Portfolio optimization based on GARCH-EVT-Copula forecasting models

This study uses GARCH-EVT-copula and ARMA-GARCH-EVT-copula models to perform out-of-sample forecasts and simulate one-day-ahead returns for ten stock indexes. We construct optimal portfolios based on the global minimum variance (GMV), minimum conditional value-at-risk (Min-CVaR) and certainty equivalence tangency (CET) criteria, and model the dependence structure between stock market returns by employing elliptical (Student-$t$ and Gaussian) and Archimedean (Clayton, Frank and Gumbel) copulas. We analyze the performances of 288 risk modeling portfolio strategies using out-of-sample back-testing. Our main finding is that the CET portfolio, based on ARMA-GARCH-EVT-copula forecasts, outperforms the benchmark portfolio based on historical returns. The regression analyses show that GARCH-EVT forecasting models, which use Gaussian or Student-$t$ copulas, are best at reducing the portfolio risk.     

Smart Meter-Angebote: Eine empirische Untersuchung von Kundenpräferenzen

The implementation of smart meters in German households by 2032 is a major step in the transition towards an intelligent and connected energy system. Despite of federal legislation providing a structured plan for the nationwide smart meter rollout including basic product requirements, actors within the energy market have the opportunity to take an active part in shaping the market through appealing product offers and hence to create competitive advantage. This study identifies relevant features of smart meters from literature und business practice, and measures customer’s preferences for these features. Results indicate predominantly positive customer evaluations of smart meter features, amongst which the availability of consumption data, the installation price and rental charges as well as time variable tariffs contribute most to overall utility of smart meters. Finally, findings suggest targeting customers by defining strategies to address privacy concerns, to educate about saving potentials as well as to create differentiated pricing schemes.     

The customer value proposition: evolution,development, and application in marketing

The customer value proposition (CVP) has a critical role in communicating how a company aims to provide value to customers. Managers and scholars increasingly use CVP terminology, yet the concept remains poorly understood and implemented; relatively little research on this topic has been published, considering the vast breadth of investigations of the value concept. In response, this article offers a comprehensive review of fragmented CVP literature, highlighting the lack of a strong theoretical foundation; distinguishes CVPs from related concepts; proposes a conceptual model of the CVP that includes antecedents, consequences, and moderators, together with several research propositions; illustrates the application of the CVP concept to four contrasting companies; and advances a compelling agenda for research.     

Corporate social responsibility: The disclosure–performance gap

As increased stakeholder pressure requires companies to be transparent about their CSR practices, it is essential to know how reliable corporate disclosure mechanisms are, testing the gap between corporate social responsibility claims and actual practice. This study benchmarks corporate social responsibility policies and practices of ten international hotel groups of particular importance to the European leisure market. We found that corporate systems are not necessarily reflective of actual operations, environmental performance is eco-savings driven, labour policies aim to comply with local legislation, socio-economic policies are inward looking with little acceptance of impacts on the destination, and customer engagement is limited. Generally larger hotel groups have more comprehensive policies but also greater gaps in implementation, while the smaller hotel groups focus only on environmental management and deliver what they promised. As the first survey of its kind in tourism, both the methodology and the findings have implications for further research.     

MEASURING RICHNESS AND POVERTY: A MICRO DATA APPLICATION TO EUROPE AND GERMANY

In this paper, we define a new class of richness measures. In contrast to the often used headcount, these new measures are sensitive to changes in rich individuals' incomes and, therefore, allow for a more sophisticated analysis of richness. We demonstrate the application of these new measures in analyzing the development of poverty and richness over time in Germany. Moreover, we compare Germany to many other European countries and investigate the impact of tax reforms on poverty and richness. Using these examples, we show the importance of taking the intensity of changes into account and not only the number of people beyond a given richness line (headcount). We propose to use the new measures in addition to the headcount index for a more comprehensive analysis of richness.     

Green Project Bonds als finanzielle Alternative für Energieunternehmen

The reorientations of energy policy, and in particular the promotion of renewables, have changed the market conditions for energy companies significantly. Over recent years, the resulting challenges put the energy companies’ financial ratios under severe stress. As the need to invest remains urgent, energy firms seek to broaden and diversify their sources of funding. Against this backdrop, the article addresses an innovative form of securities-based debt financing for energy companies, which explicitly links the financing transaction to the investing of funds in renewable energy projects. Due to the early stage of development of so called green (project) bonds, an initial disambiguation is essential. Thereafter, current market processes, structures and rules are considered. Based hereupon, it is possible to discuss the new opportunities that green project bonds afford energy companies.