Interconnectedness and Spillover Effects amongst Stock Markets of the US, China, Germany, Japan and India using DCC-GARCH Model and Diebold Yilmaz Method

In a rapidly globalising world, economic boundaries are dissolving as stakeholders seek broader opportunities. Corporations are now multinational, and investors are increasingly turning to global stock markets to maximise gains. Volatility serves as a crucial benchmark, guiding investment decisions in this interconnected landscape. The current study looks at the time-varying spillover effects of the returns of the indices from January 6, 2020, until March 15, 2024, of the five economies of the world, namely, the S&P (United States), SSE (China), Nikkei (Japan), DAX (Germany), and Nifty (India). The conditional correlations and volatility spillovers are measured using the DCC-GARCH model and the Diebold and Yilmaz method. The study concludes that the transmission of information between the indices occurs in the long run except between Germany and China. Further, Germany and the US are net transmitters of volatility spillover, while China, Japan, and India are net receivers. The total spillover among the indices of these five economies is 39.37%.

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Publication Details

Journal
Colombo Business Journal International Journal of Theory and Practice
Published
2024-12-31
DOI
https://doi.org/10.4038/cbj.v15i2.197
Citations
3
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
1.47
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article

Interconnectedness and Spillover Effects amongst Stock Markets of the US, China, Germany, Japan and India using DCC-GARCH Model and Diebold Yilmaz Method

Akshay Agarwal, Sunita Mehla, Nidhi Dhankhar
3 citations
Colombo Business Journal International Journal of Theory and Practice
Stock Market Forecasting Methods
1.47
article

Interconnectedness and Spillover Effects amongst Stock Markets of the US, China, Germany, Japan and India using DCC-GARCH Model and Diebold Yilmaz Method

Akshay Agarwal, Sunita Mehla, Nidhi Dhankhar
article en
3 citations

Abstract

In a rapidly globalising world, economic boundaries are dissolving as stakeholders seek broader opportunities. Corporations are now multinational, and investors are increasingly turning to global stock markets to maximise gains. Volatility serves as a crucial benchmark, guiding investment decisions in this interconnected landscape. The current study looks at the time-varying spillover effects of the returns of the indices from January 6, 2020, until March 15, 2024, of the five economies of the world, namely, the S&P (United States), SSE (China), Nikkei (Japan), DAX (Germany), and Nifty (India). The conditional correlations and volatility spillovers are measured using the DCC-GARCH model and the Diebold and Yilmaz method. The study concludes that the transmission of information between the indices occurs in the long run except between Germany and China. Further, Germany and the US are net transmitters of volatility spillover, while China, Japan, and India are net receivers. The total spillover among the indices of these five economies is 39.37%.

Colombo Business Journal International Journal of Theory and PracticeVol. 15(2)
Partnerships for the goals
Openalex Percentile: Top 15%
Stock Market Forecasting Methods
1.47
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Interconnectedness and Spillover Effects amongst Stock Markets of the US, China, Germany, Japan and India using DCC-GARCH Model and Diebold Yilmaz Method — Akshay Agarwal, Sunita Mehla, et al. · Colombo Business Journal International Journal of Theory and Practice (2024) | TGRS Research Map | TGRS