Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

Medición y comprensión del comercio de tareas en el sector de los servicios

La revolución de las TIC ha generado un alto riesgo de deslocalización de las tareas más comercializables en el sector de los servicios. Se revisan aquí estudios que proponen indicadores de comerciabilidad de los servicios, exploran las implicaciones de su deslocalización y desarrollan modelos teóricos al respecto. Tanto el nivel de calificación requerido como la comerciabilidad podrían ser determinantes clave de los efectos sobre los salarios y el empleo. Sin embargo, la falta de definiciones consensuadas de comerciabilidad y de datos fiables sobre el comercio de servicios, junto con la dificultad de evaluar la competencia de las importaciones a niveles desagregados, obstaculizan el avance de los estudios empíricos y descubren áreas para futuras investigaciones.     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.     

Product Market Competition,Monetary Policy Regimes and Inflation Dynamics: Evidence from a Panel of OECD Countries

We empirically analyze the impact of product market competition on the responsiveness of inflation to macroeconomic imbalances. If competition is high the response of inflation to lagged inflation, unemployment and import prices is reduced, while inflation is more responsive to changes in productivity growth in countries in which competition is above the OECD average. Given the (‘good luck’) macroeconomic trajectories of the 1990s–2000s, the structural reforms that made goods markets more competitive improved the ability of OECD economies to smooth (dis)inflationary shocks, while changes in the monetary policy framework had a modest role in taming inflation during the Great Moderation.     

Can environmentally oriented CEOs and environmentally friendly suppliers boost the growth of small firms?

The core question addressed in the natural resource‐based view (NRBV) of the firm is how to develop and exploit resources beneficial for both the natural environment and firm performance. Due to the resource constraints and increased competition facing small manufacturing firms, achieving this is a challenge for such companies. Building on the NRBV and resource orchestration literatures, we examine the relationship between green purchasing capabilities (GPCs), CEO's environmental orientation (EO), and firm growth. Results from 304 Swedish small manufacturing firms indicate a significant relationship between GPC and growth, and this relationship is positively moderated by the EO of the CEO.     

Examining the predictive validity of SUS-TAS with maximum parsimony in developing island countries

The Sustainable Tourism Attitude Scale (SUS-TAS) has been used as a tool to gauge the sentiment of local residents toward sustainable tourism development. This scale has been validated in cross-cultural settings by several scholars. In a like manner, in order to validate this scale, data were collected in the Cape Verde islands (off the coast of Africa) and the results showed (1) a parsimonious version of the 21-item SUS-TAS that facilitates the process of data collection without compromising its robustness and psychometric properties, (2) a validated second-order factor model, confirming that the seven factors of SUS-TAS can be loaded in two broader dimensions named “perceived tourism impacts” and “expected tourism sustainability”, (3) a SUS-TAS second-order factor model with validity in predicting residents’ support for sustainable tourism development, (4) that SUS-TAS can be interpreted by seven individual factors and/or as a global factor as indicated by the hierarchical measurement model and predictive validity. Methodological and theoretical interpretations are discussed and future refinement and applications are also offered.     

The evolution of world trade from 1995 to 2014: A network approach

This paper employs network analysis to study world trade from 1995 to 2014. We focus on the main connective features of the world trade network (WTN) and their dynamics. Results suggest that countries’ efforts to attain the benefits of trade have resulted in an intertwined network that is increasingly dense, reciprocal, and clustered. However, these features do not correspond to a linear aggregation of the characteristics of its constituents (trade sectors). Trade linkages are distributed homogeneously among countries, but their intensity (i.e. their value) is highly concentrated in a small set of countries. The main connective features of the WTN were not affected by the 2007–2008 international financial crisis. However, we find that the crisis marks a turning point in the evolution of the WTN from a two-group (led by the US and Germany) to a three-group (led by the US, Germany, and China) hierarchical structure.     

Pay dispersion among the top management team and outside directors: Its impact on firm risk and firm performance

Two key groups central to improving firm performance are the top management team (TMT) and the board of directors. Executives undertake strategic actions, whereas board members fulfill their resource provision and monitoring roles. Drawing on tournament theory and equity theory, we propose that high pay dispersion among outside directors and the TMT is positively associated with strategic risk, whereas high (low) TMT pay dispersion and low (high) outside director pay dispersion are positively associated with firm performance. Our predictor is the unexplained component of horizontal pay dispersion, or the residual of pay dispersion resulting from regressing pay on observable firm, industry, period, and individual characteristics. Our results highlight the importance of unexplained pay dispersion for TMTs, but not for boards of directors, in improving firm performance.