Abstract
The purpose of this study is to analyze the relationship between sector indices of Borsa Istanbul in Turkey and trading volume in the framework of Mixture of Distribution Hypothesis (MDH) by using daily data covering period 23.10.1987–26.01.2017. As a model, GARCH model is used. The results of the GARCH (1,1) suggests that Borsa Istanbul sector indices show strong persistence. The findings are consistent with MDH suggesting the existence of positive volume–volatility relationships. When trading volume is added to the variance equation, the model shows the existence of a positive and statistically significant relationships between trading volume and the volatility of the sector indices suggesting that the number of information events makes the variability of the sector indices to increase. The volatility persistence also decreases in the case that the variance equation covers the volume data.
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Key Concepts and Words
- Stock Market
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The stock market refers to the collection of markets and exchanges where equities and other sorts of securities are issued and traded.
- Trading Volume
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The number of shares that are transacted every day.
- GARCH
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The generalized autoregressive conditional heteroskedasticity (GARCH) process which is used to estimate volatility in financial markets
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Kapusuzoglu, A., Ceylan, N.B. (2018). Trading Volume, Volatility and GARCH Effects in Borsa Istanbul. In: Dincer, H., Hacioglu, Ü., Yüksel, S. (eds) Strategic Design and Innovative Thinking in Business Operations. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-319-77622-4_17
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