International Portfolio Diversification for European Countries : The Viewpoint of Hungarian and German Investors


Bugar, Gyöngyi ; Maurer, Raimond



Weitere URL: http://www.actuaries.org/AFIR/Colloquia/Tokyo/Buga...
Dokumenttyp: Zeitschriftenartikel
Erscheinungsjahr: 1999
Titel einer Zeitschrift oder einer Reihe: Kredit und Kapital
Band/Volume: 32
Heft/Issue: 4
Seitenbereich: 581-609
Ort der Veröffentlichung: Berlin
Verlag: Duncker & Humblot
ISSN: 0023-4591 , 1865-5734
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > ABWL, Risikotheorie, Portfolio Management u. Versicherungswissenschaft (Albrecht 1989-2021)
Fachgebiet: 330 Wirtschaft
Normierte Schlagwörter (SWD): Portfoliomanagement
Abstract: In this paper, we study the benefits derived from international diversification of stock portfolios from Hungarian as well as German point of view. The Hungarian Stock Exchange is an emerging market in contrast to the German capital market which is one of the largest markets in the world. In an ex post perspective the benefits from internationally diversified portfolios for Hungarian investors accrue only in terms of reduction in risk while for German investors also in terms of higher expected returns. By examining the performance of several ex ante strategies the paper also presents evidence on the benefits from international diversification for both countries. The strategies considered are the equally weighted (EQW), the minimum variance (MVP), the tangency (CET) and an equally risky portfolio as the domestic one (ERP). To evaluate the performance of the strategies, portfolio adjustment costs are taken into consideration. Because of the instability of sample mean returns, the Bayes-Stein transformation was applied to estimate the expected returns on portfolios. A theoretical finding of this paper is that in the case of our ERP strategy the Bayes-Stein estimation gives the same portfolio weights as the sample mean vector. So, no improvement in portfolio performance could be expected by combining the Bayes-Stein estimation technique with the ERP strategy.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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