Factors influencing hedging decision: evidence from Brazilian citrus growers

The purpose of this study was to analyse the hedging behaviour of 98 citrus growers from the State of Sao Paulo, Brazil. Marketing behaviour was modelled as a choice between spot market, short and long‐term forward contracts. A multinomial logistic regression model was used to evaluate the role of behavioural, personal and managerial variables in the choice. Results indicated that the factors which explain the use of forward contracts by citrus growers are the following: risk propensity; trade with juice processing companies; farming diversification; overconfidence in management; participation in pools; use of management tools; and technical assistance. The results can be useful for farmers, policymakers, government agencies, traders and extension agents.     

Toward the crisis: a Kaleckian-Keynesian interpretation of the instability of growth and capital accumulation in Brazil

This article examines theoretically and empirically the instability of Brazilian investment and growth for the past couple of decades, highlighting the evolution that led to the current crisis. A theoretical discussion highlights the importance of Kaleckian and Keynesian approaches in understanding the semi-stagnation of the Brazilian economy since the 1990s. Empirical evidence shows that investment has increased until 2013, but not to the point of getting the economy back on the track of high growth rates and higher investment-GDP ratios. The econometric findings are compatible with the theoretical underpinnings of investment activity based on Keynes and Kalecki and suggest the existence of room for activist policies in Brazil in order to stimulate economic activity.     

Effects of perceived retail crowding: a meta-analytic study

ABSTRACT

We performed a meta-analysis to understand the crowding construct in the retail context. The systematic review identified 535 studies, of which 69 were present in the analysis conducted, generating 504 quantitative relationships. Our meta-analysis indicated that the perception of crowding generates many negative feelings, a few positive feelings, minimal perceived value, low attractiveness of the environment and low short- and long-term consequent behaviours. At the methodological level, it was found that student samples and experiments tend to produce a stronger impact on the relationship between crowding and satisfaction. It was also found that the effect of crowding perception on customer satisfaction differed according to cultural influence. Finally, the results did not demonstrate an influence of the type of density (human vs spatial) on the relationship between retail crowding and satisfaction.     

The Cost-Effective Choice of Policy Instruments to Cap Aggregate Emissions with Costly Enforcement

We study the cost-effectiveness of inducing compliance in a program that caps aggregate emissions of a given pollutant from a set of heterogeneous firms based on emissions standards and the relative cost-effectiveness of such a program with respect to an optimally designed program based on tradable discharge permits. Our analysis considers abatement, monitoring and sanctioning costs, as well as perfect and imperfect information on the part of the regulator with regard to the polluters’ abatement costs. Under perfect information we find that (a) the total-cost-effective design of a program based on standards is one in which the standards are firm specific and perfectly enforced, and (b) the total cost of an optimally designed program based on standards is lower than the total cost of an optimally designed transferable emission permits system, except under special conditions. This is true when it is optimum to induce perfect compliance and when it is not. Under imperfect information, nevertheless, it is only by implementing a system of tradable permits and perfectly enforcing it with a constant marginal penalty tied to the price of the permits, that the regulator can surmount the informational problem and at the same time minimize the total cost of the program with certainty.     

Contributions of HRM throughout the stages of environmental management: methodological triangulation applied to companies in Brazil

The purpose of this research is to analyze the contribution of human resources management throughout the evolutionary stages of environmental management in Brazilian companies. A theoretical framework concerning environmental management and its evolution and the ‘greening’ of the functional and competitive dimensions of human resource management were developed. A methodological triangulation was developed in two complimentary phases. In the first phase, data were collected from 94 Brazilian companies with ISO 14001 certification. The data collected were analyzed and processed using statistical techniques. The conclusions of the first phase supported the second phase of this empirical research. The second phase consisted of a study of multiple cases in four Brazilian companies. The results show evidence of the first known empirical study of contributions of human resource dimensions throughout the stages of environmental management in Brazilian manufacturing companies.     

Modelling Anti-inflationary Monetary Targeting in Romania

This paper characterises Romania's experience with anti-inflationary monetary targeting over the period 1999–2005 prior to the country's switch to inflation targeting. We uncover the National Bank of Romania's preferences, conditional on an estimated macro-model. We find that Romania's monetary targeting regime can be characterised by a concern for price stability and an additional role for smoothing of the central bank's instrument (base money growth). Exchange rate variability and output gap stability appear not to significantly enter the National Bank of Romania's objective function.     

Demand shocks and market manipulation

In this paper, we analyze the conflicts of interest of an informed agent who is responsible for divulging his private information about a company and has a reward function positively dependent on its stock price. We assume that the demand for the stock is subject to shocks that may increase it. We show that the presence of this “captive demand” leads to increased incentives to misrepresent the truth and manipulate the market. As an application, we investigate the case where the shocks represent the degree of social interactions among employees of a company whose CFO is the informed agent.      

Outsourcing Operations in Project Management Offices: The Reality of Brazilian Companies

The purpose of this study is to explore the mechanisms that influence decisions regarding outsourcing competencies in the operation of project management offices (PMOs). The exploratory research described here involves the use of a web‐based survey for enterprises in Brazil. In 78 of the survey's valid cases, the PMO is operated using the organization's internal resources. A possible conclusion is that the PMO is unlikely to positively relate to the culture of external services used by the organization and to use outsourcing to operate the PMO.     

Estimating non-linear serial and cross-interdependence between financial assets

This paper proposes an approach based on copula families to determine shape and magnitude of non-linear serial and cross-interdependence between returns and volatilities of financial assets. It is evident the predominance of the student’s t copula in returns relationships. Association in tails is generally larger than the absolute. There is a fast decrease in association along time, but even after 5 days, there is still dependence between returns. For volatilities, Joe copula predominates in estimated bivariate relationships fit. Clayton copula rotated 180° (survival), Gumbel, BB6 and BB8 copulas also fit some relationships. The magnitude of lagged associations is larger for risks than returns. Persistence in the dependences is very high, and decreases very little after the first lag. The tail dependence has larger values than the absolute in most relationships. We present a practical application of the proposed approach, based on optimal investment allocation and risk prediction.