The Relationship between the Wheat Market and the Financial Market in Malaysia Using a Dynamic Conditional Correlation Model (DCC-GARCH)

The research aims to identify the nature of the dynamic relationship between the returns of the wheat market (RPW) and the returns of the general index of the Malaysia financial market (RISX), and to verify the transmission of shocks and volatility between the returns of both markets during the monthly period from (1/1/2004) to (31/10/2024). Using the Dynamic Conditional Correlation GARCH (DCC-GARCH) model, the results showed an inverse relationship between the returns of both markets, with the correlation sensitivity reaching (–0.08%). This indicates a weak ratio, suggesting that diversifying the portfolio in both markets may increase gains to some extent. The predictive results indicated a positive correlation, which is also weak. As it refers to sensitivity to returns in both markets for dynamic changes that occur over time, there may not be an opportunity to achieve diversification when prices are imbalanced and to achieve returns in these markets. Therefore, the weak correlation between the returns of both markets indicates a decrease in their integration. The research recommended the need to increase the openness of the Malaysian securities market and to enhance its informational efficiency and transparency to increase the capacity and smoothness of the flow of information to and from the financial market.

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Institutions

Publication Details

Journal
Research on World Agricultural Economy
Published
2025-02-06
DOI
https://doi.org/10.36956/rwae.v6i1.1480
Citations
7
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
33.83
Controls
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article

The Relationship between the Wheat Market and the Financial Market in Malaysia Using a Dynamic Conditional Correlation Model (DCC-GARCH)

Abdulrazaq Shabeeb, Faisal Ghazi Faisal, Wisam H. Ali Al-Anezi, Ali Y. Abdullah Al-Joaani et al.
7 citations
Research on World Agricultural Economy
Agricultural Economics and Practices
33.83
article

The Relationship between the Wheat Market and the Financial Market in Malaysia Using a Dynamic Conditional Correlation Model (DCC-GARCH)

Abdulrazaq Shabeeb, Faisal Ghazi Faisal, Wisam H. Ali Al-Anezi, Ali Y. Abdullah Al-Joaani, Faez Hlail Srayyih
article en
7 citations

Abstract

The research aims to identify the nature of the dynamic relationship between the returns of the wheat market (RPW) and the returns of the general index of the Malaysia financial market (RISX), and to verify the transmission of shocks and volatility between the returns of both markets during the monthly period from (1/1/2004) to (31/10/2024). Using the Dynamic Conditional Correlation GARCH (DCC-GARCH) model, the results showed an inverse relationship between the returns of both markets, with the correlation sensitivity reaching (–0.08%). This indicates a weak ratio, suggesting that diversifying the portfolio in both markets may increase gains to some extent. The predictive results indicated a positive correlation, which is also weak. As it refers to sensitivity to returns in both markets for dynamic changes that occur over time, there may not be an opportunity to achieve diversification when prices are imbalanced and to achieve returns in these markets. Therefore, the weak correlation between the returns of both markets indicates a decrease in their integration. The research recommended the need to increase the openness of the Malaysian securities market and to enhance its informational efficiency and transparency to increase the capacity and smoothness of the flow of information to and from the financial market.

Research on World Agricultural Economy
University of Anbar (IQ), Ministry of Finance (JP)
Openalex Percentile: Top 0%
Agricultural Economics and Practices
33.83
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The Relationship between the Wheat Market and the Financial Market in Malaysia Using a Dynamic Conditional Correlation Model (DCC-GARCH) — Abdulrazaq Shabeeb, Faisal Ghazi Faisal, et al. · Research on World Agricultural Economy (2025) | TGRS Research Map | TGRS