IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v10y2023i2p117.html
   My bibliography  Save this article

A Worldwide Assessment of Quantitative Finance Research through Bibliometric Analysis

Author

Listed:
  • Feng Yu
  • Lianqian Yin
  • Guizhou Wang

Abstract

The field of quantitative finance has been rapidly growing in both academics and practice. This article applies bibliometric analysis to investigate the current state of quantitative finance research. A comprehensive dataset of 2,723 publications from the Web of Science Core Collection database, between 1992 to 2022, is collected and analyzed. CiteSpace and VOSViewer are adopted to visualize the bibliometric analysis. The article identifies the most relevant research in quantitative finance according to journals, articles, research areas, authors, institutions, and countries. The study further identifies emerging research topics in quantitative finance, e.g. deep learning, neural networks, quantitative trading, and reinforcement learning. This article contributes to the literature by providing a systematic overview of the developments, trajectories, objectives, and potential future research topics in the field of quantitative finance.

Suggested Citation

  • Feng Yu & Lianqian Yin & Guizhou Wang, 2023. "A Worldwide Assessment of Quantitative Finance Research through Bibliometric Analysis," Applied Economics and Finance, Redfame publishing, vol. 10(2), pages 1-17, May.
    • Handle: RePEc:rfa:aefjnl:v:10:y:2023:i:2:p:117
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/aef/article/download/5949/6194
    Download Restriction: no
    File URL: https://redfame.com/journal/index.php/aef/article/view/5949
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    4. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    5. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    6. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    7. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    8. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    2. Gabriel Frahm, 2016. "Pricing And Valuation Under The Real-World Measure," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-39, February.
    3. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    4. Ladislav Kristoufek & Paulo Ferreira, 2018. "Capital asset pricing model in Portugal: Evidence from fractal regressions," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(3), pages 173-183, November.
    5. Fernando Rubio, 2005. "Estrategias Cuantitativas De Valor Y Retornos Por Accion De Largo," Finance 0503029, University Library of Munich, Germany.
    6. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    7. Makushkin, Mikhail & Lapshin, Victor, 2023. "Dynamic Nelson–Siegel model for market risk estimation of bonds: Practical implementation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 5-27.
    8. repec:wyi:journl:002108 is not listed on IDEAS
    9. Qianwei Ying & Tahir Yousaf & Qurat ul Ain & Yasmeen Akhtar & Muhammad Shahid Rasheed, 2019. "Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis," JRFM, MDPI, vol. 12(2), pages 1-22, June.
    10. Qian, Meifen & Sun, Ping-Wen & Yu, Bin, 2017. "High turnover with high price delay? Dissecting the puzzling phenomenon for China's A-shares," Finance Research Letters, Elsevier, vol. 22(C), pages 105-113.
    11. Alwathainani, Abdulaziz M., 2009. "Consistency of firms' past financial performance measures and future returns," The British Accounting Review, Elsevier, vol. 41(3), pages 184-196.
    12. Schmidhammer, Christoph & Hille, Vanessa & Wiedemann, Arnd, 2020. "Performance of maturity transformation strategies," Discussion Papers 58/2020, Deutsche Bundesbank.
    13. Yan Yan & Zhewen Liao & Xiaosong Chen, 2018. "Fixed-income securities: bibliometric review with network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1615-1640, September.
    14. Kung, James J. & Wu, E-Ching, 2013. "An evaluation of some popular investment strategies under stochastic interest rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 96-108.
    15. Giulio Tarditi, 2011. "Affine Term Structure Constraints on Euribor data," Department of Economics University of Siena 613, Department of Economics, University of Siena.
    16. Gatzert, Nadine & Martin, Michael, 2012. "Quantifying credit and market risk under Solvency II: Standard approach versus internal model," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 649-666.
    17. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    18. Wilson, Christine A. & Featherstone, Allen M. & Kastens, Terry L., 2001. "Threshold Effects In Food And Agribusiness Stock Price Markets," 2001 Annual meeting, August 5-8, Chicago, IL 20591, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    20. Sergio Ortobelli & Sebastiano Vitali & Marco Cassader & Tomáš Tichý, 2018. "Portfolio selection strategy for fixed income markets with immunization on average," Annals of Operations Research, Springer, vol. 260(1), pages 395-415, January.
    21. Dorofeev Evgeny, 2001. "Economic Factors Influence on the Russian Capital Market Behavior," EERC Working Paper Series 2k/03e, EERC Research Network, Russia and CIS.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rfa:aefjnl:v:10:y:2023:i:2:p:117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.