Real - Time Risk Monitoring with Big Data Analytics for Derivatives Portfolios
Abstract: The inherent complexity of derivatives portfolios, coupled with rapidly fluctuating market conditions, demands comprehensive, real - time risk monitoring solutions. This paper explores the cutting - edge role of big data analytics within the fintech landscape, demonstrating how such technologies empower financial institutions to gain unprecedented visibility into derivatives positions. By harnessing big data, risk managers can identify emerging risks proactively, make informed decisions more quickly, and achieve greater agility in dynamic markets. We'll examine the specific challenges of traditional risk monitoring approaches, how big data solutions address these limitations, and explore case studies of successful implementations.
Keywords: Derivatives, Big Data Analytics, Risk Management, Fintech, Machine Learning, Real - time Risk Monitoring, Cloud Computing
How to Cite?: Nikhil Jarunde, "Real - Time Risk Monitoring with Big Data Analytics for Derivatives Portfolios", Volume 12 Issue 9, September 2023, International Journal of Science and Research (IJSR), Pages: 2185-2189, https://www.ijsr.net/getabstract.php?paperid=SR24517154713, DOI: https://dx.doi.org/10.21275/SR24517154713