Dominating estimators for minimum-variance portfolios

In this paper, we derive two shrinkage estimators for minimum-variance portfolios that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of assets d≥4$d\ge 4$ and number of observations n≥d+2$n\ge d+2$. The small-sample properties of the shrinkage estimators as well as their large-sample properties for fixed d$d$ but n→∞$n\to \infty$ and n,d→∞$n,d\to \infty$ but n/d→q≤∞$n/d\to q\le \infty$ are investigated. Furthermore, we present a small-sample test for the question of whether it is better to completely ignore time series information in favor of naive diversification.     

Dealing with Donald Trump

The logic for multilateral cooperation in trade and beyond becomes stronger, not weaker. A new governance forum will emerge, where negotiating will take place in country clubs instead of among members at the WTO.However, by breaking protocol, the US president has gained substantial bargaining power, because he puts himself in a situation in which he actually has to implement his threats if the negotiation counterparts do not confirm in order to save face on the domestic and global stages.     

The ‘disguised’ foreign investor: Brands,trademarks and the British expatriate entrepreneur in Brazil

Abstract

This article examines the impact of the British expatriate entrepreneur, and his processes of knowledge transfer, on the industrialization and economic development of Brazil between 1875 and 1914. It focuses on the textiles industry, and combines original trademark data with conventional trade and investment statistics, and also case study analysis about firms and their entrepreneurs. It argues that British investment in Brazil was higher and had a deeper impact on economic development than considered by existing research, as expatriate entrepreneurs ‘disguised’ a substantial amount of foreign investments by acting as shareholders and top managers of newly established local businesses.     

Antecedents of Perceived Value and Repurchase Intention of Organic Food

The rise of the natural and organic products market follows a global trend of increasing demand largely due to the growth of environmental awareness and the concern of having a healthier diet. Thus, the objective of this study is to propose and test a theoretical model based on antecedent constructs of perceived value and repurchase intention on the consumption of organic products. The results, based on 256 consumers of organic products, confirm the positive relationship between environmental awareness and perceived quality, healthy consumption, and perceived price fairness. Moreover, they underpin the influence of healthy consumption, perceived price fairness and perceived quality on perceived value, and lastly, the influence of perceived value on repurchase intention. Therefore, this study can help practitioners and consumers comprehend in a more systematic way the buying behaviour of this food category.     

Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts

We use the approach of Qu and Perron (Econom J 16(3):309–339, 2013) for the modeling and inference of volatility of a set of commodity prices in the presence of random level shifts of unknown timing, magnitude and frequency. Our approach contributes to the study of commodities in several aspects. First, we test for the presence of a genuine long-memory process in the volatility of commodities. Second, we determine that the random level shifts are certainly the main source of variation in the commodity price volatility. Finally, we estimate the volatility and its components as latent variables, thereby making it possible to evaluate their level of correlation with macroeconomic variables in small open economies such as Latin-American countries where the dependence on commodity price volatility is high. We use six commodity series: agriculture, livestock, gold, oil, industrial metals and a general commodity index. All series cover the period from January 1983 until December 2013 in daily frequency. The results show that although the occurrence of a level shift is rare, (about once every 1.5 or 1.8 years), this component clearly contributes most to the variation in the volatility. Furthermore, isolating the level shift component from the overall volatility indicates a strong relationship of this component with a set of business cycle indicators of several Latin American countries.     

Real exchange rate and export performance in Argentina, 2002–2008

Between 2002 and 2008, Argentina experienced a phase of very high and sustained economic growth. During this period, macroeconomic policy aimed to preserve a stable and competitive real exchange rate (SCRER). There is controversy on whether the SCRER policy was a key factor fostering growth and, even more, on whether it helped promote the expansion of tradable activities and exports. We use a methodology to detect episodes of export surges among Argentina’s export industries and find that labor-intensive industries—especially low- and medium-technology manufactures—experienced the highest proportion of export surges within this period. We also find that between 1980 and 2015, the highest proportion of surges in total exports occurred during the 2003–8 period. The performance of export of services was also particularly dynamic during this period. This evidence suggests that the SCRER policy was instrumental for export surges in Argentina during 2002–8.     

Enumeration of Nash equilibria for two-player games

This paper describes algorithms for finding all Nash equilibria of a two-player game in strategic form. We present two algorithms that extend earlier work. Our presentation is self-contained, and explains the two methods in a unified framework using faces of best-response polyhedra. The first method lrsnash is based on the known vertex enumeration program lrs, for “lexicographic reverse search”. It enumerates the vertices of only one best-response polytope, and the vertices of the complementary faces that correspond to these vertices (if they are not empty) in the other polytope. The second method is a modification of the known EEE algorithm, for “enumeration of extreme equilibria”. We also describe a second, as yet not implemented, variant that is space efficient. We discuss details of implementations of lrsnash and EEE, and report on computational experiments that compare the two algorithms, which show that both have their strengths and weaknesses.     

Market volatility and the dynamic hedging of multi-commodity price risk

Commodity cash and futures prices experienced a severe boom-and-bust cycle between 2006 and 2009. Increases in commodity price volatility have raised concerns about the usefulness of commodity futures and options as risk management tools. Dynamic hedging strategies have the potential to improve risk management when conditional (co)variances depart significantly from their unconditional, long-run counterparts and may be useful to decision-makers despite their greater complexity and higher transaction costs. We propose a Nonparametric Copula-based Generalized Autoregressive Conditional Heteroscedastic (NPC-GARCH) approach to estimate time-varying hedge ratios, and evaluate the benefits of dynamic hedging during four sub-periods between 2000 and 2011 using a stylized Texas cattle feedlot management problem. The NPC-GARCH approach allows for a flexible, nonlinear and asymmetric dependence structure between cash and futures prices for different commodities. We find that NPC-GARCH dynamic hedging performs better than either static, GARCH-Dynamic Conditional Correlation (DCC) or GARCH-Baba, Engle, Kraft and Kroner (BEKK) hedging in terms of lower tail risk (expected shortfall), but that there is no significant difference between hedging approaches in terms of portfolio variance reduction.     

The role of permanent and transitory components in the fluctuations of Latin–American real exchange rates

Following the approach suggested by Engel and Kim (1999 Engel, C. 1999. Accounting for U.S. real exchange rates changes. Journal of Political Economy, 107: 507–38. [Crossref], [Web of Science ®] , [Google Scholar]), we estimate the permanent and transitory components of the real exchange rates in four Latin–American countries for the period 1957:01 to 2002:04. Results suggest that transitory component is the driving force of the real exchange rates in Argentina and Mexico. A principal role of the permanent component is observed in the real exchange rates of Brazil and Chile. Estimates probabilities of the high-variance regime allow to identify the principal events happened in these countries. This information is closely related to nominal shocks and therefore, it explains the significant role of this component in these countries.