Cross-Sector Interactions in Western Europe: Lessons From Trade Credit Data

Large-scale analyses to map interactions between financial health at the sectoral level are still scarce. To fill the gap, in this paper, I map a network of predictive relationships across the financial health of several sectors. I provide a new advanced indicator to track propagation of financial distress across industries and countries on a monthly basis. I use defaults on trade credit as a measure of firms’ worsening financial conditions in a sector. To control for omitted-variable bias, I apply a high- dimensional VAR analysis, and isolate direct cross-sector causalities `a la Granger from common exposure to macroeconomic shocks or to third-sector shock. I show that monitoring some key sectors–among which construction, wholesale and retail, or the automotive sector–can improve the detection of financial distress in other sectors. Finally, I find that those financial predictive relationships correlates with the input-output structure in the considered economies. Such structure of financial interactions reflect the propagation of financial distress along the supply chain.