Enhancing Interns’ Aspirations towards the Labour Market through Skill-Acquisition: The Second Chance Schools Experience

Second Change School programmes are active in a number of European countries. These schools offer vulnerable young adults an alternative opportunity to enhance their employability skills by alternating education with work experience. People enrolling in these programmes disengaged from schools at an early age. They already experienced or are at-risk to enter into unemployment. This paper examines the impact of the Second Chance Schools on their participants’ aspirations towards the labour market through skill-acquisition. We are able to identify the perception of Second Chance Schools’ interns regarding entry to the professional life. A third of them, for example, consider their attitude or their surroundings as a barrier preventing them from getting a job. However, our results emphasise the role of the interns’ coach in improving their aspirations towards the labour market. We also show that when compared to male interns, female interns have a stronger (positive) perception of the school as a place where they can gain skills.

Modeling Dependence Structure and Forecasting Market Risk with Dynamic Asymmetric Copula

We investigate the dynamic and asymmetric dependence structure between equity portfolios from the US and UK. We demonstrate the statistical significance of dynamic asymmetric copula models in modelling and forecasting market risk. First, we construct “high-minus-low" equity portfolios sorted on beta, coskewness, and cokurtosis. We find substantial evidence of dynamic and asymmetric dependence between characteristic-sorted portfolios. Second, we consider a dynamic asymmetric copula model by combining the generalized hyperbolic skewed t copula with the generalized autoregressive score (GAS) model to capture both the multivariate non-normality and the dynamic and asymmetric dependence between equity portfolios. We demonstrate its usefulness by evaluating the forecasting performance of Value-at-Risk and Expected Shortfall for the high-minus-low portfolios. From back-testing, e find consistent and robust evidence that our dynamic asymmetric copula model provides the most accurate forecasts, indicating the importance of incorporating the dynamic and asymmetric dependence structure in risk management.