The aim of this study is to construct monthly coincident and leading composite indicators for the shipping industry in Korea. The coincident and the leading indicators are computed using the generalized dynamic factor model. We use the production index of the water transport industry as the...

This study examines the effect of macroeconomic shocks on the shipping market using time-series data by comparing the periods of the COVID-19 and traditional crises. A structural vector autoregressive model and forecast scenario were applied for the analysis. The results can be summarized as...