Volatility Spillovers Between Financial Asset and Commodity Prices: Evidence from Türkiye

This study examines volatility spillover effects among key commodities, the USD/TRY exchange rate, and the Borsa Istanbul (XU100) using CCC-GARCH and DCC-GARCH models to overcome ARCH model limitations. Analyzing daily data from 2010 to 2023, the results reveal significant short-term volatility clustering, especially influenced by recent price shocks. Long-term spillovers are notable, with persistent volatility connections indicated by high GARCH terms. Correlation analysis shows moderate positive correlations between Gold and Silver with XU100, while Crude Oil and Natural Gas exhibit weak correlations, suggesting limited short-term spillovers. A significant negative correlation exists between USD_TRY and XU100, highlighting the complex relationship between currency and stock market volatility. Overall, short-term spillovers are weak, but long-term relationships show strong persistence, especially regarding USD_TRY and Natural Gas. These findings stress the importance of nuanced volatility-based trading strategies during market turbulence and suggest that fund managers should consider investor behavior and biases when building portfolios.

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Publication Details

Journal
Uluslararası Sosyal ve Ekonomik Çalışmalar Dergisi
Published
2024-12-29
DOI
https://doi.org/10.62001/gsijses.1566592
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
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article

Volatility Spillovers Between Financial Asset and Commodity Prices: Evidence from Türkiye

Mert Ural, Emmanuel Dweh Togba
1 citations
Uluslararası Sosyal ve Ekonomik Çalışmalar Dergisi
Market Dynamics and Volatility
1.13
article

Volatility Spillovers Between Financial Asset and Commodity Prices: Evidence from Türkiye

Mert Ural, Emmanuel Dweh Togba
article en
1 citations

Abstract

This study examines volatility spillover effects among key commodities, the USD/TRY exchange rate, and the Borsa Istanbul (XU100) using CCC-GARCH and DCC-GARCH models to overcome ARCH model limitations. Analyzing daily data from 2010 to 2023, the results reveal significant short-term volatility clustering, especially influenced by recent price shocks. Long-term spillovers are notable, with persistent volatility connections indicated by high GARCH terms. Correlation analysis shows moderate positive correlations between Gold and Silver with XU100, while Crude Oil and Natural Gas exhibit weak correlations, suggesting limited short-term spillovers. A significant negative correlation exists between USD_TRY and XU100, highlighting the complex relationship between currency and stock market volatility. Overall, short-term spillovers are weak, but long-term relationships show strong persistence, especially regarding USD_TRY and Natural Gas. These findings stress the importance of nuanced volatility-based trading strategies during market turbulence and suggest that fund managers should consider investor behavior and biases when building portfolios.

Uluslararası Sosyal ve Ekonomik Çalışmalar DergisiVol. 5(2)
Dokuz Eylül Üniversitesi Hastanesi (TR)
Decent work and economic growth
Openalex Percentile: Top 10%
Market Dynamics and Volatility
1.13
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