Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets

Stock price change in financial market occurs through transactions, in analogy with diffusion in stochastic physical systems. The analysis of price changes in real markets shows that long-range correlations of price fluctuations largely depend on the number of transactions. We introduce the multipli...

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Main Author: V. Gontis
Format: Article
Language:English
Published: Vilnius University Press 2002-06-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15201
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author V. Gontis
author_facet V. Gontis
author_sort V. Gontis
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description Stock price change in financial market occurs through transactions, in analogy with diffusion in stochastic physical systems. The analysis of price changes in real markets shows that long-range correlations of price fluctuations largely depend on the number of transactions. We introduce the multiplicative stochastic model of time interval between trades and analyze spectral density and correlations of the number of transactions. The model reproduces spectral properties of the real markets and explains the mechanism of power law distribution of trading activity. Our study provides an evidence that statistical properties of financial markets are enclosed in the statistics of the time interval between trades. Multiplicative stochastic diffusion may serve as a consistent model for this statistics.
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spelling doaj.art-d2cbf37f791340878be351fa09e4d0892022-12-22T03:06:13ZengVilnius University PressNonlinear Analysis1392-51132335-89632002-06-017110.15388/NA.2002.7.1.15201Multiplicative Stochastic Model of the Time Interval between Trades in Financial MarketsV. Gontis0Institute of Theoretical Physics and Astronomy, Lithuania Stock price change in financial market occurs through transactions, in analogy with diffusion in stochastic physical systems. The analysis of price changes in real markets shows that long-range correlations of price fluctuations largely depend on the number of transactions. We introduce the multiplicative stochastic model of time interval between trades and analyze spectral density and correlations of the number of transactions. The model reproduces spectral properties of the real markets and explains the mechanism of power law distribution of trading activity. Our study provides an evidence that statistical properties of financial markets are enclosed in the statistics of the time interval between trades. Multiplicative stochastic diffusion may serve as a consistent model for this statistics.http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15201statistical analysisfinancial marketsstochastic modelling
spellingShingle V. Gontis
Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
Nonlinear Analysis
statistical analysis
financial markets
stochastic modelling
title Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
title_full Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
title_fullStr Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
title_full_unstemmed Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
title_short Multiplicative Stochastic Model of the Time Interval between Trades in Financial Markets
title_sort multiplicative stochastic model of the time interval between trades in financial markets
topic statistical analysis
financial markets
stochastic modelling
url http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15201
work_keys_str_mv AT vgontis multiplicativestochasticmodelofthetimeintervalbetweentradesinfinancialmarkets