Correlations in emerging market bonds: The role of local and global factors

This paper empirically assesses co-movements in emerging market bond returns and disentangles the roles of external and domestic factors during episodes of heightened market volatility. The conceptual framework, set in the context of asset allocation, allows us to describe the channels through which shocks originating in a particular emerging or mature market are transmitted across countries and markets. We show that a simple measure of cross-country correlations, when presented together with the more commonly used average correlation coefficient, can be more informative during episodes of heightened market volatility. Data for the period 1997–2008 are analysed for evidence of true contagion and common external shocks.     

The cost of equity of internet stocks: a downside risk approach

Beta as a measure of risk has been under fire for many years. Although practitioners still widely use the CAPM to estimate the cost of equity of companies, they are aware of its problems and are looking for alternatives. A possible alternative is to estimate the cost of equity based on the semideviation, a well-known and intuitively plausible measure of downside risk. Complementing evidence reported elsewhere about the ability of the semideviation to explain the cross-section of returns in emerging markets and that of industries in emerging markets, this article reports results showing that the semideviation also explains the cross-section of Internet stock returns.     

Market timing: A global endeavor

This paper employs daily fund and index data, the classical Treynor and Mazuy timing model, and two multi-factor extensions to measure the market timing ability of global asset allocation funds. These funds differ from traditional global or international funds in that they face fewer investment constraints and are known to actively shift funds across a wide variety of asset classes. When using the classical Treynor and Mazuy timing models, I find evidence of poor market timing ability. However, this evidence disappears when timing ability is examined using two multi-factor models. The results from Treynor and Mazuy are spurious since both multi-factor extensions do a much better job in explaining the variation in average fund returns.     

Governance, Democracy and Poverty Reduction: Lessons Drawn from Household Surveys in Sub-Saharan Africa and Latin America

Public statistics face quite a challenge when it comes to measuring new dimensions of development (institutions, governance, and social and political participation). To take up this challenge, modules on Governance, Democracy and Multiple Dimensions of Poverty have been appended to household surveys by National Statistics Institutes in twelve African and Latin American developing countries. This paper presents the issues addressed and the methodological lessons learnt along with a selection of findings to illustrate this innovative approach and demonstrate its analytic potential. We investigate, for instance, the population's support for democratic principles, the respect for civil and political rights and the trust in the political class; the ‘need for the State’, particularly of the poorest; the extent of petty corruption; the reliability of expert surveys on governance; the perception of decentralization policies at local level; the level and vitality of social and political participation, etc. The conclusive appraisal made opens up prospects for the national statistical information systems in the developing countries. The measurement and tracking of this new set of objective and subjective public policy monitoring indicators would benefit from being made systematic.     

THE ECONOMIC IMPACTS OF VOLUNTARY ENVIRONMENTAL PERFORMANCE OF FIRMS: A CRITICAL REVIEW

Abstract.  New trends in studies on the governance of natural assets include substantial consideration of the role of voluntary initiatives. A traditional economic view states that there is a trade-off between being green and being competitive. According to that view, no voluntary environmental action is expected to occur. To undertake an in-depth analysis of the scope for voluntary action, this paper reviews empirical literature that analyzes the relationship between manufacturing firms' environmental initiatives or performance and economic results. This review moves beyond the general test of the 'pay to be green' hypothesis, preferring instead to systematize empirical results in more specific research questions. Empirical findings of the reviewed literature generally support that there is no penalty for being green. In addition, the typology of firms, the methods utilized for implementing environmental initiatives, the intensity of abatement efforts and stockholders' valuation of green firms have all been shown to have a sizeable influence on the actual economic results of environmental action or management. Consequently, the findings of this paper challenge the traditional strategic theory that predicts widespread free-riding; it holds major implications for environmental policy-making and environmental business decisions.     

Community views of ecotourism

Ecotourism can be an incentive for conservation, especially when it triggers positive economic change. Yet it introduces many changes to communities:positive and negative, social and economic. The full range of change is seldom evaluated in direct relation to conservation at the local level. In this study of three Amazon ecotourism projects, local leaders discussed changes from ecotourism in their communities. Economic benefits were mentioned, but so were new restrictions on time, decreased reciprocity, and social conflict. Other changes included heightened self-esteem and greater community organization. Such shifts should be considered in relation to conservation as they affect the stability of local institutions and the prospects for long-term collective action for resource management.     

Measuring the Impact of Corporate Investment Announcements on Share Prices: The Spanish Experience

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre-crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings-related news; and (3) predicted earnings changes which proved too extreme.     

Downside Risk in Practice

Although investors associate risk with negative outcomes and downside fluctuations, modern portfolio theory does not. For investors, volatility per se is not necessarily bad; volatility below a benchmark is. A stock that magnifies the market's fluctuations is not necessarily bad; one that magnifies the market's downside swings is. Even Harry Mar‐kowitz, the father of modern portfolio theory, viewed downside risk as a better way to assess risk than the “mean‐variance” framework that he ultimately proposed and that has since become the standard. This article highlights the shortcomings of traditional measures of risk (the standard deviation and beta), introduces the concept of downside risk, and discusses two measures of it—the “semideviation” and “downside beta.” It also discusses the use of such measures in asset pricing models to estimate required returns on equity. Data from a few well‐known companies are used to illustrate that the cost of equity based on downside risk can be substantially different from that based on the CAPM. The article concludes with a brief discussion of risk‐adjusted returns and a comparison of the traditional method of calculating such returns with both the Sharpe ratio and its counterpart in a downside risk framework, the Sortino ratio. The appendix demonstrates how to calculate these risk measures in Excel.     

Technical change and irreversible investment under risk

A stochastic dynamic model was constructed to analyze investment decisions of an individual farme under risk in the presence of legibilities, embedded technical change and indivisible capital. An analytical solution was obtained and its local behavior studied by numerical methods. Optimal investment is obtained by regulating the difference between the desired and actual capital stocks between two barriers that define an inaction interval. While the desired capital drifts between the barriers, no action is taken. If the desired capital touches the upper barrier, the farmer invests pushing the average efficiency of the actual capital stock up. This in turn raises the desired capital even higher and contracts the inaction interval. If these effects are strong enough, the farmer will invest again until the potential gains of the technological package are exhausted. If the desired capital falls enough, the farmer disinvests, pushing down the average productivity and expanding the inaction interval. Disinvestment continues until it slops either because the inaction interval becomes so wide that it is no longer optimal to disinvest or because the actual capital stock is so small that it is no longer profitable to produce.