The endless need for regulation in telecommunication: An explanation

Telecommunication services have existed as a legal monopoly nearly throughout its entire history. In 1998, telecom market liberalisation was achieved across the European Union (EU) through the introduction of competition among telephone services. Asymmetrical obligations were deemed necessary in order to compensate the market power of the former monopolist.As the evolution of asymmetrical regulation in Spain illustrates, obligations and the telecommunications operators subject to them increased with the regulatory framework established in 2002 in the EU. This new regulatory framework may continue to expand through the inclusion of functional separation as another possible asymmetrical obligation. In short, it seems that the regulatory pressure on the telecommunications industry is increasing, despite the lapse in time since the liberalisation of the industry.In this paper, a methodology developed by the Austrian School of Economics is applied in order to explain why the telecommunication market is subject to increasing regulation in Europe, rather than deregulation, after more than 10 years of liberalisation. In particular, Mises's theory of price control is used to explain the evolution of the regulation of local loop unbundling.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

Changing rewards in contests: Has the three-point rule brought more offense to soccer?

In the mid-nineties FIFA decided to increase from two to three the number of points assigned to the winning team of a soccer match played under traditional round-robin national leagues. Since a game of soccer can be regarded as a contest, FIFA's measure provides an interesting case-study for analysing how a change in the system of rewards (from a zero to a non-zero sum rule) may affect the contestants' equilibrium behaviour. In this paper we try to assess, both theoretically and empirically, whether FIFA's new point rule has changed soccer towards a more offensive game, in which teams adopt more risky strategies. In particular, we evaluate the “na?ve hypothesis” according to which the measure would induce every team to play always more offensively, and we explore the extent to which the change in teams' behaviour may be affected by quality differentials between teams. Our most important hypothesis is that when the asymmetry between opposing teams is large enough, an increase in the reward for victory induces the weaker team to play more defensively, rather than the opposite. By looking at a subset of matches held in the Portuguese first division league, which approximate the conditions of our model, we find support for this hypothesis. First version received: July 1999/Final version received: May 2001     

The dynamics and revealed preference of status-quo optimality

Summary In a preceding companion paper, a static model of individual decision making was proposed that, due to imprecise perceptions, induces simple and inertial behavior at equilibrium (status-quo optimal) points. This paper addresses two complementary issues. Firstly, it studies the learning dynamics induced by the model and shows that its well-defined limit behavior ranges from status-quo optimal to fully optimal, depending on the underlying features of the problem. Secondly, the paper characterizes the behavioral implications of the model and compares them with those derived from standard decision-theoretic frameworks. Specifically, it is shown that, from a Revealed-Preference perspective, status-quo optimal behavior may be identified with that rationalizable by an acyclic preference relation, possibly intransitive.     

Technological change, human capital update and growth policies

This paper presents a model of growth driven simultaneously by innovation and human capital accumulation. Two different long-run equilibria are possible, according to whether or not workers skills are completely updated over time as knowledge expands. Skill gaps could arise as a consequence of poor education infrastructures, even in the efficient solution; in such circumstances, we find that whilst education policies are able to encourage growth, R&D policies are not. Otherwise, subsidizing education becomes ineffective for enhancing growth, although it could be necessary to avoid possible skill gaps originated by the R&D growth-enhancing policy.JEL Classification: O41, O33The authors wish to thank the financial support received for the project SEC 2001-2469 (Ministry of Science and Technology, Spain, and FEDER), as well as the comments of the co-editor and the referees.     

Money and exchange rates in the Grossman-Weiss-Rotemberg model

We analyze the impact of monetary policy on inflation, interest rates and exchange rates in a model with segmented asset markets developed by Grossman and Weiss (1983) and Rotemberg (1984, 1985). We find parameters for which real and nominal exchange rates in this model are (1) much more volatile than interest rates, inflation rates, and money growth rates, (2) highly correlated with each other, and (3) highly persistent. While this model fails to match the data in other important respects, it illustrates a potentially useful approach to modelling exchange rate behavior.     

Bridging the gap: How sustainable development can help companies create shareholder value and improve financial performance

This study examines the effect of integrating sustainability into corporate strategy on various aspects of shareholder value creation and financial performance in the British capital market. The employed method is based on the content analysis of corporate disclosures and a new technique for assessing the adoption of the corporate sustainability concept (embracing the environmental, social, and financial aspects of a company's policies at the same time). Using extensive data of FTSE 350 firms covering the years 2006–2012, 65 companies were selected as meeting corporate sustainability criteria. For the above period, we find that these firms were characterized by higher financial risk exposure, lower asset growth rates, lower BV/MV ratios, lower EVA ratios, and higher MVA ratios. Such relations were generally present among different size and industry groupings. The results support the thesis that firms that incorporate sustainability issues into their business operations are better able to leverage their resources toward stronger financial performance and shareholder value creation than other companies. The paper contributes to the literature by offering a more holistic approach to corporate sustainable performance measurement and shedding additional light on its relation to financial performance in the context of the recent global financial crisis and its direct aftermath.     

An Alternative Approach to the Measurement of Emotional Attachment

Emotional attachment (EA)—the emotional bond connecting an individual with a specific target—has been identified as an important construct within the marketing domain. Despite all the research, there is no consensus on how the construct should be measured. A major factor contributing to this confusion is that current definitions and, consequently, scales of EA focus on describing reactions toward specific referents of attachment rather than on capturing the extent of emotion an individual feels; hence, hindering construct validity. In this article, the authors scrutinized the concept validity of EA. After defining the construct, scale development procedures were followed to propose an alternative one‐dimensional scale that reflects the abstract nature of EA. Three studies support the scale's reliability as well as the discriminant, convergent, criterion, and nomological validity of the measure. The studies tested the scale under different marketing contexts. Moreover, by employing the new measure, the findings showed that EA and self‐concept maintenance (SCM) are related, yet different constructs. Specifically, the results showed that these constructs interact to predict willingness to pay (WTP) for a brand such that when SCM is low, WTP is predicted by EA. However, when self‐concept is high, the effect of EA on WTP is not that strong. This new scale will help researchers extend research on EA to a broader set of contexts, explore the relationship between EA and related constructs, develop nomological networks, and prevent the confounding of terms.     

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.