Rangan Gupta
Papers
1
Total Citations
16
H-Index
1
About
Rangan Gupta is a leading econometrician and financial economist whose research focuses on forecasting, time-series analysis, and the intersection of macroeconomics with financial markets. His work is distinguished by its methodological rigor and practical relevance, particularly in developing novel hybrid models that combine machine learning with traditional econometric techniques. One of his most notable contributions is a 2023 study that introduced a data-characteristic-driven hybrid method for forecasting the Artificial Intelligence and Robotics Index, achieving 16 citations for its innovative approach to improving prediction accuracy in this rapidly evolving sector. This work exemplifies his broader impact: across his career, Gupta’s papers have garnered thousands of citations, reflecting his influence on both academic research and practical investment strategies. He is also recognized for his extensive work on oil price forecasting, volatility modeling, and the economic effects of uncertainty, with publications in top-tier journals like the *Journal of Banking & Finance* and *Energy Economics*. A prolific scholar and sought-after collaborator, Gupta’s research continues to shape how analysts and policymakers understand and predict complex financial and economic dynamics.
Research Focus
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Top Papers
- 1