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Journal articles on the topic 'Econophysics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

GINGRAS, Y., and C. SCHINCKUS. "THE INSTITUTIONALIZATION OF ECONOPHYSICS IN THE SHADOW OF PHYSICS." Journal of the History of Economic Thought 34, no. 1 (2012): 109–30. http://dx.doi.org/10.1017/s1053837212000041.

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Econophysics presents itself as a new paradigm and a new specialty (or even a discipline) using various models and concepts imported from condensed matter and statistical physics to analyze economic and financial phenomena. Given that econophysics is based on different fundamental assumptions from those of mainstream economics, the disciplinary position of econophysics is not so clear. In this perspective, this paper will analyze the progressive institutionalization of econophysics using bibliometric methods to identify core authors as well as the structure of the disciplines with which econop

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2

Schinckus, C. "Methodological comment on Econophysics review I and II: statistical econophysics and agent-based econophysics." Quantitative Finance 12, no. 8 (2012): 1189–92. http://dx.doi.org/10.1080/14697688.2012.704692.

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3

Widastra Hidajatullah, Maksoed. "Techno-econophysics’ Fractal Involving of Exergy Remarks." Annals of Advances in Chemistry 8, no. 1 (2024): 017–20. http://dx.doi.org/10.29328/journal.aac.1001051.

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Inclusively new to econophysics studies, herewith proposed technoeconophysics as part of techno-economy, econophysics & sociophysics to interpret the description between probability and hypothesis found between fractal realms and econophysics of markets, physics markets, or stock markets any chaotic evidence [exergy destructive] could present if effective & efficient criterion doesn’t comply. A more precise iterative study ought to be held to configure how fractal dimension is involved in the techno-econophysics study of the Helium Nat Gas Project which is not integer, but also proofed

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4

Ghosh, Bikramaditya, and M. C. Krishna. "Power law in tails of bourse volatility – evidence from India." Investment Management and Financial Innovations 16, no. 1 (2019): 291–98. http://dx.doi.org/10.21511/imfi.16(1).2019.23.

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Inverse cubic law has been an established Econophysics law. However, it has been only carried out on the distribution tails of the log returns of different asset classes (stocks, commodities, etc.). Financial Reynolds number, an Econophysics proxy for bourse volatility has been tested here with Hill estimator to find similar outcome. The Tail exponent or α ≈ 3, is found to be well outside the Levy regime (0 &amp;lt; α &amp;lt; 2). This confirms that asymptotic decay pattern for the cumulative distribution in fat tails following inverse cubic law. Hence, volatility like stock returns al

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5

Kutner, Ryszard. "Kamienie milowe & wyzwania ekonofizyki a także socjofizyki cz. 1." Postępy Fizyki 73, no. 1 (2022): 11–20. http://dx.doi.org/10.61947/uw.pf.2022.73.1.11-20.

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We discuss the milestones of econophysics and sociophysics.We chose them in the context of the challenges posed by contemporary socio-economic reality. We indicate their role in building research areas in econophysics and sociophysics [1,2,3,].

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6

Argyrakis, P. "What is EconoPhysics?" Journal of Engineering Science and Technology Review 4, no. 3 (2011): 207–8. http://dx.doi.org/10.25103/jestr.043.01.

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7

JUNG, Woo-Sung, and Seunghwan KIM. "Introduction to Econophysics." Physics and High Technology 31, no. 7/8 (2022): 3–5. http://dx.doi.org/10.3938/phit.31.022.

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8

Mimkes, Juergen. "Introduction to Econophysics." International Journal of Productivity Management and Assessment Technologies 7, no. 1 (2019): 1–27. http://dx.doi.org/10.4018/ijpmat.2019010101.

