About Me

My name is Bulbul Ahmmed, and I am a Ph.D. Candidate in International Finance at Inje University, South Korea. My research focuses on econometrics, monetary policy transmission, financial econometrics, and nonlinear time-series analysis.

My current work applies advanced quantitative methods, including Markov Switching Vector Autoregression (MS-VAR), Dynamic Nelson–Siegel yield curve modeling, and machine learning techniques such as LSTM models to examine monetary policy dynamics, interest rate behavior, and financial market regimes in emerging economies.

I am particularly interested in empirical policy analysis, monetary economics, public economics, and the application of machine learning in economics and finance. My research aims to contribute policy-relevant insights through rigorous econometric and computational approaches.