The relationship between trading volumes, number of transactions, and stock volatility in GARCH models

5th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Takaishi, Tetsuya^1 ; Chen, Ting Ting^2

Hiroshima University of Economics, Hiroshima

731-0192, Japan^1

Faculty of Integrated Arts and Sciences, Hiroshima University, Higashi-Hiroshima

739-8521, Japan^2

关键词: GARCH models;    Generalized autoregressive conditional heteroscedasticity;    Information arrival;    Mixture of distributions;    Stock data;    Tokyo Stock Exchange;    Trading volumes;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/738/1/012097/pdf
DOI  :  10.1088/1742-6596/738/1/012097

来源: IOP

【 摘 要 】

We examine the relationship between trading volumes, number of transactions, and volatility using daily stock data of the Tokyo Stock Exchange. Following the mixture of distributions hypothesis, we use trading volumes and the number of transactions as proxy for the rate of information arrivals affecting stock volatility. The impact of trading volumes or number of transactions on volatility is measured using the generalized autoregressive conditional heteroscedasticity (GARCH) model. We find that the GARCH effects, that is, persistence of volatility, is not always removed by adding trading volumes or number of transactions, indicating that trading volumes and number of transactions do not adequately represent the rate of information arrivals.