mcanalysis: Markov Chain Analysis for Structural Behaviour and Stability

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Authors: Pramit Pandit, Mr. Ankit Kumar Singh, Ms. Anita Sarkar, Ms. Moumita Paul, Bikramjeet Ghose
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Abstract

Analyses the stability and structural behaviour of export and import patterns across multiple countries using a Markov chain modelling framework. Constructs transition probability matrices to quantify changes in trade shares between successive periods, thereby capturing persistence, structural shifts, and inter-country interdependence in trade performance. By iteratively generating expected trade distributions over time, the approach facilitates assessment of stability, long-run equilibrium tendencies, and comparative dynamics in longitudinal trade data, providing a rigorous tool for empirical analysis of export–import behaviour. Methodological foundations follow standard Markov chain theory as described in Gagniuc (2017) .

Fields of Study & Subjects

Global trade and economics Economic and Technological Innovation Global Trade and Competitiveness

Publication details

Publication date
15 January 2026
Document type
Dataset