Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/25341
Autor:innen: 
Eckel, Stefanie
Löffler, Gunter
Maurer, Alina
Schmidt, Volker
Datum: 
2009
Schriftenreihe/Nr.: 
SFB 649 Discussion Paper No. 2009,025
Verlag: 
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk, Berlin
Zusammenfassung: 
Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contained in the S&P 500 that we examine, both approaches lead to similar results: correlation increases with decreasing distance. Contrary to previous studies, however, we find that differences in distance do not matter much once the firms' headquarters are more than 40 miles apart, or separated through a federal border. Finally, we show through simulations that distance can significantly affect portfolio risk. Investors wishing to exploit local information should be aware that local portfolios are relatively risky.
Schlagwörter: 
stock returns
residual correlation
mark correlation function
geographical comovement
portfolio analysis
JEL: 
R12
G11
G14
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
406.68 kB





Publikationen in EconStor sind urheberrechtlich geschützt.