Chaotic Exchange Rate Dynamics Redux

This article generalizes the results shown in De Grauwe, Dewachter, and Embrechts (1993) in a more sophisticated framework. In their model, the speculative dynamics resulting from the interaction between chartists and fundamentalists are incorporated into a Dornbusch-style model to generate a chaotic nominal exchange rate. Here the model of Obstfeld and Rogoff (1995, 1996) replaces the Dornbusch model, and chaotic solutions are still shown to be possible for sensible parameter values.     

Consumption and Portfolio Choice over the Life Cycle

This article solves a realistically calibrated life cycle modelof consumption and portfolio choice with non-tradable laborincome and borrowing constraints. Since labor income substitutesfor riskless asset holdings, the optimal share invested in equitiesis roughly decreasing over life. We compute a measure of theimportance of human capital for investment behavior. We findthat ignoring labor income generates large utility costs, whilethe cost of ignoring only its risk is an order of magnitudesmaller, except when we allow for a disastrous labor incomeshock. Moreover, we study the implications of introducing endogenousborrowing constraints in this incomplete-markets setting.     

Exploiting short-run predictability

This paper measures the utility gains from exploiting short-run predictability in the volatility of stock returns in a dynamic model in the the presence of transaction costs, short-selling constraints and estimation risk. We find that utility gains are quite significant, both ex ante and out-of-sample.     

The Informational Role of Product Trade‐Ins for Pricing Durable Goods

This research theorizes that sellers of durable goods can utilize inferences about the buyer's willingness to pay based not only on her decision to trade in the old good but also on its characteristics. We find empirical support for this theory using transaction data for new car purchases. The results support the notion that dealers infer a higher willingness to pay and charge higher prices to consumers who trade in a used vehicle than to those who do not. We also find that dealers charge even higher prices to those consumers who trade in used cars that are similar to the new one.     

Stock Market Mean Reversion and the Optimal Equity Allocation of a Long-Lived Investor

This paper solves numerically the intertemporalconsumption and portfolio choiceproblem of an infinitely-lived investor whofaces a time-varying equity premium.The solutions we obtain are very similarto the approximate analytical solutionsof Campbell and Viceira (1999), except atthe upper extreme of the state spacewhere both the numerical consumption andportfolio rules flatten out.We also consider a constrained version ofthe problem in which the investor facesborrowing and short-sales restrictions.These constraints bind when the equitypremium moves away from its mean in eitherdirection, and are particularly severe forrisk-tolerant investors. The constraints havesubstantial effects on optimalconsumption, but much more modest effects onoptimal portfolio choice in theregion of the state space where they are notbinding.     

Extreme Value Theory and Statistics of Univariate Extremes: A Review

Statistical issues arising in modelling univariate extremes of a random sample have been successfully used in the most diverse fields, such as biometrics, finance, insurance and risk theory. Statistics of univariate extremes (SUE), the subject to be dealt with in this review paper, has recently faced a huge development, partially because rare events can have catastrophic consequences for human activities, through their impact on the natural and constructed environments. In the last decades, there has been a shift from the area of parametric SUE, based on probabilistic asymptotic results in extreme value theory, towards semi‐parametric approaches. After a brief reference to Gumbel's block methodology and more recent improvements in the parametric framework, we present an overview of the developments on the estimation of parameters of extreme events and on the testing of extreme value conditions under a semi‐parametric framework. We further discuss a few challenging topics in the area of SUE. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

Integrating Environmental,Social and Governance (ESG) Disclosure for a Sustainable Development: An Australian Study

Addressing environmental, social and governance (ESG) issues has become a critical part of business strategy. This article explores the extent of ESG reporting of metal and mining sector companies listed in the Australian Securities Exchange to determine the nature of ESG indicators in use in the sector. The current study argues that stakeholder engagement is the key to enhance company environmental policy and sustainable development. According to the results of this study, ESG reporting motives are highly influenced by reporting regulations. Given the diversity in reporting of ESG, comparability of ESG strategic performance is problematic. This study contributes towards developing an ESG disclosure index, which companies could use as a legitimacy tool that external stakeholders could use to reliably measure and compare the ESG performance of companies. It also reveals there is an increased demand for more empirical research on integration of sustainability into strategic planning process. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

When do improved covariance matrix estimators enhance portfolio optimization? An empirical comparative study of nine estimators

The use of improved covariance matrix estimators as an alternative to the sample estimator is considered an important approach for enhancing portfolio optimization. Here we empirically compare the performance of nine improved covariance estimation procedures using daily returns of 90 highly capitalized US stocks for the period 1997–2007. We find that the usefulness of covariance matrix estimators strongly depends on the ratio between the estimation period T and the number of stocks N, on the presence or absence of short selling, and on the performance metric considered. When short selling is allowed, several estimation methods achieve a realized risk that is significantly smaller than that obtained with the sample covariance method. This is particularly true when T/N is close to one. Moreover, many estimators reduce the fraction of negative portfolio weights, while little improvement is achieved in the degree of diversification. On the contrary, when short selling is not allowed and T?>?N, the considered methods are unable to outperform the sample covariance in terms of realized risk, but can give much more diversified portfolios than that obtained with the sample covariance. When T?<?N, the use of the sample covariance matrix and of the pseudo-inverse gives portfolios with very poor performance.     

Volunteerism,compassion and religiosity as drivers of donations practices

• The topic of donations is one of high relevance and has been widely covered in contemporary marketing literature. It is a topic of interest to both theoreticians and practitioners alike, particularly due to its implicit links to fundraising activities and research. The reality of what makes an individual donor ultimately part with his money and give it away to a nonprofit organization is a hot contemporary topic. This study looks into the role of religiosity as a predictor of donations practices. Also volunteerism and compassion, two acts of pro‐social behaviour are analysed as predictors of donations practices. Using data collected from a survey of 612 charity donors in Portugal, the results show unequivocally that religiosity does influence donations practices, and so being a predictor of donations practices. Moreover, pro‐social behaviour is a predictor of donations practices when in the case of volunteerism, but not in the form of compassion.
• The findings are particularly useful for nonprofit organizations that want to attract and retain individual charitable donors and may also help to increase donation regularity, to obtain higher amounts, and donations both to religious and to secular organizations. Finally, it can be stated that the understanding of religiosity sheds light on knowledge about donations practices, and that this study also makes an important contribution to academia, as it is the first study conducted in Portugal that assesses the drivers of donations practices.

Copyright © 2015 John Wiley & Sons, Ltd.