Urban Poverty,Segregation and Social Networks in São Paulo and Salvador,Brazil

General consensus exists concerning the relevance of networks and space in poverty situations, despite a considerable dispute on the prominence of each element. While social‐support and poverty debates highlight the joint importance of space and networks, the research agenda on contemporary communities suggests that networks have recently started replacing space in social integration. These debates mainly consider networks and ties normatively and are restricted to the global North, hampering the formulation of comparative interpretations and more theoretical conclusions. This article discusses the relationship between space, sociability and poverty, based on research results on networks of poor individuals in two major Brazilian metropolises—Salvador and São Paulo. Research indicates the existence of great heterogeneity in the networks of poor individuals, although with substantial differences, on average, to middle‐class individuals. Certain types of networks and sociability are systematically associated with better living conditions, employment and income. Additionally, network mobilization by individuals presents important regularities associated with social mechanisms, understood as regular patterns that trigger or cause certain results. These mechanisms explain to a great extent the heterogeneity of networks, and mediate the individual's access to opportunities and everyday assistance. They therefore contribute decisively to the production (and reproduction) of urban poverty.     

Joan Robinson on Population Growth

Joan Robinson’s views on population growth have received scant attention. The aim of this article is to summarize and evaluate aspects of Robinson’s perspectives on population. The population question is considered in terms of four specific topics: the problem of growth, the labor market, effective demand and economic development. The article also interprets Robinson’s approach in light of the endogenous theory of economic growth in order to more explicitly elucidate Robinson’s own statements. It is concluded that an economic interpretation of population growth based on Robinson’s approach requires some specific adaptations if it is to be feasible. It is hoped that this line of approach is useful to scholars of the history of economic thought, economic development or theory of economic growth.     

FOREIGN DIRECT INVESTMENT IN MEXICO,CRIME, AND ECONOMIC FORCES

This paper re‐examines inflows of foreign direct investment (FDI) in the 32 subnational Mexican states based on quarterly data from 2005 to 2015, which includes rising drug‐related crimes. We estimate our models using panel data methods by type of crime, state‐level indicators (real wages and electricity consumption), macroeconomic forces (the real exchange rate and interest rate), and a dummy variable for the financial crisis of 2008–2009. We employ a flexible lag‐length method and find that homicides and thefts have negative and statistically significant effects on FDI, while other crimes have no effects. Subsample work suggests higher negative effects in the most violent states. (JEL F15, F21, F23, F36)     

Institutional Constraints,Stakeholder Pressure and Corporate Environmental Reporting Policies

Within the theoretical framework of socio‐political economics, and more specifically of stakeholder theory, this work examines whether companies operating under different institutional constraints and stakeholder pressure tend to emphasize different models of corporate environmental reporting. Furthermore, the paper tests whether different corporate environmental reporting policies are driven by the countries' corporate governance systems. A sample of 3931 international companies was examined through a logistic biplot and conditional mean linear regression models. The main results reveal that companies follow two distinct environmental reporting approaches, which depend on specific stakeholders and institutional requirements. The first model, which is followed by firms within codified law countries, mostly focuses on water and emissions. The second approach, mainly followed by companies operating in common law countries, emphasizes materials and energy issues. This finding reveals that companies gradually modify their environmental strategies to make themselves more compatible with the characteristics of the social and institutional environment, which will result in several corporate benefits. The paper provides several outstanding implications for companies' strategic managers, national institutions and firms' stakeholders, especially for investors and customers. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Evaluating the Technical Provisions for Traditional Brazilian Annuity Plans: Continuous-Time Stochastic Approach Based on Solvency Principles

This article presents an approach for evaluating the liabilities of traditional Brazilian annuity plans, using a continuous-time stochastic approach based on modern solvency principles. The technical provisions are obtained by means of conditional expectation, under a real-world measure and considering the peculiar characteristics of each plan and the financial guarantees and profit participations (bonus and dividend plans) embedded in the annuity plans. We assume that policyholder behavior is not optimal, but we also illustrate a calculation of provision assuming optimal policyholder behavior to show the differences between both assumptions. In this article all explicit provisions formulas are derived, and several relevant conclusions about the values of these provisions are discussed.     

