Analyzing interconnections between national stock exchange India and global markets using data analytics

<span>Financial networks have become increasingly complex and interconnected in the global economy. In this context, use of data analytics has emerged as a valuable tool for understanding analyzing relationships between different financial markets. This paper presents study using Pearson partial correlation analysis to explore interconnections National Stock Exchange India (NSEI) stock The aims provide insights into dynamics patterns or cross-markets interactions identify potential opportunities investment risk management that considering world’s 43 major indices based on imports exports. historical from 1<sup>st</sup> January 2008 30<sup>th</sup> June 2022 was obtained public domain. study, Python framework developed investigate correlation-based results showed these two types are significantly each other. Furthermore, discovered NSEI is closely connected Singapore market integrated with other These findings emphasize complexities important implications investors policymakers.</span>