Cross‐sectional Tests of Conditional Asset Pricing Models: Evidence from the German Stock Market

We study the performance of conditional asset pricing models and multifactor models in explaining the German cross‐section of stock returns. We focus on several variables, which (according to previous research) are associated with market expectations on future market excess returns or business cycle conditions. Our results suggest that the empirical performance of the Capital Asset Pricing Model (CAPM) can be improved when allowing for time‐varying parameters of the stochastic discount factor. A conditional CAPM using the term spread explains the returns on our size and book‐to‐market sorted portfolios about as well as the Fama‐French three‐factor model and performs best in terms of the Hansen‐Jagannathan distance. Structural break tests do not necessarily indicate parameter instability of conditional model specifications. Another major finding of the paper is that the Fama‐French model – despite its generally good cross‐sectional performance – is subject to model instability. Unconditional models, however, do a better job than conditional ones at capturing time‐series predictability of the test portfolio returns.     

The social value of income information in a model with market power and endogenous variety

The present paper analyzes the value of public information in a general equilibrium economy with imperfect competition. The welfare effects of an improved information system for perfectly competitive economies have been extensively investigated in the published literature. Schlee (2001) shows that the value of information is always negative in exchange economies if an efficient risk sharing mechanism exists. In contrast, in economies with production, better information reduces welfare provided consumers are sufficiently risk-averse ( Eckwert and Zilcha 2000, 2003 ). In the present paper it will be shown that this result is robust if the production sector exhibits monopolistic competition in the Chamberlinian sense. Even so, the inefficiency of equilibria adds further potential for positive welfare effects of improved information. A model is presented where the degree of market imperfection is positively linked to the value of information. If the markup on competitive prices is sufficiently high, the value of information is positive; that is, better information increases economic welfare.     

From the Gold Standard to a Bipolar Monetary System

This paper argues that the international monetary system will evolve into a bipolar structure consisting of a dollar area and a euro area, each of which attracting other countries to their gravitational centers. A deepening and widening of NAFTA and the EU will enlarge the sphere of influence of both currencies; trade wars will restrict them. The yen is a big question mark. The deep and still unresolved financial crisis in Japan works against the enlargement of the yen; deregulation of its financial markets, with the attendant decline in transaction costs, goes in the opposite direction. Our conclusion is that the yen area will be much smaller than the dollar and the euro area and, consequently, the two large blocs will shape the international monetary system of the 21st century in a critical way. We also discuss feasible scenarios of interaction between currency blocs. A large EMU works in favor of cooperation because fewer players imply lower decision-making costs in reaching a cooperative solution. The relative closeness of the EMU and the United States, on the other hand, works against cooperation and in favor of benign neglect. Exchange-rate agreements are fragile unless supported by strong commitment to economic policy cooperation, and such a commitment may well be premature. The article advocates that the United States and EMU target common inflation rates, an idea that Keynes proposed back in 1923.     

How useful is the concept of the natural real rate of interest for monetary policy?

The natural rate of interest plays a key role in Wicksell's‘cumulative process’ as well as in modern monetaryequilibrium models of the business cycle. It constitutes a usefulconcept for the theoretical analysis of the interdependenceof monetary policy and economic fluctuations. However, the usefulnessof this concept for the practice of monetary policy is limited—especiallyowing to the fact that the natural real rate of interest andits law of motion cannot be measured with satisfying precision.     

Flexible estimation of price response functions using retail scanner data

Kalyanam and Shively [1998. Estimating irregular pricing effects: a stochastic spline regression approach. Journal of Marketing Research 35 (1), 16–29] and van Heerde et al. [2001. Semiparametric analysis to estimate the deal effect curve. Journal of Marketing Research 38 (2), 197–215] have demonstrated the usefulness of nonparametric regression to estimate pricing effects flexibly. The empirical results of these two studies, however, also revealed that nonparametric regression may suffer from too much flexibility leading to nonmonotonic shapes for price effects. In this paper, we show how the problem of nonmonotonicity can be dealt with without losing the power of flexible estimation techniques. We propose a semiparametric approach based on Bayesian P-splines with monotonicity constraints imposed on own- and cross-price effects. In an empirical application, we illustrate that flexible estimation of own- and cross-price effects can improve the predictive validity of a sales response model substantially, even when price response curves were constrained to show a monotonic shape, as suggested by economic theory. We also discuss the consequences from an unconstrained estimation of price effects.