EconPapers    
Economics at your fingertips  
 

FINANCIAL VOLATILITY MEASUREMENT USING FRACTAL DIMENSION

Daniela Alexandra Crișan ()
Additional contact information
Daniela Alexandra Crișan: Romanian-American University

Journal of Information Systems & Operations Management, 2015, vol. 9, issue 1, 95-102

Abstract: Financial volatility measures the variation of the price of a financial instrument over time. It is a very important instrument for both financial analysts and investors, as it is a measure of assets (un)stability. There have been previous attempts of using fractal analysis in estimating the financial volatility. In this paper, the author will experiment the use of an image processing technique, computing the fractal "box-counting" dimension of the time series corresponding to an asset price. The fractal dimensions of 20 pairs of assets will be compared in order to describe their volatility. An original software application developed by the author for fractal processing purposes was used.

Date: 2015
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/SU15/JISOM-SU15-A9.pdf (application/pdf)

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:rau:jisomg:v:9:y:2015:i:1:p:95-102

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().

 
Page updated 2025-11-29
Handle: RePEc:rau:jisomg:v:9:y:2015:i:1:p:95-102