Insider employee stock option trading and stock prices

The question of which factors determine corporate bonds pricing is investigated by analysing the spreads of eurobonds issued by major G-10 companies during the 1991–2001 period. Three main results emerge from the analysis. First, bond ratings appear as the most important determinant of yield spreads, with investors’ reliance on rating agencies judgments increasing over time. Second, the primary market efficiency and the expected secondary market liquidity are not relevant explanatory factors of spreads cross-sectional variability. Finally, rating agencies adopt a different, ‘through the cycle’, evaluation criteria of default risk with respect to the forward looking one adopted by bond investors.     

“Less is more” or “more is better”? The effect of asymmetric information distribution on market efficiency and wealth inequality

Journal of Economic Interaction and Coordination - We provide experimental and empirical evidence on the role of information distribution and accuracy in solving market inefficiency and the related...     

Screening and training inter-cultural competencies: evaluating the impact of national culture on inter-cultural competencies

Inter-cultural competencies have become increasingly important for international personnel selection and training. The purpose of this article is to evaluate psychometric data regarding the controversy as to whether inter-cultural competencies are culture-free or culture-bound. In two empirical research projects in the USA and Germany national differences in inter-cultural competencies are evaluated. National culture is indicated as a significant independent variable for inter-cultural competencies in both studies. However, the impact of national culture on inter-cultural competencies seems to be minor in relation to the impact of gender culture as well as of organizational culture. Therefore, inter-cultural competencies are judged to be culture-general in the two nations. Conceptual conclusions as well as practical conclusions for IHRM are discussed, based on the results. Finally, the limitations of the studies are pointed out.     

The technological determinants of long‐run inequality

I explore the effect of skill‐biased technological change and unbiased technological progress on long‐run inequality using a theoretical model in which the supply of skilled and unskilled workers is endogenous. The main assumption of the model is that young agents can finance their education and become skilled workers by borrowing against their future income on an imperfect credit market. I show that whenever the rate of unbiased technological progress is sufficiently high there is no steady‐state inequality, independent of the degree of skill bias. If instead the rate of unbiased technological progress is low, then the long‐run skill premium increases with the technological skill bias. Therefore, similarly to the short run, in the long run higher technological skill bias may cause higher inequality. However, contrary to the short run, in the long run unbiased technological progress is more important than technological skill bias in determining inequality. I also discuss how the efficiency of the educational technology and the degree of financial development affect long‐run inequality.     

Is training more frequent when the wage premium is smaller? Evidence from the European Community Household Panel

According to Becker [Becker, G., 1964, Human Capital, NBER, New York], when labour markets are perfectly competitive, general training is paid by the worker, who reaps all the benefits from the investment. Therefore, ceteris paribus, the greater the training wage premium, the greater the investment in general training. Using data from the European Community Household Panel, we compute a proxy of the training wage premium in clusters of homogeneous workers and find that smaller premia induce greater incidence of off-site training, which is likely to impart general skills. Our findings suggest that the Becker model provides insufficient guidance to understand empirical training patterns. Conversely, they are not inconsistent with theories of training in imperfectly competitive labour markets, in which firms may be willing to finance general training if the wage structure is compressed, that is, if the increase in productivity after training is greater than the increase in pay.     

How useful are no-arbitrage restrictions for forecasting the term structure of interest rates?

We develop a general framework for analyzing the usefulness of imposing parameter restrictions on a forecasting model. We propose a measure of the usefulness of the restrictions that depends on the forecaster’s loss function and that could be time varying. We show how to conduct inference about this measure. The application of our methodology to analyzing the usefulness of no-arbitrage restrictions for forecasting the term structure of interest rates reveals that: (1) the restrictions have become less useful over time; (2) when using a statistical measure of accuracy, the restrictions are a useful way to reduce parameter estimation uncertainty, but are dominated by restrictions that do the same without using any theory; (3) when using an economic measure of accuracy, the no-arbitrage restrictions are no longer dominated by atheoretical restrictions, but for this to be true it is important that the restrictions incorporate a time-varying risk premium.