The Recognition of Goodwill and Other Intangible Assets in Business Combinations – The Portuguese Case

In this study, we investigate the magnitude of goodwill recognised in business combinations during the years 2005 to 2009 by the Portuguese companies listed on Euronext Lisbon, and characterise the amount of the other intangible assets recognised separately from goodwill. We also analyse the level of compliance of those companies with the main disclosure requirements of International Financial Reporting Standard (IFRS) 3 – Business Combinations. Our study, which involves the analysis of 197 business combinations, reveals that the amounts of goodwill continue to be highly material, while conversely, the value of identifiable intangible assets in those acquisitions is very low. The results suggest that Portuguese companies do not undertake sufficient efforts to individually identify and disclose intangibles acquired in business combinations. This fact is reinforced by the reduced level of compliance with the disclosures required by IFRS 3, particularly the factors that contribute to the recognition of goodwill. Our findings provide feedback to standard setters in an effort to improve practice in the application of IFRS 3. Moreover, they reinforce their recent concerns regarding the post‐implementation review of business combinations, as well as the ongoing project of the IASB, whose objective is to improve disclosures in existing standards.     

Maximum entropy: a stochastic frontier approach for electricity distribution regulation

The literature on incentive-based regulation in the electricity sector indicates that the size of this sector in a country constrains the choice of frontier methods as well as the model specification itself to measure economic efficiency of regulated firms. The aim of this study is to propose a stochastic frontier approach with maximum entropy estimation, which is designed to extract information from limited and noisy data with minimal statements on the data generation process. Stochastic frontier analysis with generalized maximum entropy and data envelopment analysis—the latter one has been widely used by national regulators—are applied to a cross-section data on thirteen European electricity distribution companies. Technical efficiency scores and rankings of the distribution companies generated by both approaches are sensitive to model specification. Nevertheless, the stochastic frontier analysis with generalized maximum entropy results indicate that technical efficiency scores have similar distributional properties and these scores as well as the rankings of the companies are not very sensitive to the prior information. In general, the same electricity distribution companies are found to be in the highest and lowest efficient groups, reflecting weak sensitivity to the prior information considered in the estimation procedure.

     

Option strategies: Good deals and margin calls

We provide evidence that trading frictions have an economically important impact on the execution and the profitability of option strategies that involve writing out-of-the-money put options. Margin requirements, in particular, limit the notional amount of capital that can be invested in the strategies and force investors to close down positions and realize losses. The economic effect of frictions is stronger when the investor seeks to write options more aggressively. Although margins are effective in reducing counterparty default risk, they also impose a friction that limits investors from supplying liquidity to the option market.     

Factors Affecting Motivation to Transfer Training

This study examines the relationship of motivation to transfer skills and knowledge learned in a computer-based training programme with five groups of variables: individual or general attitudes, situational specific attitudes, reactions, learning, and work environment factors. Hierarchical regression analysis produced a model which explained 60.5% of the variance in motivation to transfer. Individual attitudes and environmental variables explained most of the variance in motivation. A number of mediated relationships were suggested.     

HETEROGENEITY AND THE PUBLIC SECTOR WAGE POLICY

A model with search and matching frictions and heterogeneous workers was established to evaluate a reform of the public sector wage policy in steady state. The model was calibrated to the U.K. economy based on Labour Force Survey data. A review of the pay received by all public sector workers to align the distribution of wages with the private sector reduces steady‐state unemployment by 1.4 percentage points.     

Economic development and inflation: a theoretical and empirical analysis

This paper studies the relation between inflation and economic development. The literature is largely silent regarding both the theoretical and empirical perspectives that undeveloped countries endure higher average inflation than developed economies. We present a simple theoretical model linking the inflation phenomenon to the tradition of development economics. Empirical evidence is garnered to test the hypothesis that economic development engenders a downward bias to inflation rates. Through the feasible-GLS estimator in a panel of 65 countries from 2001 to 2011, we aim at listing a number of variables most commonly used to explain differences in the stage of economic development across countries and identifying the most statistically relevant ones to account for differences in inflationary patterns. While our results show that inflation is inversely correlated with the level of the technological content of the economy (measured by share of high-tech exports), human capital and cyclical unemployment, it is directly related to the degree of inflation persistence and terms of trade growth. However, our findings still present an inverse and low correlation between inflation persistence and economic development, implying that development-sensitive variables allowed into the model can only partially account for the differences in inflation at different levels of economic development.     

The impact of international information disclosure requirements on market discipline

Financial regulators are challenged with finding the most efficient and effective ways to monitor banks given an expanding and complex international financial system. Market discipline has grown in importance as a way to discourage banks from taking on unnecessary risk. One of the main drivers of market discipline is information disclosure. While the literature on market discipline is expansive, there are no known studies on the impact of individual information disclosure requirements on market discipline. Our study investigates which specific disclosure requirements influence financial investors to discipline banks and which do not. We find that information disclosure requirements primarily reduce or have no impact on market discipline practices.     

LIMITED ENFORCEMENT,FINANCIAL INTERMEDIATION,AND ECONOMIC DEVELOPMENT: A QUANTITATIVE ASSESSMENT*

We present a model of economic development where the importance of financial differences caused by limited enforcement can be measured. Economies where enforcement is poor direct less capital to the production sector and employ less efficient technologies. Calibrated simulations reveal that the resulting effect on output is large. Furthermore, the model correctly predicts that the average scale of production should rise with the quality of enforcement. Finally, we find that the importance of limited enforcement rises with the importance of capital in production.