Transition Assessment of the Bangladeshi Financial Market Stress Regimes: A Markov Switching Modeling Approach

Abstract

This study aims to assess the resilience of the Bangladeshi financial market by analyzing episodes of economic crises and identifying potential turning points that may lead to market distress. The research seeks to provide a detailed understanding of the vulnerable aspects of financial instability in Bangladesh and propose actionable recovery strategies. The study employs Hamilton's Markov Switching Model (1989), a standard methodology from business cycle literature, to construct financial market regimes and identify economic episode turning points in Bangladesh. The Markov Switching Modeling (MSM) approach is used to examine the transition period movements within the financial market, focusing on current financial episodes and the broader economic sector's dynamic movements. The analysis reveals significant economic vulnerabilities within the Bangladeshi financial market, with specific episodes of financial distress identified through the MSM approach. The findings highlight the cyclical nature of financial crises in Bangladesh and underscore the importance of early detection of economic turning points to mitigate market distress. The study concludes that Hamilton's Markov Switching Model is a valuable tool for forecasting financial crises in emerging markets like Bangladesh. The identification of turning points in economic episodes provides crucial insights into the timing and nature of financial distress, enabling policymakers to implement timely interventions. The implications of this research are significant for policymakers and financial institutions. By identifying early warning signals of financial stress, this study contributes to the development of strategies that enhance the resiliency of financial institutions and reduce the risks and costs associated with financial crises. The methodology and findings can be applied to other emerging markets facing similar vulnerabilities, providing a framework for proactive economic management.