Growth: some combined cross- sectional and time series evidence from OECD countries

The uncovered interest rate parity hypothesis and three variants of the monetary approach to exchange rate determination are assessed under a vector autoregression representation of the available information variables, using monthly data on six major US dollar exchange rates over the period 1978–90. A large information set is used, and the time series properties of the information variables are taken into account. The cross-equation restrictions imposed on the estimated parameters are tested statistically and the economic significance of the models is evaluated independently on the basis of appropriate volatility tests. A weak test for exchange rate bubbles, based on a decomposition of market noise, is proposed.     

What's wrong with strategy?

Why is it that successful strategies are rarely developed as a result of formal planning processes? What is wrong with the way most companies go about developing strategy? Andrew Campbell and Marcus Alexander take a common sense look at why the planning frameworks managers use so often yield disappointing results. Companies often fail to distinguish between purpose (what an organization exists to do) and constraints (what an organization must do in order to survive), the authors say. Many executives mistakenly believe, for example, that satisfying stakeholders is an objective that drives thinking about strategy. In fact, it's a constraint, not an objective. Companies that don't win the loyalty of stakeholders will go out of business. Strategy is not about plans but about insights, the authors add. Strategy development is the process of discovering and understanding insights and should not be confused with planning, which is about turning insights into action. Furthermore, because executives develop most of their insights while actually doing the real work of running a business, it is important for companies not to separate strategy development from implementation. Is there a better way? The answer is not new planning processes or more effort. Instead, managers must understand two fundamental points: the benefit of having a well-articulated, stable purpose and the importance of discovering, understanding, documenting, and exploiting insights about how to create value.     

Patterns of Aging-Related Changes on the Way to 100

Abstract

The objective of this paper is to investigate dynamic properties of age trajectories of physiological indices and their effects on mortality risk and longevity using longitudinal data on more than 5,000 individuals collected in biennial examinations of the Framingham Heart Study (FHS) original cohort during about 50 subsequent years of follow-up. We first performed empirical analyses of the FHS longitudinal data. We evaluated average age trajectories of indices describing physiological states for different groups of individuals and established their connections with mortality risk. These indices include body mass index, diastolic blood pressure, pulse pressure, pulse rate, level of blood glucose, hematocrit, and serum cholesterol. To be able to investigate dynamic mechanisms responsible for changes in the aging human organisms using available longitudinal data, we further developed a stochastic process model of human mortality and aging, by including in it the notions of “physiological norms,” “allostatic adaptation and allostatic load,” “stress resistance,” and other characteristics associated with the internal process of aging and the effects of external disturbances. In this model, the persistent deviation of physiological indices from their normal values contributes to an increase in morbidity and mortality risks. We used the stochastic process model in the statistical analyses of longitudinal FHS data. We found that different indices have different average age patterns and different dynamic properties. We also found that age trajectories of long-lived individuals differ from those of the shorter-lived members of the FHS original cohort for both sexes. Using methods of statistical modeling, we evaluated “normal” age trajectories of physiological indices and the dynamic effects of allostatic adaptation. The model allows for evaluating average patterns of aging-related decline in stress resistance. This effect is captured by the narrowing of the U-shaped mortality risk (considered a function of physiological state) with age. We showed that individual indices and their rates of change with age, as well as other measures of individual variability, manifested during the life course are important contributors to mortality risks. The advantages and limitations of the approach are discussed.     

Market Responses to Buy Recommendations Issued by Personal Finance Magazines: Effects of Information, Price-Pressure, and Company Characteristics

This paper analyzes explicit buy recommendations for stockspublished by German Personal Finance Magazines from 1995 to2003. These recommendations earn significant abnormal returnsof 2.58% within the five days around the publication day. Boththe price-pressure hypothesis and the information hypothesiscan be confirmed by our data. The price-pressure effect is mostevident for small stocks and glamour stocks. However, whereasthe initial price reaction to small stocks is additionally drivenby permanent information value, this does not hold true forglamour stocks. In contrast, value stocks are associated withhigh cumulative abnormal returns that are solely driven by informationvalue.     

Decision parameters in global R&D management

This paper addresses the question of which variables have what kind of impact on the decision to locate new R&D facilities in countries different from the home country of a corporation. In the first section of the paper we demonstrate the complexity of this question by referring to empirical research, managerial statements and literature. We then develop a conceptual model for the location decision of international R&D activities. This is based on Porter's (1990) framework of the factors constituting the competitive advantage of nations. In the final section of this paper we show how such a model helps us to understand and also to explain a number of management issues related to global R&D activities.