Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding

We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is, forecasters seem to intentionally scatter their forecasts around a consensus forecast. We further show that cross-sectional heterogeneity of forecasts with regard to anti-herding transmits onto cross-sectional heterogeneity of forecast accuracy. Specifically, we document that forecasters who herd provide more accurate forecasts than their colleagues who anti-herd.     

Optimal asset allocation for a large number of investment opportunities

This paper introduces a stock‐picking algorithm that can be used to perform an optimal asset allocation for a large number of investment opportunities. The allocation scheme is based upon the idea of causal risk. Instead of referring to the volatility of the assets time series, the stock‐picking algorithm determines the risk exposure of the portfolio by concerning the non‐forecastability of the assets. The underlying expected return forecasts are based on time‐delay recurrent error correction neural networks, which utilize the last model error as an auxiliary input to evaluate their own misspecification. We demonstrate the profitability of our stock‐picking approach by constructing portfolios from 68 different assets of the German stock market. It turns out that our approach is superior to a preset benchmark portfolio. Copyright © 2005 John Wiley & Sons, Ltd.     

Additionality of public R&D grants in a transition economy

This paper examines the input and output additionality of public R&D subsidies in Western and Eastern Germany. We estimate the impact of public R&D grants on firms’ R&D and innovation input. Based on the results of this first step we compare the impact of publicly funded private R&D on innovation output with the output effect of R&D funded out of firms’ own pockets. We employ microeconometric evaluation methods using firm‐level data derived from the Mannheim Innovation Panel. Our results point towards a large degree of additionality in public R&D grants with regard to innovation input measured as R&D expenditures and innovation expenditures, as well as with regard to innovation output measured by patent applications. Input additionality has been more pronounced in Eastern Germany during the transition period than in Western Germany. However, R&D productivity is still larger for the established Western German innovation system than for Eastern Germany. Hence, a regional redistribution of public R&D subsidies might improve the overall innovation output of the German economy.     

Operations of a Pension Fund after the Asian Crisis: The Thai Experience*

During and after the Asian crisis, institutional investors and pension funds in Asian financial markets have been confronted with a number of difficulties effecting their performance and the way they carry out their role within the national pension system. We analyze these problems by comparing the actual investment policy of an institutional investor with an optimal investment strategy derived from the insights of modern portfolio theory. We also analyze whether the organizational set‐up of a pension fund allows it to adequately perform its role within the pension system. As an example, we examine the operations of the Thai Government Pension Fund (GPF). We find that allowing international investments and reducing restrictions on equity investments while lowering the implicit requirements for investments in government debt would allow the GPF to further diversify its investment risk and to increase its risk‐adjusted return. We also show that some changes in the governance structure of the GPF would lower the occurrence of conflicts of interest for the management and increase the efficiency of the GPF operations.     

Does competitive pricing cause market breakdown under extreme adverse selection?

We study market breakdown in a finance context under extreme adverse selection with and without competitive pricing. Adverse selection is extreme if for any price there are informed agent types with whom uninformed agents prefer not to trade. Market breakdown occurs when no trade is the only equilibrium outcome. We present a necessary and sufficient condition for market breakdown. If the condition holds, then trade is not viable. If the condition fails, then trade can occur under competitive pricing. There are environments in which the condition holds and others in which it fails.     

Probleme gleichgewichtsorientierter Inflationserklärungen

Ohne ZusammenfassungHerrn Doz. Abele und Herrn Dr. Beinsen bin ich für die kritische Durchsicht dieser Arbeit zu Dank verpflichtet. Doz. Abele hat mir vor allem allgemeine Hinweise zum Stand der Theorie gegeben, die mich zu dieser Arbeit erst so recht anregten.     

The Austrian current account deficit: Driven by twin deficits or by intertemporal expenditure allocation?

The evidence presented in the paper rejects the twin deficit hypothesis for the Austrian current account balance during the last two decades. The results are based on an estimate of a vector error correction model including quarterly data for the current account balance and potentially relevant variables driving its dynamics. We compute the variance decomposition of the current account's forecast error and its generalized impulse responses to shocks in the innovations of the system. The results in favor of intertemporal expenditure reallocation cannot be reproduced within a second analysis including the current account and a measure of net output, however. The estimated implicit current account balance, interpreted as the discounted expected change in future net output, does not follow the actual behaviour of the current account. First version received: June 1999/Final version received: March 2001     

Corporate foresight: Its three roles in enhancing the innovation capacity of a firm

In the last three decades much knowledge has been produced on how best to conduct foresight exercises, but little is known on how foresight should be integrated with the innovation effort of a company. Drawing on empirical evidence from 19 case studies and 107 interviews, we identify three roles that corporate foresight should play to maximize the innovation capacity of a firm: (1) the strategist role, which explores new business fields; (2) the initiator role, which increases the number of innovation concepts and ideas; and (3) the opponent role, which challenges innovation projects to increase the quality of their output.     

A theory of sequential reciprocity

Many experimental studies indicate that people are motivated by reciprocity. Rabin [Amer. Econ. Rev. 83 (1993) 1281] develops techniques for incorporating such concerns into game theory and economics. His theory is developed for normal form games, and he abstracts from information about the sequential structure of a strategic situation. We develop a theory of reciprocity for extensive games in which the sequential structure of a strategic situation is made explicit, and propose a new solution concept—sequential reciprocity equilibrium—for which we prove an equilibrium existence result. The model is applied in several examples, and it is shown that it captures very well the intuitive meaning of reciprocity as well as certain qualitative features of experimental evidence.