Intellectual Capital and Bank Risk in Vietnam—A Quantile Regression Approach

This study empirically presents evidence of nonlinearity and heterogeneity relation between intellectual capital risk-taking for the Vietnamese banking system. We used quantile regression methods on a data set 30 banks from 2007 to 2019. The results showed that bank insolvency was positively affected by its value-added coefficient (VAIC) at upper quantiles (i.e., 80th 90th), while opposite true credit risk 10th 20th quantiles). When observing VAIC’s components, behaviors were also significantly HCE (Human Capital Efficiency), CEE (Capital Employed Efficiency) SCE (Structural 90th instability distribution distribution. Furthermore, emphasized there an inverse U-shaped association risk-taking. Therefore, this provides important implications policymakers, regulators, managers academics encourage increasing investment in knowledge assets minimize risks long run.