Comparing linear and nonlinear forecasts for stock returns

We compare the out-of-sample performance of monthly returns forecasts for two indices, namely the Dow Jones (DJ) and the Financial Times (FT) indices. A linear and a nonlinear artificial neural network (ANN) model are used to generate the out-of-sample competing forecasts for monthly returns. Stationary transformations of dividends and trading volume are considered as fundamental explanatory variables in the linear model and the input variables in the ANN model. The comparison of out-of-sample forecasts is done on the basis of forecast accuracy, using the Diebold and Mariano test [J. Bus. Econ. Stat. 13 (1995) 253.], and forecast encompassing, using the Clements and Hendry approach [J. Forecast. 5 (1998) 559.]. The results suggest that the out-of-sample ANN forecasts are significantly more accurate than linear forecasts of both indices. Furthermore, the ANN forecasts can explain the forecast errors of the linear model for both indices, while the linear model cannot explain the forecast errors of the ANN in either of the two indices. Overall, the results indicate that the inclusion of nonlinear terms in the relation between stock returns and fundamentals is important in out-of-sample forecasting. This conclusion is consistent with the view that the relation between stock returns and fundamentals is nonlinear.     

Berufsbedingte Dermatosen bei Pflegenden

Ekzeme – eine h?ufig untersch?tzte Gefahr - Untersuchungen zeigen, dass die Lebensqualit?t durch berufsbedingte Hauterkrankungen genauso eingeschr?nkt wird wie durch einen Myokardinfarkt oder Schlaganfall. Das ist für Pflegende deshalb so bedeutsam, weil gerade in Pflegeberufen Kontakt zu potenziell Allergie ausl?senden Stoffen besteht.     

Military casualties and exchange rates during the First World War: did the Eastern Front matter?

Although the First World War was ultimately decided in the west, historians have emphasized the importance of the often ‘forgotten’ Eastern Front in understanding its complex evolution. This article examines the perception of contemporary foreign exchange traders concerning the relative importance of the Eastern Front over time. Using a newly compiled dataset on prisoners of war and on soldiers killed and wounded, we show that traders were concerned with casualties on both fronts, recognizing the significance of the two‐front war in the early war years. From the autumn of 1916 onwards, traders seemed to believe the key to winning the war lay in the west only.     

Consumer specialization and the Romantic transformation of the British Grand Tour of Europe

This paper posits that significant changes in 19th century British recreational travel patterns resulted from a change in the manner in which tourists used entertaining stimuli in order to attain pleasure. Consumers no longer merely viewed arousing stimuli, but attempted to use them to produce emotional states of being which they could partially modify to intensify pleasurable feelings (Damasio, Looking for Spinoza: Joy, sorrow, and the feeling brain, William Heinemann, 2003). The impetus for this modification stemmed from an increasing awareness that emotional responses could be to some degree self-cultivated, as embodied in the Romantic ethos that become popular at the time via the emergence of the paperback novel and magazine industry (Campbell, The romantic ethic and the spirit of modern consumerism, Blackwell, 1987). By learning how to manipulate and modify mental images in a way that may not necessarily correspond with objective reality, Romantic tourists learned to elicit pleasure through engaging of their imagination. Such a change in the mode of pleasure seeking had important long run economic consequences for tourist regions throughout the European continent.     

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.     

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.     

Prediction markets for foresight

To navigate turbulent business environments, organizations have to develop foresight capacities that enable them to anticipate probable futures, respond rapidly to emerging changes, and support future oriented action. However, there are remaining barriers that impede a wider implementation of foresight. In particular, the necessities to deal with the future, anticipate change, enhance participation and reduce costs and complexity call for new methods to improve current foresight activities. In this paper, we introduce prediction markets to the field of foresight. Prediction markets are a structured approach to collect and aggregate information from groups and have recently gained attention in forecasting. Prediction markets go beyond simple forecasting and can contribute to foresight by providing advantages in terms of continuous and real-time information aggregation, motivation of participation and information revelation as well as cost-efficiency and scalability. We suggest four promising fields of application for prediction markets to enhance foresight: (1) continuous forecasting and environmental scanning, (2) combining with deliberative approaches, (3) continuous idea generation and (4) expert identification. We conclude by considering prediction markets as a nascent and promising method for foresight and advocate for further research.