . 2004 . Modelling Irregularly Spaced Financial Data , Heidelberg : Springer .
   Google Scholar
• Hentschel , L . 1995 . All in the family—Nesting symmetric and asymmetric GARCH models . J. Finan. Econ. , 39 : 71 – 104 .
   Web of Science ®Google Scholar
• Jones , CM , Kaul , G and Lipson , ML . 1994 . Transactions, volume, and volatility . Rev. Finan. Stud. , 7 : 631 – 651 .
   Web of Science ®Google Scholar
• Kalbfleisch , JD and Prentice , RL . 2002 . The Statistical Analysis of Failure Time Data , 2nd , New York : Wiley .
   Google Scholar
• Karpoff , JM . 1987 . The relation between price changes and volume . J. Finan. Quant. Finan. , 22 : 109 – 126 .
   Web of Science ®Google Scholar
• Kleiber , C and Kotz , S . 2003 . Statistical Size Distributions in Economics and Actuarial Sciences , New York : Wiley .
   Google Scholar
• Li , WK and Li , G . 2005 . Diagnostic checking for time series models with conditional heteroscedasticity estimated by the least absolute deviation approach . Biometrika , 92 : 691 – 701 .
   Web of Science ®Google Scholar
• Lunde , A . 2000 . “ A generalized gamma autoregressive conditional duration model ” . Aalborg University . Discussion Paper
   Google Scholar
• McDonald , JB and Xu , YJ . 1995 . A generalization of the beta distribution with applications . J. Economet. , 69 : 427 – 428 .
   Web of Science ®Google Scholar
• Meitz , M and Saikkonen , P . 2005 . “ Ergodicity, mixing, and existence of moments of a class of Markov models with applications to GARCH and ACD models ” . University of Helsinki . Working Paper
   Google Scholar
• O'Hara , M . 1997 . Market Microstructure Theory , Oxford : Blackwell .
   Google Scholar
• Russell , JR . 1999 . “ Econometric modelling of multivariate irregularly-spaced high frequency data ” . University of Chicago . Working Paper
   Google Scholar
• Tauchen , GE and Pitts , M . 1983 . The price variability–volume relationsship on speculative markets . Econometrica , 51 : 485 – 502 .
   Web of Science ®Google Scholar
• Winkelmann , R . 1998 . Econometric Analysis of Count Data , 2nd , Heidelberg : Springer .
   Google Scholar