Do momentum-based strategies work in emerging currency markets?

Existing studies on the profitability of trading rules in the currency market focus mainly on the currencies of developed countries. The profitability of technical trading rules on the currencies of emerging economies is surprisingly understudied. This paper evaluates the profitability of technical trading rules in emerging currency markets. Similar to Okunev and White [Okunev, J. and White, D., (2003) “Do Momentum-based Strategies Still Work in Foreign Currency Markets?” Journal of Financial and Quantitative Analysis 38, 425–447.], 354 long/short moving average rules for six currencies are investigated. It is found that investing in emerging currencies can generate a considerable annual return of over 20%, even after a 5% annual transaction cost is imposed. The trading-rule profits are relatively stable across the 20 year sample period. Furthermore, the impact of financial crises on the trading-rule returns is also examined. It is found that the profitability of the trading rules is improved after the crises.     

Maximum likelihood estimation and inference methods for the covariance stationary panel AR(1)/unit root model

This paper considers Maximum Likelihood (ML) based estimation and inference procedures for linear dynamic panel data models with fixed effects.     

Location factors of international R&D activities: an econometric approach

A model is developed of the relation between adoption of an innovation by firms and firm size. Decision making is represented as a group assessment of the perceived ratio between expected returns after succesful introduction, and the risk that implementation will fail or will last too long to makc adoption worth while. In view of differences in thc assessment of uncertainty and corresponding demands on the perceived return-to-risk ratio, among influencers of decisions in the firm, decision making is taken as stochastic, with a probability of adoption related to (objective) net benefits, and probability of non-adoption related to risk. The model gives a new way of looking at the fact that small firms lag behind in the adoption of new technology. In contrast with previous models proposed by David and Davies the explanation has nothing to do with there being some critical size below which adoption is not profitable. The present model explains the adoption lag for smaller firms as the result of expected returns being proportional to size while risk of failed implementation is independent of size. The model is tested and estimated empirically on data for the adoption of computers in small scale retailing, in the Netherlands.     

Co-operation in the Dutch Container Transport Industry

During the last 25 years, co-operation within the Dutch container transport industry has served in various ways as Q means of reducing rkk. Co-operation has been aimed chiefly at reducing financial risks, pooling financial resources, and regulating com- petition. In most cases, a direct solution of the problem of match- ing supply and demand has not been an important motive for CO- operation. In the early days of containerisation, industry culture was facilitating co-operation in liner shipping more than in the stevedoring and road haulage industries.     

Measuring peer effects in the Brazilian school system

Using the identification strategy proposed by Graham and Hahn (2005), we estimate the magnitude of classmate effects on math scores using Brazilian data from 2005. In addition, we provide a detailed discussion about the identification of endogenous peer effects in the linear in means models. Our results show that both peer characteristics (exogenous peer effects) – like race, socioeconomic status and gender – and peer actions (endogenous peer effects) are important determinants of students’ outcomes in the fifth grade of elementary school. Our estimates of endogenous peer effects are about 0.008 of 1 SD of math test scores, which can be interpreted as evidence of a so-called ‘conformist’ individual behaviour, under which students face large costs to exert effort levels that are distant from what is believed to be the norm in the classroom. Those estimates of endogenous peer effects imply a social multiplier of about 1.67.     

Guus Veenendaal. Spoorwegen in Nederland. Van 1834 tot nu. Amsterdam: Boom, 2004. 604 pp. ISBN 90-5352-980-2, {euro}49.50.

This book is a commissioned history for Nederlandse Spoorwegen(Dutch Railways, or NS), but in his foreword the author claimsthat the commission had no influence on the contents. Afterreading the book, I believe in the sincerity of this claim.NS is only visible commercially in a very subtle manner, thatis, in the choice of the company colors (yellow and blue) forthe book dust jacket. While NS formally was founded only in 1917—as a communityof interests of the     

Household inequality, social welfare, and trade

Working with Sen social welfare functions (meaning explicit separability between mean income and income dispersion), we develop a generalized dual approach to tracking household inequality aspects of social welfare in general equilibrium. We highlight how household equity can be examined analytically alongside production efficiency in duality-based models, using our dual framework to explore potential trade-offs between efficiency and equity effects of trade policy. Our results complement the set of standard inequality results in trade theory focused on functional rather than household inequality. We also find that the relative distributional impact of tariffs on welfare is conditional on the initial level of inequality.     

Causal Maps and Indirect Influences Analysis in the Diagnosis of Second‐Home Tourism Impacts

This paper proposes a method for diagnosing the impacts of second‐home tourism and illustrates it for a Mediterranean Spanish destination. This method proposes the application of network analysis software to the analysis of causal maps in order to create a causal network model based on stakeholder‐identified impacts. The main innovation is the analysis of indirect relations in causal maps for the identification of the most influential nodes in the model. The results show that the most influential nodes are of a political nature, which contradicts previous diagnoses identifying technical planning as the ultimate cause of problems. Copyright © 2014 John Wiley & Sons, Ltd.