- Thursday, Apr 2nd, 2026
| TITLE | Big Data–Driven Approaches to Stock Market Risk Assessment |
|---|---|
| ABSTRACT | In an era of economic globalization, the stock market has emerged as a crucial barometer for assessing a nation's economic progress. With the swift advancements in information technology, the application of big data has gained significant traction in the financial sector. Big data analytics enable investors and financial managers to evaluate market risks with greater precision and make more informed decisions. Nevertheless, the inherent unpredictability and complexity of the stock market pose significant challenges to accurate risk evaluation. This study delves into the application of big data methodologies for evaluating risks in the stock market. It involves an extensive analysis of various market data, such as stock prices, transaction volumes, news updates, and social media sentiments, to forecast market directions and identify potential risks. This research utilizes an in-depth literature review and analysis to investigate the role of big data technologies in increasing the accuracy of assessing stock market risks. It delves into a wide array of indices and individual stocks within a defined timeframe. An exhaustive review of pertinent literature reveals that big data technologies play a crucial role in enhancing the precision of risk evaluations in the stock market. The methodology not only sheds light on the theoretical foundations but also highlights the practical benefits, demonstrating the essential influence of big data on the management of financial risks with social media sentiment analysis showing notable efficacy in forecasting short-term market fluctuations. |
| AUTHOR | Dr. Md Irfan, R Saraswathi Associate Professor, Dept. of MBA, CMRTC, Hyderabad, India Assistant Professor, Dept. of MBA, CMRTC, Hyderabad, India |
| VOLUME | 11 |
| DOI | DOI:10.15680/IJARETY.2024.1106119 |
| 119_Big Data.pdf | |
| KEYWORDS | |
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