Intraday Seasonality in Analysis of UHF Financial Data: Models and Their Empirical Verification
DOI:
https://doi.org/10.12775/DEM.2009.013Keywords
financial UHF data, intraday seasonality, diurnal pattern, cubic splines, kernel estimationAbstract
The aim of this paper is to outline the typical characteristics of the ultra-highfrequency financial data and to present estimation methods of intraday seasonality of trading activity. Ultra-high-frequency financial data (transactions data or tick-by-tick data) is defined to be a full record of transactions and their associated characteristics. We consider two nonparametric estimation methods: cubic splines and a Nadaraya-Watson kernel estimator of regression. Both approaches are compared empirically and applied to financial data of stocks traded at the Warsaw Stock Exchange.
References
Bauwens, L., Giot, P. (2000), The Logarithmic ACD Model: An Application to the Bid-ask Quote Process of Three NYSE Socks, Annales d’Économie et de Statistique, 60, 117–149.
Bauwens, L., Giot, P. (2001), Econometric Modelling of Stock Market Intraday Activity, Kluwer Academic Publishers, Boston. DOI: http://dx.doi.org/10.1007/978-1-4757-3381-5
Bauwens, L., Giot, P. (2002), Asymmetric ACD Models: Introducing Price Information in ACD Models, CORE Discussion Paper 9844.
Bauwens, L., Veredas, D. (2004), The Stochastic Conditional Duration Model: A Latent Variable Model for the Analysis of Financial Durations, Journal of Econometrics, 119, 381–412.
Bień, K. (2006), Model ACD – podstawowa specyfikacja i przykład zastosowania (ACD Model – Basic Specification and Example of Application), Przegląd Statystyczny (Statistical Survey), t.53, z. 3, 83-97.
Dacorogna, M. M., Gençay, R., Müller, U., Olsen, R. B., Pictet, O. V. (2001), An Introduction to High-Frequency Finance, Academic Press, San Diego.
Doman, M., Doman, R. (2004), Ekonometryczne modelowanie dynamiki polskiego rynku finansowego (Econometric Modelling of Dynamics of Polish Financial Market), Wydawnictwo AE w Poznaniu, Poznań.
Engle, R. F., Russell, J. R. (1997), Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data, Econometrica, 66, 1127–1162.
Hautsch N. (2004), Modelling Irregularly Spaced Financial Data, Springer-Verlag, Berlin, Heidelberg.
O’Hara, M. (1995), Market Microstructure Theory, Blackwell Inc., Oxford.
Osińska, M. (2006), Ekonometria finansowa (Financial Econometrics), PWE, Warszawa.
Tsay, R.S. (2002), Analysis of Financial Time Series, Wiley Series in Probability and Statistics, John Wiley& Sons, New York. DOI: http://dx.doi.org/10.1002/0471746193
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