EconPapers    
Economics at your fingertips  
 

Simplified calculations of time correlation functions in non-stationary complex financial systems

Jiu Zhang, Li-Fu Jin, Bo Zheng, Yan Li and Xiong-Fei Jiang

Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C

Abstract: For complex dynamic systems in non-stationary states, we develop a useful method to simplify the calculation of time correlations. The method is particularly applied to the financial dynamic systems, with focus on how the past fluctuation drives the future motion of the dynamic variables. The results are important both theoretically and practically. Further, we demonstrate how to construct an investment strategy based on the time correlations.

Keywords: Complex dynamic systems; Non-stationary states; Time correlations (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121008736
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008736

DOI: 10.1016/j.physa.2021.126615

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008736