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Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks


Kurt Brannas


University of Umea - Department of Economics

Shahiduzzaman Quoreshi


Tillväxtanalys (Swedish Agency for Growth Policy Analysis)

May 6, 2004

Umea Economic Studies Working Paper No. 637

Abstract:     
The integer-valued moving average model is advanced to model the number of transactions in intra-day data of stocks. The conditional mean and variance properties are discussed and model extensions to include, e.g., explanatory variables are offered. Least squares and generalized method of moment estimators are presented. In a small Monte Carlo study the least squares estimator comes out as the best choice. Empirically we find support for the use of long-lag moving average models in a Swedish stock series. News about prices are found to exert a symmetric and positive effect on the number of transactions.

Number of Pages in PDF File: 24

Keywords: Count data, intra-day, high frequency, time series, estimation, finance

JEL Classification: C13, C22, C25, C51, G12, G14

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Date posted: May 7, 2004  

Suggested Citation

Brannas, Kurt and Quoreshi, Shahiduzzaman, Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks (May 6, 2004). Umea Economic Studies Working Paper No. 637. Available at SSRN: http://ssrn.com/abstract=540922 or http://dx.doi.org/10.2139/ssrn.540922

Contact Information

Kurt Brannas (Contact Author)
University of Umea - Department of Economics ( email )
Umea University
Department of Economics
SE-90187 Umea
Sweden
+46-90-786 6101 (Phone)
+46-90-772302 (Fax)
Shahiduzzaman Quoreshi
Tillväxtanalys (Swedish Agency for Growth Policy Analysis) ( email )
Box 4
SE-831 40 Östersund
Sweden
Feedback to SSRN (Beta)


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