Publication detail

Kristoufek, L: Power-law cross-correlations: Issues, solutions and future challenges

Author(s): prof. PhDr. Ladislav Krištoufek Ph.D.,
Type: Chapter in book
Year: 2021
Number: 0
ISSN / ISBN:
Published in: Simplicity of Complexity in Economic and Social Systems, pp. 43-54 arXiv PDF
Publishing place: Springer International Publishing
Keywords: long-range dependence, power-law cross-correlations, correlations, regression, power-law coherency, econophysics
JEL codes:
Suggested Citation:
Abstract: Analysis of long-range dependence in financial time series was one of the initial steps of econophysics into the domain of mainstream finance and financial economics in the 1990s. Since then, many different financial series have been analyzed using the methods standardly used outside of finance to deliver some important stylized facts of the financial markets. In the late 2000s, these methods have started being generalized to bivariate settings so that the relationship between two series could be examined in more detail. It was then only a single step from bivariate long-range dependence towards scale-specific correlations and regressions as well as power-law coherency as a unique relationship between power-law correlated series. Such rapid development in the field has brought some issues and challenges that need further discussion and attention. We shortly review the development and historical steps from long-range dependence to bivariate generalizations and connected methods, focus on its technical aspects and discuss problematic parts and challenges for future directions in this specific subfield of econophysics.
August 2022
MonTueWedThuFriSatSun
1234567
891011121314
15161718192021
22232425262728
293031    

Partners

Deloitte

Sponsors

CRIF
McKinsey
Patria Finance
Česká Spořitelna
EY