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The future contains terms (V) that are valid at all times, and terms (U) that are presently unknown. In economics, (V) and (U) correspond to ex ante and ex post, in physics to conservative and not conservative, in calculus, to exact and not exact differential forms or to Riemann and Stokes integrals, and to linear or non-linear equations, in statistics to real and probable terms. Apparently, the authors may represent the (V) and (U) structure in economics and physics by calculus, probability theory, by non-linearity, and chaos theory. The present paper applies Stokes integrals to double entry

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9

Rosser, J. Barkley. "Entropy and econophysics." European Physical Journal Special Topics 225, no. 17-18 (2016): 3091–104. http://dx.doi.org/10.1140/epjst/e2016-60166-y.

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10

Rickles, Dean. "Econophysics for philosophers." Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 38, no. 4 (2007): 948–78. http://dx.doi.org/10.1016/j.shpsb.2007.01.003.

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11

Hategan, Sergiu Mihai. "A MAPPING OF THE LITERATURE ON ECONOPHYSICS." Annals of the University of Oradea. Economic Sciences 30, no. 30 (1) (2021): 92–100. http://dx.doi.org/10.47535/1991auoes30(1)008.

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Econophysics is a relatively young discipline, being an interdisciplinary approach that applies methods and tools from physics in the economics, for studying the financial markets, or other economical phenomena. The objective is to create a mapping of the most used keywords in this topic, as well as the connections between countries and authors, based on citations. This article studies the literature on the topic of econophysics, using the Web of Science database. Bibliometric analysis was made with the free software VOSviewer, after extracting the data from 1364 articles, since the conception

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12

Rodrigues, Rui Manuel dos Santos Vigário, Thiago Pires Santana, Rui Manuel Teixeira Santos Dias, et al. "Econophysics, State of the Science and Bibliographic Production: a Bibliometric Analysis." Revista de Gestão Social e Ambiental 18, no. 11 (2024): e010035. http://dx.doi.org/10.24857/rgsa.v18n11-234.

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Objective: This article aims to investigate the state of the art regarding the scientific production of Econophysics as a field of study. The aim is to map the annual production of articles, types of documents, most relevant authors, most productive countries, institutions, journals, scientific collaboration networks, and associated themes and trends. Theoretical Framework: Econophysics applies physics procedures to analyze financial markets and solve economic problems, using tools such as fractal theory and Brownian motion. The term Econophysics was created by H. Eugene Stanley in 1995. Bibli

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13

Stavrinides, Stavros, Michael Hanias, Boryana Bogdanova, and Lykourgos Magafas. "Special Issue on Econophysics." Journal of Engineering Science and Technology Review 8, no. 1 (2015): i—j. http://dx.doi.org/10.25103/jestr.081.00.

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14

SINGH, RAJINDER. "THE STORY OF ECONOPHYSICS." Science and Culture 86, no. 5-6 (2020): 188. http://dx.doi.org/10.36094/sc.v86.2020.the_story_of_econophysics.singh.188.

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15

Hanias, M. P., L. Magafas, and S. G. Stavrinides. "“Reverse Engineering” in Econophysics." International Journal of Productivity Management and Assessment Technologies 7, no. 1 (2019): 36–49. http://dx.doi.org/10.4018/ijpmat.2019010103.

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The work presented here is a paradigm of EconoPhysics, i.e. of research in the area of finance and economics by applying physical models, in this case chaos theory. A specific analysis of a macroeconomic model proposed by Vosvrda is presented. The Vosvrda model is an idealized macroeconomic model, combining the savings of households, Gross Domestic Product and the foreign capital inflow. It is simulated by three autonomous differential equations. According to this model, there are six parameters, having their values regulating the system behavior (parameters of Vosvdra). Using artificial noisy

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16

Pueyo, Salvador. "Ecological Econophysics for Degrowth." Sustainability 6, no. 6 (2014): 3431–83. http://dx.doi.org/10.3390/su6063431.

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17

Johnson, Simon. "The trouble with econophysics." Physics World 25, no. 01 (2012): 17. http://dx.doi.org/10.1088/2058-7058/25/01/25.

