Fiscal multipliers in the Eurozone: an SVAR analysis

We compute the value of fiscal multipliers (for government primary expenditure, Income and wealth taxes and for Production and import taxes) in the Eurozone countries since the creation of the currency union (2000Q1-2016Q4), in order to understand how the values can vary according to the public debt level, the pace of economic growth, and the output gap. Imposing quarterly fiscal shocks, the results showed that government expenditure had a positive effect on output, with an annual accumulated multiplier of 0.44, whereas tax multipliers presented negative signs: the Income and wealth and the Production and import taxes stood at ?0.11 and ?0.55, respectively. Furthermore, the spending multiplier showed a higher value for countries with lower levels of public debt, during recessions, and in countries with negative output gaps. On the other hand, tax shocks seemed to be recessive in highly indebted countries and those facing positive output gaps.     

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.     

Quantification of the environmental impacts of road conditions in Brazil

This study evaluates the impacts of Brazilian highway conditions on fuel consumption and, consequently, on carbon dioxide (CO₂) emissions. For the purpose of this study, highway conditions refer to the level of highway maintenance: the incidence of large potholes, large surface cracks, uneven sections, and debris. Primary computer collected data related to the fuel consumption of three types of trucks were analyzed. The data were derived from 88 trips taken over six routes, each route representative of one of two highway conditions: better or worse. Study results are initially presented for each type of truck being monitored. The results are then aggregated to approximate the entire Brazilian highway network. In all cases, results confirmed environmental benefits resulting from travel over the better routes. There was found to be an increase in energy efficiency from traveling better roads, which resulted in lower fuel consumption and lower CO₂ emissions. Statistical analysis of the results suggests that, in general, fuel consumption data were significant at *P < 0.05, rejecting the null hypothesis that average fuel consumption from traveling the better routes is statistically equal to average fuel consumption from traveling the worse routes. Improved Brazilian road conditions would generate economic benefits, reduce dependency on and consumption of fossil fuels (due to the increase in energy efficiency), and reduce CO₂ emissions. These findings may have additional relevancy if Brazil needs to reduce carbon dioxide emissions to reach future Kyoto Protocol's emissions targets, which should take effect in January 2013.     

A time diversification approach to the emerging stock markets of Latin America: Argentina,Brazil, Chile,and Mexico

This article provides the analytical basis for the adoption of a longer view to portfolio diversification in Latin America. The benefits to be gained through time diversification are studied in the context of four countries: Argentina, Brazil, Chile, and Mexico. The empirical evidence of actual annualized returns indicates that risk in investment in Latin American equity returns tends to diminish over longer term investment horizons.     

Rock around the clock: An agent-based model of low- and high-frequency trading

We build an agent-based model to study how the interplay between low- and high-frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt trading rules based on chronological time and can switch between fundamentalist and chartist strategies. By contrast, high-frequency traders activation is event-driven and depends on price fluctuations. High-frequency traders use directional strategies to exploit market information produced by low-frequency traders. Monte-Carlo simulations reveal that the model replicates the main stylized facts of financial markets. Furthermore, we find that the presence of high-frequency traders increases market volatility and plays a fundamental role in the generation of flash crashes. The emergence of flash crashes is explained by two salient characteristics of high-frequency traders, i.e., their ability to i. generate high bid-ask spreads and ii. synchronize on the sell side of the limit order book. Finally, we find that higher rates of order cancellation by high-frequency traders increase the incidence of flash crashes but reduce their duration.     

Welfare-improving cooperation with a consumer-friendly multiproduct corporation

We consider a multiproduct corporation that adopts consumer-friendly activities and cooperates with single-plant firms for improving welfare. We show that full cooperation is socially beneficial if products are strong complements, whereas partial cooperation with higher consumer-friendly activities is beneficial if products are substitutes. We also examine a sequential choice game of endogenous cooperation in which the multiproduct corporation can induce (partial or full) cooperation and show that our findings are still consistent at equilibrium. We finally compare different ownership of the single-plant firms and find that foreign ownership decreases the benefits of cooperation.     

CSR Information Disclosure on the Web: A Context-Based Approach Analysing the Influence of Country of Origin and Industry Sector

Corporate social responsibility (CSR) has become a much-discussed subject in the business world. The Internet has become one of the main tools for CSR information disclosure, allowing companies to publicise more information less expensively and faster than ever before. As a result, corporations are increasingly concerned with communicating ethically and responsibly to the diversity of stakeholders through the web. This paper addresses the main question as whether CSR information disclosure on corporate websites is influenced by country of origin and/or industry sector. Analysing the websites of 127 corporations from emerging countries, such as Brazil, Chile, China, India, Indonesia, Mexico, Thailand and South Africa, it becomes evident that both country of origin and industry sector have a significant influence over CSR information disclosure on the web (CSRIDOW). Based on the data studied, country of origin has a stronger influence over CSRIDOW than industry sector.

Rethinking the Employees’ Perceptions of Corporate Citizenship Dimensionalization

The article suggests that the four-factor model of corporate citizenship (CC: economic, legal, ethical, and discretionary responsibilities) does not fairly represent all pertinent dimensions of employees’ CC perceptions. Based on an empirical study with a sample of 316 employees, we show that, at least in some contexts, individuals distinguish seven CC dimensions: (1) economic responsibilities toward customers; (2) economic responsibilities toward owners; (3) legal responsibilities; (4) ethical responsibilities; (5) discretionary responsibilities toward employees; (6) discretionary responsibilities toward the community; and (7) discretionary responsibilities toward the natural environment. We do not suggest that this seven-factor model represents all of the (more) relevant CC dimensions in the employees’ minds. We aim to share evidence showing that the four-factor model proposed by Maignan et al. (Journal of the Academy of Marketing Science 27(4):455–469, 1999) may be refined, at least when the employees are the stakeholders in question.