Artikel

Structural distress index: Structural break analysis of the Czech and Polish stock markets

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.

Language
Englisch

Bibliographic citation
Journal: European Financial and Accounting Journal ; ISSN: 1805-4846 ; Volume: 11 ; Year: 2016 ; Issue: 3 ; Pages: 125-138 ; Prague: University of Economics, Faculty of Finance and Accounting

Classification
Management
Estimation: General
Model Construction and Estimation
Information and Market Efficiency; Event Studies; Insider Trading
International Financial Markets
Subject
Aggregation
Central Europe
Stability
Stock markets
Structural break analysis

Event
Geistige Schöpfung
(who)
Princ, Michael
Event
Veröffentlichung
(who)
University of Economics, Faculty of Finance and Accounting
(where)
Prague
(when)
2016

DOI
doi:10.18267/j.efaj.167
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Princ, Michael
  • University of Economics, Faculty of Finance and Accounting

Time of origin

  • 2016

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