Document Type
Article
Source of Publication
AppliedMath
Publication Date
6-29-2023
Abstract
Time series of financial data are both frequent and important in everyday practice. Numerous applications are based, for example, on time series of asset prices or market indices. In this article, the application of fractal interpolation functions in modelling financial time series is examined. Our motivation stems from the fact that financial time series often present fluctuations or abrupt changes which the fractal interpolants can inherently model. The results indicate that the use of fractal interpolation in financial applications is promising.
DOI Link
ISSN
Publisher
MDPI AG
Volume
3
Issue
3
First Page
510
Last Page
524
Disciplines
Business
Keywords
Fractal interpolation, Financial time series, Iterated function systems, Self-affine fractal interpolation functions, Data modeling
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Manousopoulos, Polychronis; Drakopoulos, Vasileios; and Polyzos, Efstathios, "Financial Time Series Modelling Using Fractal Interpolation Functions" (2023). All Works. 6009.
https://zuscholars.zu.ac.ae/works/6009
Indexed in Scopus
no
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series