Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

Announcement effects of bank mergers in Europe and the US

We investigate the announcement effect of large bank mergers in the European and US stock market. Cumulative abnormal returns are calculated on the basis of the performance vis-à-vis the market and a sector index. Mergers result in small positive abnormal returns. Target banks realize significantly higher returns than bidders. In many respects, there is a difference between the announcement effects of European bank mergers compared to those in the US.     

Chebyshev interpolation for parametric option pricing

Recurrent tasks such as pricing, calibration and risk assessment need to be executed accurately and in real time. We concentrate on parametric option pricing (POP) as a generic instance of parametric conditional expectations and show that polynomial interpolation in the parameter space promises to considerably reduce run-times while maintaining accuracy. The attractive properties of Chebyshev interpolation and its tensorized extension enable us to identify broadly applicable criteria for (sub)exponential convergence and explicit error bounds. The method is most promising when the computation of the prices is most challenging. We therefore investigate its combination with Monte Carlo simulation and analyze the effect of (stochastic) approximations of the interpolation. For a wide and important range of problems, the Chebyshev method turns out to be more efficient than parametric multilevel Monte Carlo. We conclude with a numerical efficiency study.     

The potential of integrated reporting to enhance sustainability reporting in the public sector

This paper examines the influence of integrated reporting (IR) on the sustainability reporting practices of a state-owned enterprise through a content analysis of their reports and interviews with report preparers. The findings show a steady increase in the quantity and quality of sustainability disclosures. In 2012, the organization chose to adopt the IR framework in order to enhance sustainability reporting for all stakeholders. The IR process resulted in a more balanced disclosure of material aspects of sustainability. However, while IR has the potential to enhance public sector sustainability reporting, inter-generational equity issues were ignored.     

The interactive effects of organizational and leadership career management support on job satisfaction and turnover intention

In the organizational career management literature, scholars have focused on career management policies, with little attention given to practices that can vary within organizations. And despite its recognized importance, research on the role of leaders in the career management process is also scant. In this study, we investigate the effects of career management practices (OCPs) and leadership career support (LCS) on employee attitudes. Grounded on coping theory, we propose that career support received from line managers can be particularly consequential when OCPs are lacking. We analyze the moderating effects of LCS on the relationship between OCPs and both job satisfaction and turnover intention in a sample of employees from a large Brazilian organization, applying multiple regression analyses. Results showed that OCPs and LCS are positively related to job satisfaction and that OCPs are negatively related to turnover intention. In addition, we confirmed that LCS moderates the relationship between OCPs and both job satisfaction and turnover intention. Finally, we observed that the relationship between OCPs and turnover intention is mediated by job satisfaction. Theoretical and practical implications are discussed.     

Inequality and Income Distribution in Global Value Chains

Global value chains (GVCs), led by transnational corporations (TNCs), have reshaped the world division of labor over the past two decades. GVCs are pervasive in low technology manufacturing, such as textile and apparel, as well as in more advanced industries like automobiles, electronics, and machines. This hierarchical division of labor generates wild competition at the lower value-added stages of production, where low wages and low profit margins prevail for workers and contract manufacturers in developing countries. At the top of the hierarchy another kind of competition prevails, centered on the ability to monitor and control intellectual property rights related to innovation, finance, and marketing. We argue that GVCs have had crucial effects on income inequality and the appropriation of rents in modern capitalism.