Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index)

This research explores the causality model between trading volume, bid-ask spread, and stock return volatility in the business index-27. Utilizing historical data, Granger causality analysis is employed to determine the direction and strength of the relationships between these variables. The findings reveal significant causal relationships among trading volume, bid-ask spread, and stock return volatility. These findings offer valuable insights into understanding stock market dynamics and their implications for investment decision-making. Moreover,This article contains an analysis of the relationship between stock trading variables within the scope of two main hypothesis namely the mixture of distribution hypothesis (MDH) and the sequential information arrival hypothesis (SIAH). The calculation results identify that for most stocks there is a one way Granger causality relationship between trading volume and return volatility, which is not sufficient evidence to support the MDH theory.

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Publication Details

Journal
JURNAL SINTAK
Published
2024-09-27
DOI
https://doi.org/10.62375/jsintak.v3i1.317
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index)

Eko Sulistyono, Agusyarif Rezka Nuha, Mochammad Rozikin, Arfatuz Zaqiyah et al.
JURNAL SINTAK
Stock Market Forecasting Methods
article

Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index)

Eko Sulistyono, Agusyarif Rezka Nuha, Mochammad Rozikin, Arfatuz Zaqiyah, Moh. Shohibul Wafa, Andi Agung
article en

Abstract

This research explores the causality model between trading volume, bid-ask spread, and stock return volatility in the business index-27. Utilizing historical data, Granger causality analysis is employed to determine the direction and strength of the relationships between these variables. The findings reveal significant causal relationships among trading volume, bid-ask spread, and stock return volatility. These findings offer valuable insights into understanding stock market dynamics and their implications for investment decision-making. Moreover,This article contains an analysis of the relationship between stock trading variables within the scope of two main hypothesis namely the mixture of distribution hypothesis (MDH) and the sequential information arrival hypothesis (SIAH). The calculation results identify that for most stocks there is a one way Granger causality relationship between trading volume and return volatility, which is not sufficient evidence to support the MDH theory.

JURNAL SINTAKVol. 3(1)
Universitas Batam (ID), Universitas Pesantren Tinggi Darul Ulum Jombang (ID), State University of Gorontalo (ID)
Openalex Percentile: Top 80%
Stock Market Forecasting Methods
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Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index) — Eko Sulistyono, Agusyarif Rezka Nuha, et al. · JURNAL SINTAK (2024) | TGRS Research Map | TGRS