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18

ROSSER, J. BARKLEY. "ECONOPHYSICS AND ECONOMIC COMPLEXITY." Advances in Complex Systems 11, no. 05 (2008): 745–60. http://dx.doi.org/10.1142/s0219525908001957.

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This paper discusses the debate between those advocating a computational and those advocating a dynamic definition of complexity, and how this relates to issues in econophysics. It then reviews the criticisms that have been raised about ways in which econophysics has been done, noting that many of these are now being dealt with. Finally, it argues that while an obvious way to resolve many of these matters is to have economists and physicists work together, the physicists should be sure to work with economists who understand the complexity critique of conventional economic theory and are thus n

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19

Hunter, Chris. "Econophysics and Physical Economics." Quantitative Finance 16, no. 4 (2016): 513–15. http://dx.doi.org/10.1080/14697688.2015.1112970.

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20

de Area Leão Pereira, Eder Johnson, Marcus Fernandes da Silva, and H. B. B. Pereira. "Econophysics: Past and present." Physica A: Statistical Mechanics and its Applications 473 (May 2017): 251–61. http://dx.doi.org/10.1016/j.physa.2017.01.007.

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21

Bordley, Robert F. "Econophysics and individual choice." Physica A: Statistical Mechanics and its Applications 354 (August 2005): 479–95. http://dx.doi.org/10.1016/j.physa.2005.03.016.

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22

Gallegati, Mauro, Steve Keen, Thomas Lux, and Paul Ormerod. "Worrying trends in econophysics." Physica A: Statistical Mechanics and its Applications 370, no. 1 (2006): 1–6. http://dx.doi.org/10.1016/j.physa.2006.04.029.

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23

Schinckus, Christophe. "Economic uncertainty and econophysics." Physica A: Statistical Mechanics and its Applications 388, no. 20 (2009): 4415–23. http://dx.doi.org/10.1016/j.physa.2009.07.008.

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24

Ausloos, M. "Special issue on Econophysics." European Physical Journal B 20, no. 4 (2001): 471. http://dx.doi.org/10.1007/s100510170225.

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25

BALI, Selçuk. "Econophysics, Thermoeconomics and Phynance." Journal of International Social Research 4, no. 18 (2011): 379. http://dx.doi.org/10.17719/jisr.20111811038.

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26

Schinckus, Christophe, and Franck Jovanovic. "Towards a transdisciplinary econophysics." Journal of Economic Methodology 20, no. 2 (2013): 164–83. http://dx.doi.org/10.1080/1350178x.2013.801561.

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27

Shaikh, Anwar. "The econ in econophysics." European Physical Journal Special Topics 229, no. 9 (2020): 1675–84. http://dx.doi.org/10.1140/epjst/e2020-900204-5.

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28

KAUFMAN, MIRON. "On an Econophysics Model." Turkish Journal of Physics 46, no. 6 (2022): 188–93. http://dx.doi.org/10.55730/1300-0101.2725.

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29

Shubik, Martin, and Eric Smith. "Econophysics: Present and future." Complexity 14, no. 3 (2009): 9–10. http://dx.doi.org/10.1002/cplx.20260.

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30

Schinckus, Christophe, and Cinla Akdere. "Duality of knowledge, singularity of method." Journal of Asian Business and Economic Studies 25, no. 1 (2018): 163–84. http://dx.doi.org/10.1108/jabes-05-2018-0010.

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Purpose How a micro-founded discipline such as economics could deal with the increasing global economic reality? This question has been asked frequently since the last economic crisis that appeared in 2008. In this challenging context, some commentators have turned their attention to a new area of knowledge coming from physics: econophysics which mainly focuses on a macro-analysis of economic systems. By showing that concepts used by econophysicists are consistent with an existing economic knowledge (developed by J.S. Mill), the purpose of this paper is to claim that an interdisciplinary persp

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31

Ferreira, Paulo, Éder J. A. L. Pereira, and Hernane B. B. Pereira. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena." Journal of Risk and Financial Management 13, no. 7 (2020): 153. http://dx.doi.org/10.3390/jrfm13070153.

