A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies

Justifying ridge regression from a geometrical perspective is one of the main contributions of this paper. To the best of our knowledge, this question has not been treated previously. This paper shows that ridge regression is a particular case of raising procedures that provide greater flexibility by transforming the matrix X associated with the model. Thus, raising procedures, based on a geometrical idea of the vectorial space associated with the columns of matrix X , lead naturally to ridge regression and justify the presence of the well-known constant k on the main diagonal of matrix X ^′ X . This paper also analyses and compares different alternatives to raising with respect to collinearity mitigation. The results are illustrated with an empirical application.     

A unified framework for robust modelling of financial markets in discrete time

Finance and Stochastics - We unify and establish equivalence between the pathwise and the quasi-sure approaches to robust modelling of financial markets in finite discrete time. In particular, we...     

Country-by-Country Reporting: A Step Towards Unitary Taxation?

Intereconomics - Multinational companies are now obliged to deliver an annual report to the tax authorities with information disaggregated by country (country-by-country reporting) in order to show...     

Marketing capabilities and innovation. How do they affect the financial results of hotels?

From the point of view of firms’ managers, the knowledge of the factors which explain their firms’ financial results is considered of great usefulness to propose the most appropriate and profitable marketing strategies and actions. This research sets out from this central idea and proposes a model of relationships that considers the marketing results, the marketing capabilities, and the innovation capability as key factors for achieving good financial results. This model is verified via an empirical investigation carried out among 200 directors of hotel establishments in Andalusia, a region in the south of Spain which is one of the country's main tourist destinations. The results indicate that innovation capability is strongly conditioned by marketing capabilities and resources and that this innovation capability affects the financial results of the firms analyzed. Likewise, it is deduced that a market-oriented management philosophy contributes to the development of these marketing capabilities. The implications for management are considered very relevant as they must lead these firms to invest in the development of marketing resources and capabilities, and apply a market-oriented management philosophy if they wish to improve their financial results.     

Assessing Systemic Importance With a Fuzzy Logic Inference System

Three metrics are designed to assess Colombian financial institutions' size, connectedness and non-substitutability as the main drivers of systemic importance: (i) centrality as net borrower in the money market network; (ii) centrality as payments originator in the large-value payment system network; and (iii) asset value of core financial services. An aggregated systemic importance index is calculated based on expert knowledge by using a fuzzy logic inference system. We use principal component analysis to calculate a benchmark index for comparison purposes. Overall similarities between both indexes put forward that expert knowledge aggregation is consistent with that based on a purely quantitative standard approach. Specific non-negligible differences concur with the nonlinear features of an approach whose intention is to replicate human reasoning. Both indexes are complementary and provide a comprehensive relative assessment of each financial institution's systemic importance in the Colombian case, in which the choice of metrics pursues the macroprudential perspective of financial stability. Copyright © 2015 John Wiley & Sons, Ltd.     

Production Technology Estimates and Balanced Growth

Capital‐labour substitution and total factor productivity (TFP) estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the substitution elasticity and TFP growth can be substantially biased if technical progress is thereby mis‐specified. We obtain analytical and simulation results in the context of a model consistent with balanced and near‐balanced growth (i.e. departures from balanced growth but broadly stable factor shares). Given this evidence, a constant elasticity of substitution production function system is then estimated for the US economy. Results show that the estimated substitution elasticity tends to be significantly lower using a factor‐augmenting specification (well below one). We are also able to reject conventional neutrality forms in favour of general factor augmentation with a non‐negligible capital‐augmenting component. Our work thus provides insights into production and supply‐side estimation in balanced‐growth frameworks.     

Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?

This paper finds that participants in the European Central Bank’s Survey of Professional Forecasters have submitted forecasts that are consistent with a (mostly forward-looking) empirical version of the New Keynesian Phillips Curve for the euro area. The estimation technique takes advantage of the panel nature of the Survey of Professional Forecasters’ dataset to exploit both its time series and cross-section dimensions, and to control for unobservable individual heterogeneity across forecasters. The estimation results suggest that euro-area inflation forecasts have reacted less to unemployment forecasts after the start of the financial crisis but another cost measure (energy inflation) remains significant. This finding is consistent with a flatter Phillips Curve in the euro area after 2007. However, the reasons suggested by the International Monetary Fund for this finding, namely a better anchoring of inflation expectations and increases in structural unemployment do not seem to find support in the survey data. Instead, the expectations for compensation per employee submitted by professional forecasters are consistent with the existence of downward real-wage rigidities in euro-area labour markets.     

Build Coalitions to Fit: Autonomy Expectations,Competence Mobilization,and Job Crafting

Job crafting offers several beneficial organizational outcomes, yet little is known about what makes employees engage in it. In particular, the role of leaders in influencing their subordinates to engage in job crafting has been insufficiently studied. Drawing on role theory, we suggest that the congruence of leader‐subordinate autonomy expectations nurtures subordinates’ experiences of having their competences adequately utilized in their jobs. This experience, which involves the competence mobilization of their work roles, subsequently fosters subordinates’ engagement in job‐crafting behavior. A two‐stage field study of 145 leader‐subordinate dyads using cross‐level polynomial regression and response surface analysis supported the (in)congruence hypotheses. The results also demonstrated that subordinates’ perceived competence mobilization mediates the relationship between autonomy expectation (in)congruence and job crafting. In addition, leader coalition as a moderator strengthens the effect of perceived competence mobilization as a psychological condition for job crafting. Implications for practice and future research are discussed. © 2016 Wiley Periodicals, Inc.     

The market valuation of ethical assets in Spain: an application of the hedonic pricing method

The aim of this paper is to calculate the market valuation of non‐financial characteristics, namely, the social responsibility criteria (social, ethical and environmental) included in the Spanish Socially Responsible Investment Funds. The hedonic price method is applied for this purpose. This method relates the price of Socially Responsible Investment Funds with both financial and social responsibility characteristics. Because of the large number of social responsibility characteristics included in these funds, prior to application of the hedonic price method, the principal components factor analysis technique is used. The data are taken from the prospectus for each fund and from the data provided by the National Securities Market Commission. Results indicate that the Spanish market is sensitive to the social responsibility practices of companies. In particular, the market value practices related to environmental sustainability, the enforcement of labour rights, sustainable production and consumption and non‐abusive market practices.