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Performance Evaluation of the ACD Models for Analysing the Transaction Data of the KOSPI Stocks
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 Title & Authors
Performance Evaluation of the ACD Models for Analysing the Transaction Data of the KOSPI Stocks
Kim, Sahm; Jung, Da-Woon;
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Engle and Russell (1998) proposed the ACD(Autoregressive Conditional Duration) model to explain the relationship between the prices and the duration times of the stocks. In this paper, we first introduce the various types of the ACD models such as the linear ACD, log ACD and Box-Cox ACD models and we evaluate the performance of the models for analysing the transaction data of the stocks in Korea.
ACD model;price duration;Box-Cox transformation;shocks impact curve;
 Cited by
Bauwens, L. and Giot, P. (2000). The logarithmic ACD model: An application to the bid-ask quote process of three NYSE stocks, Annales d'Economie et de Statistique, 60, 117-150

Bauwens, L. and Veredas, D. (2004). The Stochastic Conditional Duration Model: A Latent Factor Model for the Analysis of Financial Durations. Journal of Econometrics, 119, 381-412 crossref(new window)

Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31, 307-327 crossref(new window)

Dufour, A. and Engle, R. F. (2000). The ACD model: Predictability of the the time between consecutive trades, University of Reading and University of California at San Diego

Engle, R. F. and Russell, J. R. (1998). Autoregressive conditonal duration: A new model for irregularly-spaced transaction data, Econometrica, 66, 1127-1162 crossref(new window)

Fernandes, M. and Grammig, J. (2006). A family of autoregressive conditional duration models, Journal of Econometrics, 130, 1-23 crossref(new window)

Ghysels, E. and Gourieroux, C. and Jasiak, J. (2004). Stochastic Volatility Duration models, Journal of Econometrics, 119, 413-433 crossref(new window)

Giot. P. (2000). Time transformations, intraday data and volatility models, Journal of Computational Finance, 4, 31-62

Hentchel, L. (1995). All in the family: Nesting symmetric and asymmetric GARCH models, Journal of Financial Econometrics, 39, 71-104 crossref(new window)

Prigent, J. -L. and Renault. O. and Scaillet, O. (2001). An Autoregressive Conditional Binomial Option Pricing Model. In: Geman, H., Madan, D., Pliska, S., Vorst, T. (Eds.), Selected Papers from the First World Congress of the Bachelier Finance Society, Springer, Heidelberg

Zhang, M. Y. and Russell, J. R. and Tsay, R. S. (2001). A Nonlinear Autoregressive Conditional Duration Model with Applications to Financial Transaction Data, Journal of Econometrics, 104, 179-207 crossref(new window)