Fractional Calculus and Models in Finance and Economics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 935

Special Issue Editors


E-Mail Website
Guest Editor
Department of MEMOTEF, Sapienza University of Rome, 00161 Rome, Italy
Interests: mathematical finance; multifractional processes; self-similar processes; long-run memory models
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
MEMOTEF, Sapienza University of Rome, Rome, Italy
Interests: markets; statistical distributions; time series analysis; financial markets; finance; empirical finance; volatility modeling; financial modelling; computational finance

Special Issue Information

Dear Colleagues,

Since its initial interest, dating back to the celebrated contributions of mathematicians such as Cauchy, Leibniz, Liouville, and many others, fractional calculus has emerged as a powerful tool in various scientific disciplines. After centuries of relative obscurity, it finally gained substantial attention in the latter half of the 20th century. Today, demonstrating the great versatility of fractional models, it has become a cornerstone in fields ranging from physics to data analysis, from engineering to economics and finance. One of the peculiarities of fractional calculus resides in its ability to model behaviors with long-range dependencies, memory effects, and non-local interactions, which are often prevalent in real-world systems. Unlike classical models that assume instantaneous reactions, fractional calculus-based models allow for the incorporation of past information over an extended period, enabling a more accurate representation of the complex dynamics where the memory of past events or behaviors can significantly influence future outcomes. The inclusion of fractional derivatives in stochastic models, such as the fractional Brownian motion, provides a more realistic representation of irregularities and self-similarity observed in various natural and social phenomena. This has implications not only in physics and engineering but also in understanding the inherent uncertainties and fluctuations in financial markets. As a further generalization, multifractional processes, which involve a combination of different fractional orders, have proven particularly useful in capturing more complex scaling behaviors in various signals, opening avenues for enhanced signal processing techniques.

This Special Issue of Mathematics aims to encourage researchers to submit high-quality papers delving into innovative applications of fractional calculus and related models for a deeper comprehension and prediction of economic and financial phenomena. Topics of interest include fractional and multifractional models, fractional stochastic volatility, scaling and self-similarity, and long memory.

Prof. Dr. Sergio Bianchi
Dr. Massimiliano Frezza
Guest Editors

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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.

Keywords

  • fractional calculus
  • fractional differential equations
  • fractional and multifractional stochastic processes
  • long memory
  • scaling
  • self-similarity
  • non-integer order dynamics
  • memory effects
  • non-local interactions
  • time-varying regularity
  • stochastic volatility
  • anomalous diffusion
  • power-law behavior
  • complex systems modeling
  • applications in finance and economics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

24 pages, 385 KiB  
Article
General Fractional Economic Dynamics with Memory
by Vasily E. Tarasov
Mathematics 2024, 12(15), 2411; https://doi.org/10.3390/math12152411 - 2 Aug 2024
Cited by 1 | Viewed by 574
Abstract
For the first time, a self-consistent mathematical approach to describe economic processes with a general form of a memory function is proposed. In this approach, power-type memory is a special case of such general memory. The memory is described by pairs of memory [...] Read more.
For the first time, a self-consistent mathematical approach to describe economic processes with a general form of a memory function is proposed. In this approach, power-type memory is a special case of such general memory. The memory is described by pairs of memory functions that satisfy the Sonin and Luchko conditions. We propose using general fractional calculus (GFC) as a mathematical language that allows us to describe a general form of memory in economic processes. The existence of memory (non-locality in time) means that the process depends on the history of changes to this process in the past. Using GFC, exactly solvable economic models of natural growth with a general form of memory are proposed. Equations of natural growth with general memory are equations with general fractional derivatives and general fractional integrals for which the fundamental theorems of GFC are satisfied. Exact solutions for these equations of models of natural growth with general memory are derived. The properties of dynamic maps with a general form of memory are described in the general form and do not depend on the choice of specific types of memory functions. Examples of these solutions for various types of memory functions are suggested. Full article
(This article belongs to the Special Issue Fractional Calculus and Models in Finance and Economics)
Back to TopTop