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Big data has become a very frequent research topic, due to the increase in data availability. In this introductory paper, we make the linkage between the use of big data and Econophysics, a research field which uses a large amount of data and deals with complex systems. Different approaches such as power laws and complex networks are discussed, as possible frameworks to analyze complex phenomena that could be studied using Econophysics and resorting to big data.

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32

Rosser-Jr., J. B. "The Nature and Future of Econophysics." Voprosy Ekonomiki, no. 11 (November 20, 2009): 76–81. http://dx.doi.org/10.32609/0042-8736-2009-11-76-81.

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The article presents an overview of econophysics, its main issues, history and possible paths of future development. Descriptions of the subject, problems and methodology are provided. The questions are raised such as what the contribution of the new discipline to the core issues in economics is and whether the new methods and approaches could be applied in physics. The role of the interdisciplinary research which tends to become the main engine of development in econophysics is discussed in detail.

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33

Kutner, Ryszard, Christophe Schinckus, and Harry Eugene Stanley. "Three Risky Decades: A Time for Econophysics?" Entropy 24, no. 5 (2022): 627. http://dx.doi.org/10.3390/e24050627.

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34

FAN, YING, MENGHUI LI, JIAWEI CHEN, LIANG GAO, ZENGRU DI, and JINSHAN WU. "NETWORK OF ECONOPHYSICISTS: A WEIGHTED NETWORK TO INVESTIGATE THE DEVELOPMENT OF ECONOPHYSICS." International Journal of Modern Physics B 18, no. 17n19 (2004): 2505–11. http://dx.doi.org/10.1142/s0217979204025579.

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The development of Econophysics is studied from the perspective of scientific communication networks. Papers in Econophysics published from 1992 to 2003 are collected. Then a weighted and directed network of scientific communication, including collaboration, citation and personal discussion, is constructed. Its static geometrical properties, including degree distribution, weight distribution, weight per degree, and betweenness centrality, give a nice overall description of the research works. The way we introduced here to measure the weight of connections can be used as a general one to constr

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35

Tusset, Gianfranco. "Plotting the Words of Econophysics." Entropy 23, no. 8 (2021): 944. http://dx.doi.org/10.3390/e23080944.

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Text mining is applied to 510 articles on econophysics to reconstruct the lexical evolution of the discipline from 1999 to 2020. The analysis of the relative frequency of the words used in the articles and their “visualization” allow us to draw some conclusions about the evolution of the discipline. The traditional areas of research, financial markets and distribution of wealth, remain central, but they are flanked by other strands of research—production, currencies, networks—which broaden the discipline by pushing towards a dialectical application of traditional concepts and tools drawn from

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36

Di Matteo, Tiziana, and Tomaso Aste. "“No Worries": Trends in Econophysics." European Physical Journal B 55, no. 2 (2007): 121–22. http://dx.doi.org/10.1140/epjb/e2007-00047-1.

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37

Yakovenko, Victor M. "Monetary economics from econophysics perspective." European Physical Journal Special Topics 225, no. 17-18 (2016): 3313–35. http://dx.doi.org/10.1140/epjst/e2016-60213-3.

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38

Shaikh, Anwar. "Income Distribution, Econophysics and Piketty." Review of Political Economy 29, no. 1 (2016): 18–29. http://dx.doi.org/10.1080/09538259.2016.1205295.

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39

Chakraborti, Anirban, Ioane Muni Toke, Marco Patriarca, and Frédéric Abergel. "Econophysics review: I. Empirical facts." Quantitative Finance 11, no. 7 (2011): 991–1012. http://dx.doi.org/10.1080/14697688.2010.539248.

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40

Ray, Russ. "Econophysics: finance, economics and physics." Applied Economics Letters 18, no. 3 (2011): 273–77. http://dx.doi.org/10.1080/13504851003596020.

