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.     

Success factors in a CRM strategy: technology is not all

Organisations today need to create, maintain and reinforce relationships with customers. Customer Relationship Management (CRM) seems to have helped firms to better understand their relationships. However, past studies have looked at technology and customer orientations (COs) as key factors. This paper aims to analyse the simultaneous effect of Market Orientation (MO) (rather than CO), Knowledge Management (KM) and other organisational factors in order to explain how to implement a successful CRM. Findings suggest that MO and KM may influence CRM success. Data also suggest that particular organisational factors such as employees, leadership and specific know-how may be key factors in determining the success of CRM. For efficiency resource management, this paper recommends to focus not as much in technology, but on programmes for selection, training and motivation of employees which may enhance CRM objectives. Companies may also pursue a higher customer value by putting in place and reinforcing KM schemes in specific know-hows about CRM.     

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.     

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.     

Surplus distribution and characteristics of social enterprises: Evidence from microfinance

The issue of surplus distribution has hardly been analyzed in the context of the social economy. This paper highlights the main drivers of distribution between various stakeholders of microfinance institutions (MFIs), which are an example of social enterprises. We focus on three major variables: size, governance structure and subsidies. Our results show that the size of the institution is the main indicator of the surplus that the organization keeps as a self-financial margin. Moreover, MFIs with a cooperative ownership structure allocate a larger part of their surplus to their employees, whereas non-profit organizations and shareholder-firm MFIs do not allocate their surplus in a significantly different way among their main stakeholders. Finally, we do not find any clear-cut effect of subsidies on the surplus allocation process.     

Differences in Roma and non-Roma students’ ratings of their peers’ popularity: an inquiry into the oppositional culture in Hungarian schools with the use of a survey experiment

Quality & Quantity - Oppositional culture theory posits that students who belong to oppressed ethnic minority groups define their ethnic identity in opposition to the majority of students....     

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.