On the index tracking and the statistical arbitrage choosing the stocks by means of cointegration: the role of stock picking

In this paper, we propose a new methology for Index Tracking (IT) by means of cointegration which provides some significant improvements on that field. As the quality of the tracking portfolio (TP) depends highly on the stock selection procedure, we propose picking the stocks using a model selection technique based on optimizing the cointegration level of the TP and the benchmark index instead of selecting, as in previous papers the assets by ad hoc decisions. To illustrate an empirical application of these techniques we use daily closing prices in the Dow Jones Industrial Average (DJIA) index over two different periods; one period which goes from 1 January 1990 to 31 December 2001 previously used by other authors, and the bear and a turmoil period, which goes from January 2007 to May 2012, inside the current financial crisis. Using only five assets we are able to successfully track the DJIA index and our results improve the IT technique based on cointegration that chooses stocks with maximum capitalization level. We also have compared our results with a more traditional procedure based on correlation and again our results reveal superiority. The empirical illustration not only has been focused on the TP itself, but has also been extended to tracking the index with an added profitability of 5, 10, 15 or 20% and to long-short strategies, producing profitable results.     

Inference on factor structures in heterogeneous panels

This paper develops an estimation and testing framework for a stationary large panel model with observable regressors and unobservable common factors. We allow for slope heterogeneity and for correlation between the common factors and the regressors. We propose a two stage estimation procedure for the unobservable common factors and their loadings, based on Common Correlated Effects estimator and the Principal Component estimator. We also develop two tests for the null of no factor structure: one for the null that loadings are cross sectionally homogeneous, and one for the null that common factors are homogeneous over time. Our tests are based on using extremes of the estimated loadings and common factors. The test statistics have an asymptotic Gumbel distribution under the null, and have power versus alternatives where only one loading or common factor differs from the others. Monte Carlo evidence shows that the tests have the correct size and good power.     

Optimal close-to-home biases in asset allocation

This article studies optimal portfolio decisions with (long-term) liabilities for small open economy based investors, including the optimality of currency hedging (Walker (2008a). Chile is the home country of the representative investor, but results are likely to hold more generally. The problem is set up as in [Sharpe & Tint, 1990] and [Hoevenaars et al., 2007]. Hedging the liabilities and the consumption currency may imply optimal close-to-home biases, defined as overweighting asset classes which are highly correlated with local ones. The implementation challenges include: developing a methodology to estimate expected returns in local (real) currency; estimating the covariance matrix allowing for serial and crossed-serial correlations; and checking the results' robustness using a resampling method. The findings are: (i) portfolios always have optimal close-to-home biases, beyond the investment in local fixed income to hedge liabilities; (ii) currency hedging reduces investment in close-to-home asset classes, (iii) but has ambiguous effects on welfare — detected with the resampling method; (iv) currency hedged long-term US bonds are useful for hedging local interest rate risk; and (v) liabilities give access to high risk-return portfolios, not affecting otherwise the overall shape of the efficient regions. This article can be useful to investors based on small open economies, including pension funds, insurance companies, sovereign wealth funds and Central Banks.     

Optimal exploration investments under price and geological‐technical uncertainty: a real options model

This article develops a real options model for valuing natural resource exploration investments (e.g. oil or copper) when there is joint price and geological‐technical uncertainty. After a successful several‐stage exploration phase, there is a development investment and an extraction phase. All phases are optimized contingent on price and geological‐technical uncertainty.
Several real options are considered. There are flexible investment schedules for all exploration stages and a timing option for the development investment. Once the mine is developed, there are closure, opening and abandonment options for the extraction phase. Our model maintains a relatively simple valuation structure by collapsing price and geological‐technical uncertainty into a one‐factor model.
We apply the model to a copper exploration prospect and find that a significant fraction of total project value is due to the operational, development and exploration options available to project managers.