Merger policy in innovative industries

We analyze optimal merger policy in R&D-intensive industries with product innovation aiming to improve the quality of products. Our results suggest that a permissive merger policy is rarely optimal in high-tech industries when the antitrust authority considers a welfare standard that balances the impact of mergers on consumers’ surplus and firms’ profits. In particular, relative to a benchmark where the effects from R&D are absent, we show that the optimal merger policy should not be substantially more permissive in the presence of those effects from R&D.     

Market Structure And The Adoption Of Innovations: The Case Of The Spanish Banking Sector ‡

This paper is an empirical study of the determinants of adoption time for the teleprocess terminal by Spanish commercial and savings banks. The explanatory variables include the characteristics of the adopting firms, size, and in the case of the savings banks, the structure of the market and concentration. The results indicate that the speed of adoption is maximized at intermediate levels of size and market concentration, confirming one theoretical prediction of models of diffusion: namely, that adoption time is minimized at intermediate levels of market concentration.     

Trade credit in SMEs: a quantile regression approach

This article analyses the determinants of the trade credit in Spanish manufacturing small and medium-sized enterprises (SMEs) from a new perspective. Specifically, we focus on the relationship between trade credit and other relevance financial resources: bank credit and self-financing. For the first time in the literature, a quantile regression approach is used, which takes into account the heterogeneity of firms in different quantiles of trade credit distribution. Our results show that the relationship between trade credit and other financial sources presents dissimilarities, including differences in sign, on SMEs with different degrees of trade credit. Our findings help to clarify the confusing results achieved in previous research on this topic.     

Loan price modelling for local governments using risk premium analysis

Previous studies have highlighted the question of government loan interest as one of great current importance. Government borrowing levels are high, and reducing interest payments would generate savings to meet other spending needs and/or to lower taxation, thus supporting the sustainability of public finances. However, no previous study has presented a method for a local government to calculate its own credit risk and thus be in a position to negotiate lower interest rates on its borrowing. This article defines a financial model that enables local governments to estimate the interest rate payable on a bank loan, based on their credit risk premium, in accordance with the Basel II rules and the findings of our empirical study of large local governments.     

Sales forecasting in financial distribution: a comparison of quantitative forecasting methods

This paper deals with the issue of forecastability of sales activities of independent financial advisers (agents). Employing the most common quantitative methods on a diverse sample of timelines from multiple advisory companies, we have found that under most settings, these methods offer sub-par performance with high relative errors and no statistical differences between them. When a more granular approach is applied (reflecting sales unit size), ARIMA and the simple moving average emerge as significantly less accurate. This outcome is true for all sales units regardless of their size, when relative error is concerned. Thus, our analysis confirms the difficult forecastability of financial sales, speaking against the utilisation of more sophisticated forecasting methods, which mostly fail when compared to their much simpler and less costly counterparts.

     

Country Differences in Material Deprivation in Europe

This paper assesses to what extent differences in the characteristics of individuals (micro‐level perspective) and country‐specific factors (macro‐level perspective) can explain country differences with respect to material deprivation levels. Thus, our work aims to simultaneously consider the macro dimension and the predominantly individually‐oriented study field of material deprivation using multilevel techniques. We make use of the European Union Statistics on Income and Living Conditions. Our results show that country‐specific factors seem to be much more relevant than individual effects in explaining country differences in material deprivation. We estimate that the introduction of country‐specific factors reduces the proportion of total variance due to between‐country differences in deprivation by 72.7 percent, while individual‐level variables reduce this proportion by only 9.4 percent. We also show, through interaction variables, that the effect of sociodemographic characteristics can be shaped by institutional and structural factors, especially by the level of GDP.     

Pricing of a structured product on the SX5E when the uncertainty of returns is modeled as a log-stable process

This work presents the participation factor and the valuation of a first-generation structured product with European call options on the Eurostoxx, when the uncertainty of the yields is modeled through log-stable processes. The basic statistics of the index yields are also exposed, the α-stable parameters are estimated, and the valuation of the of the structured models is compared through the log-stable and log-Gaussian models using inputs from the bond markets; concluding that investors obtain higher yields than those of the bond market through both models, and that the differences of the yields depend on the participation factor and on the value of the index at the time of liquidation.     

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.     

Influence of institutional environment on entrepreneurial intention: a comparative study of two countries university students

Institutional environment influences the perceptions of desirability and feasibility, society’s social and cultural environment, such as beliefs, values and attitudes, conditions behaviour and decisions made by individuals. This research evaluates the influence of institutional environment on entrepreneurial intention using a comparative analysis of different attitudes among university students in two countries: Portugal and Spain. In particular, this study aims to examine the perceptions of desirability, feasibility and intention toward the creation of one’s own business and how that variables influence the entrepreneurial intention as compared these two different institutional contexts. Results revealed difference among attitudes toward entrepreneurship in both countries. With respect to the perception of feasibility, the majority of students in Extremadura (Spain) consider that it is easier to create a business in nowadays than it was several decades ago. However, from the students of Beira Interior (Portugal) consider that it is more difficult. Furthermore, in Extremadura, the entrepreneurial intention is higher than in Beira Interior.     

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.