Duration of unemployment in the Dutch youth labour market

Summary This paper is concerned with the specification and estimation of a one-state proportional hazard model to explain the duration of unemployment in the Dutch youth labour market. Special attention is given explaining the unequal distribution of unemployment experiences among young labour force participants. The model is estimated using data from a 1984 national random sample of young people unemployed in May and interviewed in October/November. It is found that the replacement ratio has no significant effect. The predicted youth wage on the other hand is significant. The paper also presents and compares different functional forms for modelling duration dependence and heterogeneity.A more extensive version of this paper was published by the Organisation for Strategic Labour Market Research (OSA) in The Hague as working paper nr. 14, 1985. We wish to thank this organisation for its encouragement and for its financial support. We also wish to thank M. Bom, J. Hartog, T. Manders, E. de Regt and G. Ridder for their comments and help.     

Dynamic optimal hedge ratio design when price and production are stochastic with jump

Annals of Finance - In this paper, we focus on the farmer’s risk income when using commodity futures, when price and output processes are randomly correlated and represented by jump-diffusion...     

VaR and ES for linear portfolios with mixture of generalized Laplace distributions risk factors

In this paper, we propose an explicit estimation of Value-at-Risk (VaR) and Expected Shortfall (ES) for linear portfolios when the risk factors change with a convex mixture of generalized Laplace distributions (M-GLD). We introduce the dynamics Delta-GLD-VaR, Delta-GLD-ES, Delta-MGLD-VaR and Delta-MGLD-ES, by using conditional correlation multivariate GARCH. The generalized Laplace distribution impose less restrictive assumptions during estimation that should improve the precision of the VaR and ES through the varying shape and fat tails of the risk factors in relation with the historical sample data. We also suggested some areas of application to measure price risk in agriculture, risk management and financial portfolio optimization.     

An Empirical Model of Optimal Capital Structure1

The authors provide a reasonably user‐friendly and intuitive model for arriving at a company's optimal, or value‐maximizing, leverage ratio that is based on the estimation of company‐specific cost and benefit functions for debt financing. The benefit functions are downward‐sloping, reflecting the drop in the incremental value of debt with increases in the amount used. The cost functions are upward‐sloping, reflecting the increase in costs associated with increases in leverage. The cost functions vary among companies in ways that reflect differences in corporate characteristics such as size, profitability, dividend policy, book‐to‐market ratio, and asset collateral and redeployability. The authors use these cost and benefit functions to produce an estimate of a company's optimal amount of debt. Just as equilibrium in economics textbooks occurs where supply equals demand, optimal capital structure occurs at the point where the marginal benefit of debt equals the marginal cost. The article illustrates optimal debt choices for companies such as Barnes & Noble, Coca‐Cola, Six Flags, and Performance Food Group. The authors also estimate the net benefit of debt usage (in terms of the increase in firm or enterprise value) for companies that are optimally levered, as well as the net cost of being underleveraged for companies with too little debt, and the cost of overleveraging for companies with too much. One critical insight of the model is that the costs associated with overleveraging appear to be significantly higher, at least for some companies, than the costs of being underleveraged.     

HIGH AND LOW EARNINGS JOBS: THE FORTUNES OF EMPLOYERS AND WORKERS

The focus of the literature on the effect of job changes has been on the consequences of job destruction on the individual worker. In this paper we analyze the impact on the earnings distribution of both job creation and job destruction. We establish a link between job reallocation and the movement of workers into and out of the tails of the earnings distribution. Both job creating and job destroying employers shed jobs mostly from the middle and lower tails of the earnings distribution, although this is cyclically very sensitive. Labor mobility (triggered by job reallocation) is risky: mobile workers will generally end up in the upper or lower tail of the distribution rather than in the middle. If workers move across industry boundaries, they typically move to the lower tails of the distribution. In sum, the fortunes of workers depend on the fortunes of their employers.     

Making strategic judgements

Can a case to be made for managers to become less risk-averse or even act in a manner contrary to conventional wisdom? Jules Goddard and Tony Eccles suggest that may be the best strategy during economic turmoil.