Can we Improve Understanding of the Financial Market Dependencies in the Crisis by their Decomposition?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00396003" target="_blank" >RIV/67985556:_____/13:00396003 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Can we Improve Understanding of the Financial Market Dependencies in the Crisis by their Decomposition?
Original language description
Study of the financial market dependencies have become one of the most active and successful areas of research in the time series econometrics and economic forecasting during the recent decades. Current financial crisis have shown that understanding of the dependencies in the markets is crucial and it has even boosted the interest of researchers. this work brings new theoretical framework for the realized covariation estimation gener- alizing the current knowledge and bringing the estimation to the time-frequency domain for the first time. Usage of wavelets allows us to decompose the correlation measures into several investment horizons. our estimator is moreover able to separate individual jumps, co-jumps and true covariation from the high frequency data, thus brings better understanding of the dependence. the results have crucial impact on the portfolio diver- sification especially in the crisis years as they point to the strong dynamic relationships at various investment horizons.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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