English football began taking steps towards becoming a business earlier than Spanish football did, and academic studies on the football industry to date also focus primarily on football in the UK. The evidence for the relationship between sports performance and revenues appear clear in English football. There is even research about the effects of a club's wealth on its sports performance, or the effects of a club's sporting situations on its finances. In this paper, we analyse the relationship between sports performance and the revenues of football clubs as well as the effect of sports performance on the financial results in Spanish professional football. In order to carry out this research we have had to select which variables to analyse and choose the most appropriate methods of measurement. We have designed a system which obtains a variable of sports performance that includes information from every competition in which the football club participates.

This study explores corporate strategies regarding intangibles. We argue that companies consciously or unconsciously follow particular investment strategies in intangibles by allocating resources among intangible assets. The key contribution of our research is a new way to classify companies according to intangibles employed. The research question is if intangible-intensive profile exists. For the purpose of our each profile is identified on the intersection of the relevant theory of intellectual capital and empirical investigation. The intellectual capital concept enables elaboration of the framework of each company's profile. The empirical analysis provides us with the clusters matched with the theoretical framework. The database consists of about 1700 listed European companies observed from 2004 till 2011. The database includes figures from annual statistics and financial reports. The information about intangibles was collected from publicly available sources like company websites, patent and information bureaus, and rating agencies. As a result more than 20 indicators are involved in the analysis. K-means clustering allows us distinguishing four major profiles of intangible-intensive companies. The empirical analysis allows identification of three profiles of companies: two of them (innovative and conservative) represent intangible intensive strategy. The third profile that doesn't have clear priorities in intangibles was called in this study moderate (low) and was used as a benchmark to examine if intangible-intensive profiles enable better performance.

This paper addresses the complexity of the assessment and analysis of the economic flows generated by sporting events. It stands out the knowledge and analysis of the characteristics of sporting events as drivers of economic impact. This analysis provides information on those aspects that generate profit and can be exploited, and those that are not so significant and can improve or change. In tum, facilitates the classification of sporting events within a typology proposal, which considers the economic dimension of the same. Likewise, it explains all the problems of conducting impact analysis, the statistical disadvantages and misuse or misleading use of the same.