Buenos mecanismos de gobierno corporativo se relacionan con buen desempeno empresarial. Este articulo estudia los efectos de los vinculos familiares, bancarios y empresariales en el desempeno de las empresas mexicanas durante el periodo 1995-1997. Dos variables de desempeno son empleadas por...

This paper considers financial, operational, solvency, and performance ratios, in order to detect when there were balance sheets’ variations related to the 1994 Mexican currency crisis. Quarterly results for 88 non-financial Mexican companies that survived the crisis are used, and tests for...

This paper considers financial, operational, solvency, and performance ratios, in order to detect when there were balance sheets’ variations related to the 1994 Mexican currency crisis. Quarterly results for 88 non-financial Mexican companies that survived the crisis are used, and tests for...

This paper considers financial, operational, solvency, and performance ratios in order to detect when there were balance sheets’ variations related to the 1994 Mexican currency crisis. Quarterly data for 88 non-financial Mexican companies that survived the crisis are used, and tests for...

The degree of crisis propagation on firms can be determined according to operational and financial results. This research studies how 88 private, non-financial Mexican firms suffered and recovered from the 1994 economic crisis. Results show that the periods and degree of deterioration and...

This study questions the new Corporate Governance legislations´ immediate effects on firm performance, for corporates listed in the industrial sector both in Chile and Mexico. It is concluded that these are not significant (within countries), although the positive firm effect in Chile is...

This article addresses heterogeneity in determinants of economic growth in a data-driven way. Instead of defining groups of countries with different growth characteristics <italic>a priori</italic>, based on, for example, geographical location, we use a finite mixture panel model and endogenous clustering to...

This paper puts forward kernel ridge regression as an approach for forecasting with many predictors that are related nonlinearly to the target variable. In kernel ridge regression, the observed predictor variables are mapped nonlinearly into a high-dimensional space, where estimation of the...

This paper proposes an iterative procedure to discriminate between structural breaks in the coefficients and the disturbance covariance matrix of a system of equations, with recursive procedures then identifying individual coefficient shifts and separating volatility from correlation breaks....