Intangible assets and value relevance: Evidence from the Portuguese stock exchange

We assess the value relevance of the amounts for identifiable intangible assets and goodwill reported in the financial statements of all non-finance companies listed on the main market of the Portuguese Stock Exchange from 1998 to 2008. Additionally, we use panel data to explore the impact on value relevance of Portugal’s formal adoption of International Accounting Standards [IAS] and International Financial Reporting Standards [IFRS] in 2005. A distinctive feature of the accounting by our sample companies is that when they adopted IAS 38 and IFRS 3 in 2005, they were no longer required to recognise some intangible assets (such as start-up costs and research expenditures) and were no longer required to amortise goodwill.We find that net earnings, reported goodwill and other intangible assets are highly significantly associated with stock price. However, whereas earnings are related positively to stock prices when Portuguese Generally Accepted Accounting Principles (GAAP) were applied prior to 2005, the value relevance of earnings appears to have declined after the adoption of IAS/IFRS in 2005. Although the change to IAS/IFRS had no impact on the value relevance of identifiable intangibles as a whole, the evidence suggests that there was a positive effect on the value relevance of goodwill. When the subclasses of identifiable intangible assets are considered, we found evidence of an increase in value relevance of goodwill, other intangible assets, and research and development expenditures.     

Between Rules and Incentives: Uncovering Hayek's Moral Economy

This article uncovers Hayek's moral economy. It focuses on the relation between markets, as well as on the nonmarket institutions on which the former rely, and the motivations that guide individuals' behavior. Despite his epistemological admonitions, Hayek has a rich set of suggestions about the functional importance of particular individuals' motivation and moral makeup for the development of a market society. This contributes to undermine his claims that a market society can be neutral among different values.     

Propensity to firm creation: empirical research using structural equations

The identification of the entrepreneurs’ characteristics and the knowledge of the entrepreneurial profile of university students have been assuming a growing importance in the development of educational programs directed towards the entrepreneurship and start-up processes. This study aims to identify the factors that most contribute for the intention to start up a business. The research also tries to identify the profile of a potential entrepreneur student concerning several characteristics: personal attributes, family, demographic variables and motivations. Research findings include the idea that entrepreneurship education is the most relevant factor in what concerns the propensity to business creation. On the other side, personal characteristics have an important role in shaping motivation to start-up a business and perceived hurdles have a negative impact in the intention to start-up. The results may be relevant when developing an adequate educational program directed to the entrepreneurship education and start-up processes.     

Estimators for the common principal components model based on reweighting: influence functions and Monte Carlo study

The common principal components model for several groups of multivariate observations is a useful parsimonious model for the scatter structure which assumes equal principal axes but different variances along those axes for each group. Due to the lack of resistance of the classical maximum likelihood estimators for the parameters of this model, several robust estimators have been proposed in the literature: plug-in estimators and projection-pursuit (PP) type estimators. In this paper, we show that it is possible to improve the low efficiency of the projection-pursuit estimators by applying a reweighting step. More precisely, we consider plug-in estimators obtained by plugging a reweighted estimator of the scatter matrices into the maximum likelihood equations defining the principal axes. The weights considered penalize observations with large values of the influence measures defined by Boente et al. (2002). The new estimators are studied in terms of theoretical properties (influence functions and asymptotic variances) and are compared with other existing estimators in a simulation study.     

Strategy and structure redux

Forty years on from Alfred Chandler's seminal book Strategy and Structure , in the following pages contemporary strategists examine the book's impact and Chandler's contribution to business theory.     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Data-mining,GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.     

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.