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2. Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction. (2022). Alves, P. R. L., .
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   RePEc:eee:matcom:v:202:y:2022:i:c:p:480-499.

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3. Understanding the nature of the long-range memory phenomenon in socioeconomic systems. (2021). Gontis, Vygintas ; Kazakevicius, Rytis ; Kaulakys, Bronislovas ; Kononovicius, Aleksejus.
   In: Papers.
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4. From Big Data to Econophysics and Its Use to Explain Complex Phenomena. (2020). PEREIRA, EDER JOHNSON DE AREA ; Ferreira, Paulo.
   In: JRFM.
   RePEc:gam:jjrfmx:v:13:y:2020:i:7:p:153-:d:383955.

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5. The hierarchical structure of stock market in times of global financial crisis. (2020). Gao, Ya-Chun ; Cai, Shi-Min ; Zhang, Jia-Bing.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:542:y:2020:i:c:s0378437119319260.

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6. Finance from the viewpoint of physics. (2020). Jakovac, A.
   In: Papers.
   RePEc:arx:papers:2001.09446.

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7. Statistical properties of volume and calendar effects in prediction markets. (2019). Restocchi, Valerio ; McGroarty, Frank ; Gerding, Enrico.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:523:y:2019:i:c:p:1150-1160.

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8. The stylized facts of prediction markets: Analysis of price changes. (2019). Restocchi, Valerio ; McGroarty, Frank ; Gerding, Enrico.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:515:y:2019:i:c:p:159-170.

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9. When financial economics influences physics: The role of Econophysics. (2019). Mantegna, Rosario ; Jovanovic, Franck ; Schinckus, Christophe.
   In: International Review of Financial Analysis.
   RePEc:eee:finana:v:65:y:2019:i:c:s1057521918304162.

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10. Fundamental Analysis in China: An Empirical Study of the Relationship between Financial Ratios and Stock Prices. (2019). ausloos, marcel ; Ma, Lijuan ; Felicia, H L ; Schinckus, Christophe.
    In: Papers.
    RePEc:arx:papers:1910.06746.

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11. Econophysics: Still fringe after 30 years?. (2019). Bouchaud, Jean-Philippe.
    In: Papers.
    RePEc:arx:papers:1901.03691.

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12. Ising model, econophysics and analogies. (2018). Schinckus, Christophe.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:508:y:2018:i:c:p:95-103.

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13. The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists. (2018). Poitras, Geoffrey.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:507:y:2018:i:c:p:89-98.

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14. On the applicability of the Lead/Lag Ratio in causality assessment. (2018). Belkoura, Seddik ; Zanin, Massimiliano.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:506:y:2018:i:c:p:186-196.

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15. Detecting chaos and predicting in Dow Jones Index. (2018). Duarte, L. G. S., ; da Mota, L. A. C. P., ; Alves, P. R. L., .
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:110:y:2018:i:c:p:232-238.

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16. Econophysics: Past and present. (2017). PEREIRA, EDER JOHNSON DE AREA ; da Silva, Marcus Fernandes ; de Area, Eder Johnson.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:473:y:2017:i:c:p:251-261.

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17. Decomposition of the Inequality of Income Distribution by Income Types - Application for Romania. (2017). Oancea, Bogdan ; Andrei, Tudorel ; Richmond, Peter ; Dhesi, Gurjeet ; Herteliu, Claudiu.
    In: Papers.
    RePEc:arx:papers:1709.07960.

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18. Towards a New Way of Teaching Statistics in Economics: The Case for Econophysics. (2015). Akdere, Inla ; Schinckus, Christophe.
    In: Ekonomi-tek - International Economics Journal.
    RePEc:tek:journl:v:4:y:2015:i:3:p:89-108.

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