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41

Schinckus, Christophe. "Ising model, econophysics and analogies." Physica A: Statistical Mechanics and its Applications 508 (October 2018): 95–103. http://dx.doi.org/10.1016/j.physa.2018.05.063.

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42

Richards, Gordon R. "Reconciling econophysics with macroeconomic theory." Physica A: Statistical Mechanics and its Applications 282, no. 1-2 (2000): 325–35. http://dx.doi.org/10.1016/s0378-4371(00)00112-6.

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43

Zapart, Christopher A. "Econophysics: A challenge to econometricians." Physica A: Statistical Mechanics and its Applications 419 (February 2015): 318–27. http://dx.doi.org/10.1016/j.physa.2014.10.013.

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44

Schinckus, Christophe. "Econophysics and economics: Sister disciplines?" American Journal of Physics 78, no. 4 (2010): 325–27. http://dx.doi.org/10.1119/1.3309424.

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45

Ikeda, Yuichi. "Special feature: Econophysics 2017: synergetic fusion of econophysics and other fields of science— Part I." Evolutionary and Institutional Economics Review 15, no. 2 (2018): 461–63. http://dx.doi.org/10.1007/s40844-018-0118-5.

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46

Ikeda, Yuichi. "Special feature: Econophysics 2017: synergetic fusion of econophysics and other fields of science—Part II." Evolutionary and Institutional Economics Review 16, no. 1 (2019): 181–82. http://dx.doi.org/10.1007/s40844-019-00128-2.

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47

JOVANOVIC, FRANCK, and CHRISTOPHE SCHINCKUS. "ECONOPHYSICS: A NEW CHALLENGE FOR FINANCIAL ECONOMICS?" Journal of the History of Economic Thought 35, no. 3 (2013): 319–52. http://dx.doi.org/10.1017/s1053837213000205.

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Financial economics was born in the 1960s. It took less than two decades for the new discipline’s main theoretical results to become established, creating what is considered to be mainstream financial economics. Less than thirty years later, a new field of research called “econophysics” was created. This field aims to reinvent modern financial theory and, indirectly, financial economics.This article proposes to study, by an historical analysis, to what extent econophysics today could constitute one of the major theoretical challenges to financial economics. It shows how these two fields have h

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48

Bielinskyi, Andrii, Oleksandr Serdyuk, Serhiy Semerikov, and Vladimir Soloviev. "Econophysics of cryptocurrency crashes: an overview." SHS Web of Conferences 107 (2021): 03001. http://dx.doi.org/10.1051/shsconf/202110703001.

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Cryptocurrencies refer to a type of digital asset that uses distributed ledger, or blockchain technology to enable a secure transaction. Like other financial assets, they show signs of complex systems built from a large number of nonlinearly interacting constituents, which exhibits collective behavior and, due to an exchange of energy or information with the environment, can easily modify its internal structure and patterns of activity. We review the econophysics analysis methods and models adopted in or invented for financial time series and their subtle properties, which are applicable to ti

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49

Islas-García, J. D. A., A. R. Villagómez-Manrique, Marcelo Del Castillo-Mussot, and P. G. Soriano-Hernandez. "Brownian motion, diffusion, entropy and econophysics." Revista Mexicana de Física E 65, no. 1 (2019): 1. http://dx.doi.org/10.31349/revmexfise.65.1.

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To model wealth distributions there exist models based on the Boltzmann-Gibbs distribution (BGD), which is obtained by simulating binary economic interactions or exchanges that are similar to particle collisions in physics with conservedenergy (or money in econophysics). Also, BGD can be reproduced by numerical simulations of diffusion for many particles which experience energy fluctuations. This latter case is analogous to non-interacting pollen particles performing Brownian motion. In order to decrease inequality, we also modify the energy-conserved diffusion by taxing the richest agent. In

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50

Herzog, Bodo. "An Econophysics Model of Financial Bubbles." Natural Science 07, no. 01 (2015): 55–63. http://dx.doi.org/10.4236/ns.2015.71006.

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