Corporate strategy and information disclosure

We examine voluntary disclosures of information about corporate strategies. We develop a model in which managers choose whether to reveal their strategic plans only to some partners of the firm or also to the outside world. We show that managers face a tradeoff when deciding whether to disclose their private information to outsiders. On the one hand, by disclosing their intentions, managers become reluctant to change their minds in the future. This may lead them to make inefficient project implementation decisions. On the other hand, information disclosure about corporate strategy provides strong incentives for partners of the firm to undertake strategy‐specific investments.     

Impacts of Technology Adoption by Small Independent Food Retailers

This paper aims to understand the impacts of technology adoption on small independent food retailers in Portugal. Based on primary data, perceptions of the impacts were related to types of technology and retailer‐specific characteristics. Although technologies for managing customer relationships are the most frequently adopted, there is no empirical evidence that they yield strong perceived impacts on firms' performance. The complexity and novelty of such technologies seems to require time for firms and workers to become proficient in their use, and hence to generate perceived impacts on firms' performance.     

EFFECTS OF FEDERAL CONSTITUTIONAL GRANTS IN BRAZILIAN MUNICIPALITIES

The objective of the present study is to verify the flypaper effect of 476 Brazilian municipalities from 2005 to 2012, considering the new variables as instruments of grants. Political alignment, alignment of the party, and coalition of the mayor with the federal president and of the state governor were considered as instruments of grants. A municipal tax autonomy index was considered as a control variable, which represents the percentage of local taxes in the municipal total revenues. The results allow concluding that the flypaper effect exists in Brazilian municipalities and is intensified by the alignment of the representatives in the same way of theoretical literature (Hamilton 1983; Hines & Thaler 1995; Inman 2008) and previous empirical studies in Brazil. Moreover, evidences of higher flypaper effect were found in municipalities with low tax autonomy.     

Enhancing individual entrepreneurial orientation measurement using a metacognitive decision making-based framework

Entrepreneurship, and individuals’ predisposition toward entrepreneurial activities in particular, i.e. Individual Entrepreneurial Orientation (IEO), has been gaining increasing relevance in academia and management practice alike. Understanding IEO is a critical element not only for its promotion, but for better and more informed managerial and investor decision making as well. As such, this study proposes a new framework for understanding and measuring IEO based on the integrated use of cognitive mapping and the interactive multiple criteria decision making (TODIM) method. We present the steps for building such a framework, as well as a practical application of these steps. The results are promising: the methodology applied allowed a large number of determinants of IEO and their relationships to be mapped; and, subsequently, ranked and weighted for the creation of an IEO measurement tool. The implications of the resulting framework for theory and practice, its limitations and possibilities for further research are also discussed.     

NONPARAMETRIC MODELS OF FINANCIAL LEVERAGE DECISIONS

This paper applies nonparametric decision tree models to the analysis of financial leverage decisions. This approach presents three appealing features: (i) the relationship between leverage and explanatory variables is not predetermined but is derived from information provided by the data, (ii) the models respect the fractional nature of leverage ratios, and (iii) each covariate is allowed to influence in different ways the financial leverage decisions of firms automatically assigned to different groups. Based on a data set of Portuguese firms, decision trees are used to tackle both classification (the decision to issue debt) and regression (the decision on the amount of debt to be issued, conditional on using debt) problems. It is found that: (i) two‐part models are the most appropriate specification for explaining the overall amount of debt used by firms, (ii) there are no drastic differences between the results produced by tree and parametric models, although some divergences may arise, and (iii) tree models suggest relationships between covariates and leverage that parametric models fail to capture, especially when the sample size is small.     

Correlation dynamics of global industry portfolios

This paper investigates the time series of realized correlations between global industries and the world market over the 1979–2008 period. The behavior of industry correlations is characterized by long-term swings, with a period of historically low correlations in the late 1990s. The Telecommunications and the Financials industries show a positive secular trend. Global industry correlations move countercyclically. Furthermore, there is evidence that industry correlations are higher for market downside moves than for upside moves.     

Adopt the euro? The GME approach

The objective of this paper is to evaluate the degree of financial integration achieved in the European Union based on covered interest parity and using Generalized Maximum Entropy. EU countries are divided into two groups according to their current situation with respect to the adoption of the euro. Financial integration before the adoption of the euro is analyzed for the countries that adopted the euro in 1999. Similarly, current financial integration is evaluated for non-euro EU countries. Besides the importance of comparing the situation of the non-euro EU countries with the situation of the euro EU countries previous to the euro adoption, which may be useful to evaluate an eventual decision of the non-euro members to adopt the euro, it is interesting to analyze the performance of Generalized Maximum Entropy. Generalized Maximum Entropy has the ability to estimate the parameters of a regression model without imposing any constrains on the probability distribution of errors and it is robust even when we have ill-posed problems. Overall our results suggest that the degree of financial integration on non-euro countries is lower than the degree of financial integration that existed among euro adopting countries before the adoption of the euro.     

Unbundling Ownership and Control

We study control contests under asymmetric information. Using a mechanism design approach, we fully characterize the optimal control contest mechanism. The optimal mechanism requires increasing the number of shares owned by the incumbent insider if he remains in control, while giving him a golden parachute that includes both shares and cash if he is deposed. The model underscores a novel explanation for the prevalence and persistence of the separation of ownership from control: efficiency in control contests is more easily achieved when ownership of cash flow rights is not concentrated in the hands of insiders.     

Managing complexity： A problem of chaos in fisheries policy

This work intends to present chaos theory （and dynamical systems such as the theories of complexity）, in terms of interpretation of ecological phenomena. The chaos theory applied in the context of ecological systems, especially in the context of fisheries has allowed the recognition of the relevance of this kind of theories to explain fishing phenomena and fisheries policies. It has permitted new advances in the study of marine systems, contributing to the preservation of fish stocks. This paper deals with the way how to manage fisheries taking chaos in account of the problem.     

Is inflation targeting a good remedy to control inflation?

Since the 1990s inflation targeting (IT) has been adopted by several central banks as a strategy for monetary policy. It is expected that the adoption of this monetary regime can reduce inflation and inflation volatility. This article is concerned with these issues and makes use of the Propensity Score Matching methodology on a sample of 180 countries for the period from 1990 to 2007. For analysis, the sample is split into two sets of countries (advanced and developing). The findings suggest that the adoption of IT is an ideal monetary regime for developing economies and, in addition to reducing inflation volatility, can drive inflation down to internationally acceptable levels. Regarding advanced economies, the adoption of IT does not appear to represent an advantageous strategy. In brief, the empirical results indicate that the adoption of IT is useful for countries that must enhance their credibility for the management of monetary policy.