Understanding the source of multifractality in financial markets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F12%3A10120273" target="_blank" >RIV/00216208:11230/12:10120273 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/12:00377094
Result on the web
<a href="http://dx.doi.org/10.1016/j.physa.2012.03.037" target="_blank" >http://dx.doi.org/10.1016/j.physa.2012.03.037</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2012.03.037" target="_blank" >10.1016/j.physa.2012.03.037</a>
Alternative languages
Result language
angličtina
Original language name
Understanding the source of multifractality in financial markets
Original language description
In this paper, we use the generalized Hurst exponent approach to study the multi-scaling behavior of different financial time series. We show that this approach is robust and powerful in detecting different types of multi-scaling. We observe a puzzling phenomenon where an apparent increase in multifractality is measured in time series generated from shuffled returns, where all time-correlations are destroyed, while the return distributions are conserved. This effect is robust and it is reproduced in several real financial data including stock market indices, exchange rates and interest rates. In order to understand the origin of this effect we investigate different simulated time series by means of the Markov switching multifractal model, autoregressive fractionally integrated moving average processes with stable innovations, fractional Brownian motion and Levy flights. Overall we conclude that the multifractality observed in financial time series is mainly a consequence of the charact
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA402%2F09%2F0965" target="_blank" >GA402/09/0965: New Approaches to Monitoring and Forecasting Financial Markets</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physica A: Statistical Mechanics and its Applications
ISSN
0378-4371
e-ISSN
—
Volume of the periodical
391
Issue of the periodical within the volume
17
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
18
Pages from-to
4234-4251
UT code for WoS article
000305302600005
EID of the result in the Scopus database
—