¿Hay evidencia de ciclo político-económico en el empleo sectorial de México, 1998-2013?

This paper looks for evidence of political-business cycles associated to the presidential elections in the Mexican sectorial employment over the period 1998-2013. By estimating panel data models, and controlling for the effects of the major determinants of employment, no evidence consistent with the predictions of the theoretical opportunistic model is found, i.e. whereas employment shows an expansion before and during the elections periods, the estimates are neither statistically significant nor robust. Furthermore, employment does not experience contractions after the elections or the office taking periods. Notwithstanding, the evidence suggests that employment is positively and negatively affected by output and real wages, respectively.     

Influencia de los sistemas de información en los resultados organizacionales

Over the last years, information systems (IS) have constituted the main focus of research in the business organization literature. This has created the need to identify their entrepreneurial value. The paper presents a theory-based model that was developed to assess the degree of IS success in SMEs. The aim of the proposed model is to determine the influence of IS on organizational performance. To achieve this aim, the Partial Least Square statistical technique is used to analyze data from 133 questionnaires administered to businesses across the state of Tamaulipas, Mexico. The results show that those enterprises that are more concerned with the improvement of the systems’ quality, information quality and the informatics service enhance the organizational outcomes. The present study contributes to the body of literature on the assessment of IS success in the context of an emerging country. In particular, the study provides a thorough assessment of the IS effectiveness and their impact on organizational performance.     

The influence of remuneration on the behavior of hospital employees in Brazil

The study aimed to analyze the employee's perception of the remuneration systems in two major hospitals in Brazil, one managed by the government and the other by private investors. The sample considered 109 respondents, out of which 54 were from the private hospital and 55 from the public hospital. After data collection on the sample population, perception of remuneration was associated with occupation, gender, age and experience, as suggested by the Upper Echelons Theory. The results show that remuneration is viewed as an instrument of control and behavior or a learning-inducing mechanism; however, the perceptions of employees working in the health area and administrative area were different. These findings show that the influence of fixed pay is different not only for the employees of both areas, but also in relation to the public and private hospital management. It was found that gender is not a determinant factor of behavior and that there were no differences between younger and older employees as well as between more experienced and less experienced employees with respect to the effect of remuneration on behavior. There were no differences in relation to the type of hospital either. In general, the results emphasize the importance of remuneration as an instrument of control and management, either in the context of public or private organizations.     

Economic integration,economic crises and economic cycles in Mexico

This article analyzes the peculiarity of the dynamics of economic fluctuations of the Mexican economy, within the framework of its integration with the US and Canada; the article demonstrates how the Mexican economy make endogenous the macroeconomic crises from the USA (2001 and 2007), and how the business cycles of both countries became more aligned to each other.Based on the heterodox economic theory of crises and cycles, we check the “empirical law of economic dynamics” of the Mexican capitalist system according to the logic of the multiplier–accelerator theory that allowed us to study the dynamics of business cycles for the period of the study (1993–2013). To do this, we construct and estimate a stationary VAR model and utilize the Granger causality tests and quarterly data.     

Coberturas financieras con derivados y su incidencia en el valor de mercado en empresas colombianas que cotizan en Bolsa

The financial theory (Modigliani & Miller, 1958) rises that risk management was not an issue for companies because shareholders could make their own hedging management through portfolio diversification; however, further studies conflict with that statement and show that corporate financial hedging improves performance and increases the value thereof (Ahmed, Azevedo, & Guney, 2014; Allayannis & Weston, 2001; Allayannis & Ofek, 1998). Efficient management of market risks, which is based on the use of financial derivatives, demands strategic and efficient managers in hedging that adds value to the firm, especially in against shocks and imbalances from a macroeconomic and financial nature. Empirical evidence analyzes the performance of the Q-Tobin as an indicator of the effect of hedging strategies of exchange rate associated to the market value. This paper aims to find evidence in Colombia on the effect of using derivatives in the market value of the firm. Its added value lies in the analysis made by economic sectors, identified by CIIU codes and grouped into 5 sectors (Agricultural, Commercial, Industrial or Manufacturing, Services and Construction). The methodology includes several models estimating regression panel data, using a Pooled regression with estimators of fixed and random effects by maximum likelihood estimator. In general, it was found a premium due to hedging, statistically and financially significant, for companies exposed to exchange rate risks that use derivatives by an average of 6.3% on the market value. Moreover, mixed results were found regarding the analyzed variables in the model.     

Does the bond‐stock earnings yield differential model predict equity market corrections better than high P/E models?

We extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a statistical significance test for crash prediction models. Finally, we propose a definition and a measure of robustness for these models. We apply our statistical test and measure the robustness of selected model specifications of the Price‐Earnings (P/E) ratio and Bond Stock Earning Yield Differential (BSEYD) measures. This analysis shows that the BSEYD and P/E ratios, were statistically significant robust predictors of corrections on the US equity market over the period 1964 to 2014.     

Non‐profit vulnerability: An exploratory study

This mixed‐method study explores the symptoms and potential causes of non‐profit vulnerability within the Australian context. Following two focus groups with CEOs and Chairs of non‐profit organizations, an online survey was developed, pilot tested and distributed to non‐profit CEOs. Our findings suggest three symptoms that might be particularly useful in identifying non‐profit vulnerability: a substantial increase in unit costs/delivery hours; a substantial increase in the proportion of administration to program expenses; and a reduced ability to pursue the organization's mission. The results also suggest various potential causes of non‐profit vulnerability; in particular, Board inadequacies; External environmental threats; Project management issues; and Funding constraints.     

The impact of the institutional environment on the value relevance of fair values

Most prior studies attribute valuation discounts on certain fair valued assets to measurement error or bias. We argue that institutional differences across countries (e.g., information environment or market sophistication) affect investors’ ability to process and impound fair value information in their valuation. We predict that the impact of the institutional environment on value relevance is particularly pronounced for reported fair values of assets designated at fair value through profit or loss (hereafter, “FVO assets”), for which investor experience is lowest and complexity is highest. Using a global sample of IFRS banks, we find that FVO assets are generally less value relevant than held-for-trading assets (HFT) and available-for-sale assets (AFS). By partitioning countries into market- and bank-based economies to proxy for institutional differences, we find that the valuation discount on FVO assets is more pronounced in bank-based economies. Additional tests suggest that this valuation discount is attenuated by a richer firm-level information environment and the presence of institutional investors with fair value experience.     

Intraday pairs trading strategies on high frequency data: the case of oil companies

This paper introduces novel ‘doubly mean-reverting’ processes based on conditional modelling of model spreads between pairs of stocks. Intraday trading strategies using high frequency data are proposed based on the model. This model framework and the strategies are designed to capture ‘local’ market inefficiencies that are elusive for traditional pairs trading strategies with daily data. Results from real data back-testing for two periods show remarkable returns, even accounting for transaction costs, with annualized Sharpe ratios of 3.9 and 7.2 over the periods June 2013–April 2015 and 2008, respectively. By choosing the particular sector of oil companies, we also confirm the observation that the commodity price is the main driver of the share prices of commodity-producing companies at times of spikes in the related commodity market.