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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41654
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The international financial markets are increasingly interconnected, and each stock index affects others based on economic linkages, sentiment, and capital flows. The current study explores the spillover relationship between NIFTY50 and six major global stock indices: KOSPI (South Korea), HK50 (Hong Kong), FTSE (United Kingdom), NIKKEI225 (Japan), SSEC (China), and TSEC50 (Taiwan). These relationships are important for investors, policymakers, and financial economists to understand market integration and risk diversification approaches. Through statistical methods, the study establishes the significance of these relations with hypothesis testing and variance inflation factor (VIF) test. Findings yield KOSPI, HK50, FTSE, NIKKEI225, and TSEC50 to have a significant relationship with NIFTY50 but not SSEC index. That indicates that Shanghai Composite Index does not rely on the Indian stock market, and that could be due to structural differences, regulatory barriers, or other economic fundamentals of the two economies. Furthermore, the multicollinearity test also reveals that most of the indices possess a variance inflation factor of below the cut-off value of 10 except for TSEC50, whose VIF is nearly 18, demonstrating too much correlation with NIFTY50. Strong multicollinearity demonstrates that TSEC50 can be prone to distorting regression estimates and model specification must be undertaken carefully in order to make correct inferences. These findings add to overall stock market integration literature through their provision of precise evidence on the spillover effect between NIFTY50 and a few foreign indices. The findings have implications for diversification of portfolios as investors would consider correlations between these indices when making investment decisions. These findings can also be employed by policymakers in order to observe how developments across the world impact the stability of domestic finance.
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Publication Date
2/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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