Seasonality and Markov switching in an unobserved component time series model

It is generally acknowledged that the growth rate of output, the seasonal pattern, and the business cycle are best estimated simultaneously. To achieve this, we develop an unobserved component time series model for seasonally unadjusted US GDP. Our model incorporates a Markov switching regime to produce periods of expansion and recession, both of which are characterized by different underlying growth rates. Although both growth rates are time-varying, they are assumed to be cointegrated. The analysis is Bayesian, which fully accounts for all sources of uncertainty. Comparison with results from a similar model for seasonally adjusted data indicates that the seasonal adjustment of the data significantly alters several aspects of the full model. First Version Received: January 2001/Final Version Received: February 2002 Send offprint requests to: Rob Luginbuhl?Correspondence to: Rob Luginbuhl     

The living company

What can explain the longevity gap between a company that survives for centuries--the Swedish company Stora, for example, which is more than 700 years old--and the average corporation, which does not last 20 years? A team at Royal Dutch/Shell Group explored that question. Arie de Geus, a retired Shell executive, writes about the team's findings and describes what he calls living companies-organizations that have beaten the high mortality rate of the average corporation. Many companies die young, de Geus argues, because their policies and practices are based too heavily on the thinking and language of economics. Their managers focus on producing goods and services and forget that the organization is a community of human beings that is in business--any business--to stay alive. In contrast, managers of living companies consider themselves to be stewards of a long-standing enterprise. Their priorities reflect their commitment to the organization's long-term survival in an unpredictable world. Like careful gardeners, they encourage growth and renewal without endangering the plant they are tending. They value profits the same way most people value oxygen: as necessary for life but not the purpose of it. They scuttle assets when necessary to make a dramatic change in the business portfolio. And they constantly search for new ideas. These managers also focus on developing people. They create opportunities for employees to learn from one another. Such organizations are suited for survival in a world in which success depends on the ability to learn, to adapt, and to evolve.     

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.