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.     

What circumstances lead a government to promote brain drain?

This paper aims to complement the existing theoretical brain drain literature, focusing on the interaction between education, skilled emigration and government intervention in a small open economy. This article first characterises different emigration patterns that may arise in equilibrium, then seeks the conditions that lead a government to promote brain-drain. The model shows that the government may promote skilled emigration among workers with intermediate skills even though the resulting brain drain decreases per capita income. Emigrants remittances outweigh the income they would produce if they did not emigrate. Therefore, the government makes less severe the fall in per capita income that follows the brain drain by encouraging emigration among those skilled workers who are more productive abroad.     

Mergers and Acquisitions and Market Volatility of Brazilian Banking Stocks: An Application of GARCH Models

The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.     

Gaps between managers' and employees' perceptions of work–life balance

Research on work–life balance (WLB) practices has increased in recent years. Academics affirm that the implementation of WLB practices helps to achieve better organizational results and improve employee outcomes such as higher satisfaction and commitment, and reduce turnover intentions. However, some authors have argued that there are differences between the availability of WLB practices in companies and employees' perceptions of access to such practices. The literature on the differences in perceptions between managers and employees in relation to WLB and its effects is sparse. Using two samples of 229 managers and 511 employees from the same firms, we in this paper contribute to our knowledge of the existence of the perception gaps between managers and employees and their influence on the take-up of WLB. Implications for academics and practitioners are discussed.     

Looming stations: Valuing transport innovations in historical context

We investigate the impact of transport innovations on the productivity of urban locations in 1890–1936 Berlin, Germany. We find an increase in land value of up to 2.5% per 100 m decline in distance to urban railway station.     

Foreign informational lobbying can enhance tourism: Evidence from the Caribbean

There exist legal channels for informational lobbying of US policymakers by foreign principals. Foreign governments and private sector principals frequently and intensively use this institutional channel to lobby on trade and tourism issues. This paper empirically studies whether such lobbying effectively achieves its goal of trade promotion in the context of Caribbean tourism, and suggests the potential for using foreign lobbying as a vehicle for development. Panel data are used to explore and quantify the association between foreign lobbying by Caribbean principals and US tourist arrivals to Caribbean destinations. A variety of sensitivity analyses support the finding of a strong association. The policy implications are obvious and potentially important for developing countries.     

Congenital learning in the Spanish telecommunication industry

Knowledge provided by a firm's founder(s) is one of the most important success factors for SMEs. This paper aims to identify the impact of the founder's knowledge on business performance in today's organization. It is with this in mind that we propose a specialized organizational learning process, which we refer to as the congenital learning process, by which the firm transforms the tacit and explicit knowledge of the founder into knowledge which is available to the firm and its members. The research model and hypothesized relationships are empirically tested using the structural equation modeling (SEM) approach, validated by factor analysis of 130 SMEs in the Spanish telecommunications sector. Two structural equation models, derived from the literature, have been used, resulting in the conclusion that organizational performance is positively affected by the transfer and transformation of knowledge as long as the organization has implemented processes that lead to the creation of what we refer to as an open organizational context.     

Are financial spreads useful indicators of future inflation and output growth in EU countries?

This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time. © 1997 John Wiley & Sons, Ltd.