Work

Frequent News and Pure Signals: the Case of a Publicly Traded Football Club

Year: 2006

Type: article

Abstract: ABSTRACT We use stock market data for Borussia Dortmund GmbH & Co. KGaA – one of the leading German football clubs – for an application of the news model. Owing to the specific characteristics of the news‐generating process, the case of a publicly traded sport club is a very appropriate candidate for testing this model. By applying a traditional as well as a reversed news model, we elaborate whether new information can explain subsequent changes in the stock price of Borussia Dortmund. We find that sport as well as corporate governance‐related variables are important drivers of the stock price.

Source: Scottish Journal of Political Economy

DOI: 10.1111/j.1467-9485.2006.00391.x

Author: Georg Stadtmann

Institutions: Indiana University Bloomington, Indiana University, WHU – Otto Beisheim School of Management

Language: English

Topic: Financial Markets and Investment Strategies

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W3123558983

FWCI: 3.7

Cites: 25

Cited by: 77

Related to: 10