Modeling and measuring intraday overreaction of stock prices

We introduce a model for stock prices consisting of a fundamental price process and a news impact curve, which allows for either overreaction, underreaction, or correct response to changes of the fundamental value. We further develop statistics based on OHLC data, which separately measure upside and downside overreaction. The distribution of these statistics under the hypothesis of correct response and fundamental prices following Brownian motions is used to derive tests for upside and downside overreaction. We show that more realistic and frequently used fundamental price processes with correct response leave the distribution of the test statistics widely unaffected or lead to conservative tests. Empirical application to different stock markets provides strong evidence for intraday overreaction, particularly to bad news. The economic significance of the discrimination induced by the proposed statistics is further illustrated by analyzing the performance of a simple buy on bad news strategy.     

Co-movement of revenue: structural changes in the business cycle

The co-movement of revenue growth across different industries changes over the business cycle. Using a large sample of quarterly firm revenues, aggregated to industry data from 1969 to 2009, we demonstrate that the correlation is the highest during a crisis. Our findings of structural changes in correlation have implications for diversification decisions in portfolio analysis and risk management. The higher correlation in crisis periods increases the downside risk and bankruptcy probability of business portfolios. We test the hypothesis that average correlations are significantly different, by applying permutation and bootstrap techniques. As robustness checks, both correlations between industries and the aggregate market and correlations between earnings confirm our findings.     

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.     

Bankruptcy and firm finance

This paper analyzes how an enforcement mechanism that resembles a court affects firm finance. The court is described by two parameters that correspond to enforcement costs and the amount of creditor/debtor protection. We provide a theoretical and quantitative characterization of the effect of these enforcement parameters on the contract loan rate, the default probability and welfare. We analyze agents’ incentive to default and pursue bankruptcy and show that when the constraints that govern these decisions bind, the enforcement parameters can have a sharply non-linear effect on finance. We also compute the welfare losses of “poor institutions” and show that they are non-trivial. The results provide guidance on when models which abstract from enforcement provide good approximations and when they do not.      

Reconfiguration of the conceptual landscape: a tribute to the service logic of Richard Normann

This article is a tribute to the late Richard Normann, whose call for a “service logic” (Normann, Reframing Business: When the Map Changes the Landscape, Wiley, Chichester, p. 99, 2001) both parallels and enriches service-dominant (S-D) logic (Vargo and Lusch, J. Mark, 68:1–17, 2004a). Like Vargo and Lusch, Normann shifted the focus of the offering from an output to a process of value creation and perceived the firm as an organizer of this process, with the customer as a co-producer, rather than a receiver of value. He also argued that offerings are “frozen knowledge,” similar to Vargo and Lusch’s contention that the basis of exchange is applied operant resources (service) and suggested that the ‘dematerialization’ of resources increases their ‘liquidity’, which allows increased “density” for value creation. Thus, he suggested that firms need to “reframe business”—rethink the logic of value creation—to reveal opportunities in reconfiguring the value constellations of which they are part. This tribute explores these and other similarities and differences between Normann’s work and the evolving S-D logic.     

Income Inequality, Competitive Balance and the Attractiveness of Team Sports: Some Evidence and a Natural Experiment from English Soccer

This paper examines the relationship between financial inequality, competitive balance and attendance at English professional league soccer. It shows that while financial inequality among the clubs has increased, competitive balance has remained relatively stable and match attendance appears unrelated to competitive balance. A clearer test of the relationship is suggested by comparison with FA Cup matches. Because income inequality is primarily driven by inter- rather than intra-divisional inequality, the FA Cup has been a much more unbalanced competition than the divisional championships. Attendance at FA Cup matches relative to the corresponding league matches has fallen over the last twenty years.     

Der Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Controlling an der Philipps-Universität Marburg

Ohne Zusammenfassung     

Improving the business impact of foresight

Achieving an impact on business decision-makers with foresight does not appear to be an easy task. Therefore, the Macro Trends team at Deutsche Bank Research has formulated some criteria to guide foresight projects. They should aim to produce plausibility, provide convenience and inspiration as well as an appropriate time perspective with regard to the content of foresight results. In addition, a structured way of producing and delivering foresight, a seamless inclusion in organisational procedures, a high level of interaction with decision-makers, ideational entrepreneurship, innovation regarding communication with business people, and persistence and synchronisation with the business organisation are the key criteria for achieving a higher impact from foresight projects. To live up to these criteria, the Macro Trends team has developed a 'trend map' which provides a conceptual aggregation of trends - to provide orientation for decision-makers and stakeholders.     

Discrimination by shipping conferences?

Shipping conferences have for years been under heavy attacks from developing countries. It was with a view to finding out whether there was any justification for these grievances that the HWWA-Institut für Wirtschaftsforschung — Hamburg (The Hamburg Institute for International Economics) prepared a wide-ranging inquiry for the Federal Ministry of Transport, the most important results of which are summarised in the following article.