20 citations · 23 across the 5 of their papers we have counts for
5 papers
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
Shovon Sengupta, Sunny Kumar Singh, Tanujit Chakraborty
Accurate macroeconomic forecasting has become harder amid geopolitical disruptions, policy reversals, and volatile financial markets. Conventional vector autoregressions (VARs) ove…
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
Donia Besher, Madhurima Panja, Shovon Sengupta +1
Exchange rate forecasting remains a challenging problem, particularly for emerging economies, where the observed time series exhibit pronounced long-memory dependence, nonlinear dy…
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning
Shovon Sengupta, Bhanu Pratap, Amit Pawar
The conventional linear Phillips curve model, while widely used in policymaking, often struggles to deliver accurate forecasts in the presence of structural breaks and inherent non…
Forecasting CPI inflation under economic policy and geopolitical uncertainties
Shovon Sengupta, Tanujit Chakraborty, Sunny Kumar Singh
Forecasting consumer price index (CPI) inflation is of paramount importance for both academics and policymakers at the central banks. This study introduces a filtered ensemble wave…
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
Ghanshyam Verma, Shovon Sengupta, Simon Simanta +5
Personalized recommender systems play a crucial role in direct marketing, particularly in financial services, where delivering relevant content can enhance customer engagement and…