PL EN


2011 | 7 | 2 | 1-16
Article title

MODELING STNOCK MARKET INDEXES WITH COPULA FUNCTIONS (Zastosowanie funkcji kopuli w modelowaniu indeksów gieldowych)

Title variants
Languages of publication
EN
Abstracts
EN
Contemporary financial risk management is significantly based on the analysis of time series of returns. One of the most significant errors frequently committed by analysts is the predominant use of normal distributions when it is clear that the returns are not normal. Copula models and models for non-normal multivariate distributions provide new tools to solve the problem because the obtained results are immediately applicable in portfolio management, option pricing and measuring risk without assuming normality. Therefore, both a theoretician and a practitioner are interested in multivariate models for returns and copula functions. The copula function models provide an effective and interesting technique of constructing multivariate distribution starting from marginal ones. Due to Sklar's result established in 1959, we can present any multivariate distribution with a help of corresponding marginal distributions and a selected copula function. In this work we present an application of copula function to construct multivariate conditional distributions of times series. In the last part of this paper dynamic models such as DCC-MVGARCH and conditional copula are analyzed. Moreover, we also present an application of bootstrap in the context of copula function. This work is appended by examples showing practical application of our work.
Keywords
Year
Volume
7
Issue
2
Pages
1-16
Physical description
Document type
ARTICLE
Contributors
author
  • Dr hab. Jacek Leskow, Wyzsza Szkola Biznesu National-Louis University in Nowy Sacz, ul. Zielona 27, 33-300 Nowy Sacz, Poland
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
11PLAAAA09664
YADDA identifier
bwmeta1.element.161b7d54-7904-3372-9396-32a2256b9461
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