Diversification strategies and firm performance in Vietnam

This paper is based upon the assumption that a firm's profitability is determined by its degree of diversification which is, in turn, strongly related to the antecedent decision to carry out diversification activities. This calls for an empirical approach that permits the joint analysis of the three interrelated and consecutive stages of the overall diversification process: diversification decision, degree of diversification and outcome of diversification. We apply parametric and semi‐parametric approaches to control for sample selection and the endogeneity of the diversification decision in both static and dynamic models. For the analysis, we use the census dataset on the whole firm population in Vietnam, as a representative of transition countries. After controlling for industry fixed‐effects, the empirical evidence from the firm‐level data shows that diversification has a curvilinear effect on profitability: it improves firms’ profit up to a point, after which a further increase in diversification is associated with declining performance. This implies that firms should consider optimal levels of product diversification when they expand their product offerings beyond their core business. Other noteworthy findings include the following: (i) the factors that stimulate firms to diversify do not necessarily encourage them to extend their diversification strategy; (ii) firms that are endowed with highly technological resources and innovation investment are likely to successfully exploit diversification as an engine of growth; and (iii) while industry performance does not have a strong influence on the profitability of firms, it impacts their diversification decision as well as the degree of diversification.     

A class of statistical models to weaken independence in two-way contingency tables

In this paper we study a new class of statistical models for contingency tables. We define this class of models through a subset of the binomial equations of the classical independence model. We prove that they are log-linear and we use some notions from Algebraic Statistics to compute their sufficient statistic and their parametric representation. Moreover, we show how to compute maximum likelihood estimates and to perform exact inference through the Diaconis-Sturmfels algorithm. Examples show that these models can be useful in a wide range of applications.     

Der Umweltberatungsmarkt in Deutschland

The paper will analysis the market segment of management oriented environmental consulting in Germany. First, the environment consulting is classified to the theoretical field of consulting. On this basis, qualitative and quantitative market analysis is done. Furthermore, the function of the public authorities as third actor in the consulting system is identified. Finally, an outlook of the market development of environmental consulting in the next years is given.     

Assessing the Value Relevance of Accounting Data After the Introduction of IFRS in Europe

Since 2005, European‐listed companies have been required to prepare their consolidated financial statements in accordance with the International Financial Reporting Standards (IFRS). We examine whether value relevance increased following the introduction of IFRS, using a sample of 3,721 companies listed on five European stock exchanges: Frankfurt, Madrid, Paris, London, and Milan. We find mixed evidence of an increase in value relevance. However, the influence of earnings on share price increased following the introduction of IFRS in Germany, France, and the United Kingdom, while the influence of book value of equity decreased (except for the United Kingdom).     

Buy Smart,Time Smart: Are Takeovers Driven by Growth Opportunities or Mispricing?

Excessively high pricing by bidders and targets can be explained by new growth opportunities created by the merger or by irrational overpricing in financial markets. We integrate both explanations through a new decomposition of firm value and investigate whether it is “true” growth value or mispricing that drives takeover waves. We find that “bidders buy smart.” Bidders primarily have high market values because of growth opportunities and overpricing, and select targets that are less overpriced with similar fundamental growth value. Bidders also seem to “time smart.” Takeover activity increases when bidders are more overpriced, in order to cushion against price corrections.