IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2404.03319.html
   My bibliography  Save this paper

Early warning systems for financial markets of emerging economies

Author

Listed:
  • Artem Kraevskiy
  • Artem Prokhorov
  • Evgeniy Sokolovskiy

Abstract

We develop and apply a new online early warning system (EWS) for what is known in machine learning as concept drift, in economics as a regime shift and in statistics as a change point. The system goes beyond linearity assumed in many conventional methods, and is robust to heavy tails and tail-dependence in the data, making it particularly suitable for emerging markets. The key component is an effective change-point detection mechanism for conditional entropy of the data, rather than for a particular indicator of interest. Combined with recent advances in machine learning methods for high-dimensional random forests, the mechanism is capable of finding significant shifts in information transfer between interdependent time series when traditional methods fail. We explore when this happens using simulations and we provide illustrations by applying the method to Uzbekistan's commodity and equity markets as well as to Russia's equity market in 2021-2023.

Suggested Citation

  • Artem Kraevskiy & Artem Prokhorov & Evgeniy Sokolovskiy, 2024. "Early warning systems for financial markets of emerging economies," Papers 2404.03319, arXiv.org.
    • Handle: RePEc:arx:papers:2404.03319
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2404.03319
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Smimou, K. & Khallouli, W., 2015. "Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?," Emerging Markets Review, Elsevier, vol. 25(C), pages 125-153.
    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. Dosung Kim & Jang-Chul Kim & Qing Su & Sung-Kwan Joo, 2023. "Electricity Blackout and Its Ripple Effects: Examining Liquidity and Information Asymmetry in U.S. Financial Markets," Energies, MDPI, vol. 16(13), pages 1-10, June.
    2. Farooque, Omar Al & Baghdadi, Ghasan & Trinh, Hai Hong & Khandaker, Sarod, 2023. "Stock liquidity during COVID-19 crisis: A cross-country analysis of developed and emerging economies, and economic policy uncertainty," Emerging Markets Review, Elsevier, vol. 55(C).
    3. Kaul, Aditya & Kayacetin, Nuri Volkan, 2017. "Flight-to-quality, economic fundamentals, and stock returns," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 162-175.
    4. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2018. "Foreign equity flows: Boon or bane to the liquidity of Malaysian stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 161-181.
    5. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
    6. Ødegaard, Bernt Arne, 2016. "Bond Liquidity at the Oslo Stock Exchange," UiS Working Papers in Economics and Finance 2016/16, University of Stavanger.
    7. Smimou, K., 2014. "Consumer attitudes, stock market liquidity, and the macro economy: A Canadian perspective," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 186-209.
    8. Mohammadi, H. & Abolhasani, L. & Shahnoushi, N. & Shabanian, F., 2018. "The effects of business cycle indicators on stock market indices of food industry in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277425, International Association of Agricultural Economists.
    9. Chen, Yong & Eaton, Gregory W. & Paye, Bradley S., 2018. "Micro(structure) before macro? The predictive power of aggregate illiquidity for stock returns and economic activity," Journal of Financial Economics, Elsevier, vol. 130(1), pages 48-73.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2404.03319. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.