The determinacy of the regression factor score predictor based on continuous parameter estimates from categorical variables

The estimation of population parameters of the continuous common factor model from categorical observed variables is meanwhile regularly performed. It is shown that the formula for the calculation of the determinacy of the regression factor score predictor from the estimated model parameters has to be adapted under these conditions. A method for the calculation of this determinacy from the model parameters of the continuous population factor model based on categorical variables is proposed and evaluated by means of simulated population data. It turns out that using the uncorrected formula can lead to serious overestimation of determinacy for categorical variables.     

On the bias of factor score determinacy coefficients based on different estimation methods of the exploratory factor model

The factor score determinacy coefficient represents the common variance of the factor score predictor with the corresponding factor. The aim of the present simulation study was to compare the bias of determinacy coefficients based on different estimation methods of the exploratory factor model. Overall, determinacy coefficients computed from parameters based on maximum likelihood estimation, unweighted least squares estimation, and principal axis factoring were more precise than determinacy coefficients based on generalized least squares estimation and alpha factoring.     

Ownership concentration beyond good and evil: is there an effect on corporate performance?

In this paper, we analyze the relationship between ownership concentration and firm performance, while accounting for the endogeneity of the ownership structure, a potential curvilinearity of the performance effect, differences in corporate governance systems, and alternative performance measures. Using a sample of 1,079 firms from 8 countries we find evidence for a curvilinear effect of ownership concentration on firm performance, which becomes insignificant after controlling for endogeneity. Hence, our results support the findings by Demsetz and Villalonga (J Corp Fin 7(3):209?C233, 2001). More research is needed to disentangle the contradictory findings in prior works.     

On the Correlation of Common Factors with Variance Not Accounted for by the Factor Model

The case that the factor model does not account for all the covariances of the observed variables is considered. It is shown that principal components representing covariances not accounted for by the factor model can have a nonzero correlation with the common factors of the factor model. The substantial correlations of components representing variance not accounted for by the factor model with common factors are demonstrated in a simulation study comprising model error. Based on these results, a new version of Harman's factor score predictor minimizing the correlation with residual components is proposed.     

What factors drive personal loan fraud? Evidence from Germany

Based on a data set of nearly 43,000 personal loan applications from Germany, this paper empirically determines key factors of application fraud such as, for instance, the sales channel or the loan amount. This is done univariately as well as by employing a logistic regression, which is found to be a statistically significant approach for profiling loan application fraudsters. Besides in-sample and out-of-sample verifications, we also prove the economic significance of our results by developing a fraud management framework taking the fraud rate, the average default cost due to fraud as well as the fraud screening costs into account.     

The use and effectiveness of top executive dismissal

We provide a systematic assessment of the empirical evidence on the use and effectiveness of top executive dismissal as a governance and performance improvement mechanism. Our results suggest that poor individual and firm performance significantly increase the likelihood of executive dismissal. A strong power base might help under-performing top executives to extend their tenure in office, but effective ownership and governance structures can provide a counterweight to such entrenchment behaviors. However, our review casts doubt on the effectiveness of top executive dismissal as a means to enhance future firm performance: employing meta-analytical techniques we show that, although the dismissal announcement leads to positive abnormal returns, it has no significant effect on long-term measures of firm performance. On the basis of our findings, we develop a conceptual model of the possible antecedents and consequences of top executive dismissal. We derive implications for boards involved in situations of executive dismissal and for the successors of dismissed executives, and we provide directions for future leadership research on executive dismissal.