The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.     

Pricing of a structured product on the SX5E when the uncertainty of returns is modeled as a log-stable process

This work presents the participation factor and the valuation of a first-generation structured product with European call options on the Eurostoxx, when the uncertainty of the yields is modeled through log-stable processes. The basic statistics of the index yields are also exposed, the α-stable parameters are estimated, and the valuation of the of the structured models is compared through the log-stable and log-Gaussian models using inputs from the bond markets; concluding that investors obtain higher yields than those of the bond market through both models, and that the differences of the yields depend on the participation factor and on the value of the index at the time of liquidation.     

Helping behavior in a virtual crisis situation: effects of safety awareness and crisis communication

Incident evaluations show that bystanders tend to help: they do not wait for professionals to arrive, but act as required by the situation at hand. In the present study, we investigated how safety awareness (induced before an accident happened) and providing a course of action by emergency services affect helping behavior after witnessing a virtual accident with two victims. The main task of the participants was to arrive at a job interview in time. Safety awareness was manipulated by the specific organization they went to: either promoting safe traffic or healthy living. The results show that all participants were inclined to help. Participants who were primed towards safe traffic more often called the emergency number, but talked to the victim less often. Participants who had received specific courses of action moved the victim less often. In all, the results clearly indicate the value of effective risk communication (before an event occurs) and crisis communication (after an event has occurred), as both types of information improve the quality of actual helping behavior at the scene.     

Risk-based capital for credit insurers with business cycles and dynamic leverage

This paper develops a risk-based capital pricing model for credit insurance portfolios held by a vulnerable insurer. The model accounts for business cycles using a two-state Markov switching model, and allows for dynamic leverage adjustment by the insured firms. The new proposed model, which incorporates risk-based capital practice, is better for both the insurer and the insured firms. Based on the risk-adjusted performance metric, we found that the insurer is better off insuring short- and medium-term loans in expansion and steady states, while it is better off backing both short- and long-term loans in recessions. Our results also emphasize that macroeconomic uncertainty significantly impairs the creditworthiness of the insurer and insured firms.     

Waves and Determinants in Mergers and Acquisitions: The Case of Latin America

This article contributes to the current literature on mergers and acquisitions (M&As) by identifying the existence of waves and the determinants of M&A activity in the economies of Argentina, Brazil, Chile, Colombia, Mexico, and Peru. From a sample of 2,391 M&A announcements reported by Thomson One on these countries, applying the methodology proposed by Harford (2005), evidence of M&A waves is found for the periods 1995–2002 and 2003–2010, as reported for other regions in various international studies. After controlling for economic and business environment variables, as well as for profitability and book-to-market variables at the industry level, we find evidence that supports neoclassical theory as a main explanation for M&A activity but not for the misvaluation effect.     

Stock markets fragmentation,volatility and final investors

The 2000s in equity markets are marked by two major regulatory shocks: RegNMS in the United States, and MiFID in the European Union. Simultaneously, there is a massive increase in the proportion of high-frequency trading, and market orders volume. However, trading volumes do not significantly increase. We propose a theoretical model describing the effects of stock markets fragmentation on two types of investors optimization problems: “intermediary” high-frequency and “final” investors. Volatility has a permanent and a transitory component, whose weights depend on market fragmentation via the share of non-marketable orders of intermediary investors. The trading volume of final investors depends on market fragmentation both directly via transaction costs, and indirectly via total volatility. Finally a shock in fragmentation may lead to a decrease in trading volume, enhanced in the case of an equity markets crisis by a rise in the components of volatility.     

Relationship Between Sustainable Development and Financial Performance: International Empirical Research

The aim of this paper is to clarify the relationship between companies' sustainable behavior and their financial performance (FP), which has been studied for several years without reaching a consensus on the effect and the direction of it. Hypotheses are tested for an unbalanced sample of 1960 multinational non‐financial listed companies from 25 countries and one administrative region for the period between 2002 and 2010. Due to the use of an international database and the differences among countries, it is possible to observe divergence between institutional settings. For this reason, a corporate governance system (Anglo‐Saxon, Germanic, Latin and Asian) is used as characteristic of the macro‐environment. Results obtained via the generalized method of moments estimator allow us to support the existence of a positive bidirectional relationship between corporate social responsibility and FP, evidencing the existence of a synergistic circle. The use of market value indicated that investors are able to identify economic, social and environmental practices generating a positive effect on FP. These relationships differ between corporate governance systems, due to the specific characteristics of each system. Findings are robust for each sustainable sub‐index (society, human rights, environmental and board). Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment