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

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  • Tetsuya Takaishi
  • Ting Ting Chen

Abstract

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.

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  • Tetsuya Takaishi & Ting Ting Chen, 2017. "The relationship between trading volumes, number of transactions, and stock volatility in GARCH models," Papers 1712.06263, arXiv.org.
    • Handle: RePEc:arx:papers:1712.06263
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    File URL: http://arxiv.org/pdf/1712.06263
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    Cited by:

    1. Olkhov, Victor, 2020. "Volatility Depend on Market Trades and Macro Theory," MPRA Paper 102434, University Library of Munich, Germany.
    2. Olkhov, Victor, 2020. "Price, Volatility and the Second-Order Economic Theory," MPRA Paper 102767, University Library of Munich, Germany.

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