About Bulbul Ahmmed

  My name is Ahmmed Bulbul, and I am a PhD candidate in International Trade and Economics 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 modelling, and machine learning techniques such as LSTM models to examine monetary policy dynamics, interest rate behaviour, 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.