Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/187749 
Autor:innen: 
Erscheinungsjahr: 
2016
Quellenangabe: 
[Journal:] European Financial and Accounting Journal [ISSN:] 1805-4846 [Volume:] 11 [Issue:] 3 [Publisher:] University of Economics, Faculty of Finance and Accounting [Place:] Prague [Year:] 2016 [Pages:] 125-138
Verlag: 
University of Economics, Faculty of Finance and Accounting, Prague
Zusammenfassung: 
The estimation of multiple structural break models is usually associated with identification of spurious break points, which are identified by universal algorithms. This leads to overvaluation of structural distress in financial markets represented by data series. The paper is focused on an estimation of the new index, which incorporates results of Student, Bartlett, GLR, Mann-Whitney, Mood, Lepage, Kolmogorov-Smirnov and finally Cramer-von-Mises tests statistics together. The new measure is named Structural Distress Index and evaluates a probability of structural break occurrence based on estimations of proposed models. SDI values show that Czech and Polish stock markets went through more instable period in 1990s than at the beginning of the global financial crisis in 2007. SDI measure is straightforward and can be easily explained, the highest values of SDI can identify the most important break points of the research period, which starts in year 1993 and ends in year 2014. Universality of SDI offers its further extension and application to further research of financial markets.
Schlagwörter: 
Aggregation
Central Europe
Stability
Stock markets
Structural break analysis
JEL: 
C13
C51
G14
G15
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Article

Datei(en):
Datei
Größe
287.1 kB





Publikationen in EconStor sind urheberrechtlich geschützt.