Fractal and Multifractal Analyses in Financial Markets and Economics, 2nd Edition

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 1161

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Guest Editor
Department of Industrial Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: business analytics; econophysics; financial engineering; portfolio management; time series
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In 1963, Mandelbrot and Fama proposed that the return of financial assets is subject to a fractal process supported by the Pareto–Lévy distribution, which challenges the conventional belief of Gaussian distribution. Since then, various studies have identified the ubiquitous properties of the fractal perspective, such as fat tails, volatility clustering, and multi-scaling. Such properties indicate a non-linear stochastic process, suggesting long-term memory in economic and financial time series. Multifractal analysis is an effective instrument that can be used to explore the complex non-linear nature of various economic and financial markets.

The distributional characteristics of market fluctuations are critical to asset pricing and risk management, since large fluctuations usually cause astounding issues in economic and financial practices. Multifractal analysis has contributed greatly to the analysis of market risk. In this context, we would like to invite the submission of original research and review articles exploring topics including (but not limited to):

  • Fractional Brownian motion;
  • Fractal dimension of financial networks;
  • Multifractal detrended fluctuation analysis/moving average;
  • Multifractal (partial) cross-correlation;
  • Multifractal volatility;
  • Market efficiency;
  • Machine/Deep learning approaches using multifractal features;
  • Applications of multifractal processes in various economy and financial markets.

Dr. Jae Wook Song
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Research

32 pages, 1436 KiB  
Article
The Impact of Turkish Economic News on the Fractality of Borsa Istanbul: A Multidisciplinary Approach
by Mehmet Ali Balcı, Ömer Akgüller, Larissa M. Batrancea and Anca Nichita
Fractal Fract. 2024, 8(1), 32; https://doi.org/10.3390/fractalfract8010032 - 30 Dec 2023
Viewed by 954
Abstract
This study explores the connection between the fractal dimensions of time series representing sentiments regarding economic news and the fractal dimensions of correlation networks among companies listed in the Borsa Istanbul star section. While there have been many studies on the correlation between [...] Read more.
This study explores the connection between the fractal dimensions of time series representing sentiments regarding economic news and the fractal dimensions of correlation networks among companies listed in the Borsa Istanbul star section. While there have been many studies on the correlation between different time series, the investigation into the impact of fractal dimensions on correlation networks’ dynamics has been somewhat restricted. This study investigates the correlation networks among companies listed in the Borsa Istanbul Stars segment, employing distance and topological filters. The network fractional dimensions are evaluated using the box counting and information dimension techniques. A convolutional neural network is employed to perform analysis of sentiments regarding on 2020 Turkish economic news. The network is trained on user comments and specifically built to identify fluctuations in news editorials. The Zemberek natural language processing framework is beneficial for data preprocessing. Identical analytical methods are employed to quantify the fractal dimensions of each sentiment time series. Experiments are performed on these measurements using various sliding window widths to ascertain both independence and causality. The findings indicate a substantial correlation between market behavior and the feelings expressed in economic news. Full article
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