IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v18y2023i1a4.html
   My bibliography  Save this article

Detección de periodos de crisis del NASDAQ con EEMD -AE

Author

Listed:
  • Gerardo Estrada Sánchez

    (Universidad Nacional Autónoma de México, México)

  • Federico Hernández Álvarez

    (Universidad Nacional Autónoma de México, México)

  • Andrés Giovanni Camacho Ardila

    (Universidad Nacional Autónoma de México, México)

Abstract

Se propone identificar el inicio y terminación de las crisis por SARS-CoV-2 y subprime en el NASDAQ. Se utilizó el EEMD para la descomposición del índice en series consecutivas con el mismo número de componentes y se calcularon sus coeficientes de correlación, también se analizó el espectro de potencia de la serie original. Se identificaron señales de inestabilidad asociadas a cambios tanto en las correlaciones de los componentes como del espectro del NASDAQ. Se recomienda aplicar el procedimiento sobre otras series y otras crisis; asimismo, el método se basa en la detección de discrepancias, lo que implica ser una herramienta de monitoreo, mas no una de pronósticos cuantitativos. La originalidad del trabajo radica en el uso del EEMD modificado para la descomposición de series consecutivas en el mismo número de componentes, y la utilización del coeficiente de correlación entre componentes y el espectro de la serie original como medidas de estabilidad del sistema. El enfoque mostró ser útil para identificar y anticipar grandes cambios en el comportamiento de una serie de tiempo.

Suggested Citation

  • Gerardo Estrada Sánchez & Federico Hernández Álvarez & Andrés Giovanni Camacho Ardila, 2023. "Detección de periodos de crisis del NASDAQ con EEMD -AE," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(1), pages 1-26, Enero - M.
  • Handle: RePEc:imx:journl:v:18:y:2023:i:1:a:4
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/817
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marc Jarsulic, 2010. "Anatomy of a Financial Crisis," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-10618-5, December.
    2. Marc Jarsulic, 2010. "Implications and Solutions," Palgrave Macmillan Books, in: Anatomy of a Financial Crisis, chapter 0, pages 125-156, Palgrave Macmillan.
    3. Jun, Doobae & Ahn, Changmo & Kim, Jinsu & Kim, Gwangil, 2019. "Signal analysis of global financial crises using Fourier series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    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. Gerald Epstein & Robert Pollin, 2011. "Regulating Wall Street: Exploring the Political Economy of the Possible," Working Papers wp256, Political Economy Research Institute, University of Massachusetts at Amherst.
    2. Thomas Palley, 2021. "Financialization revisited: the economics and political economy of the vampire squid economy," Review of Keynesian Economics, Edward Elgar Publishing, vol. 9(4), pages 461–492-4, October.
    3. Russell Kashian & Ronald Tittle & Richard Cummings & Peter Westort, 2018. "Performance and growth among de novo subchapter-s banks," Economics Bulletin, AccessEcon, vol. 38(4), pages 2353-2361.
    4. Luo, Changqing & Liu, Lan & Wang, Da, 2021. "Multiscale financial risk contagion between international stock markets: Evidence from EMD-Copula-CoVaR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    5. Martin H Wolfson, 2012. "Financial crises," Chapters, in: Jan Toporowski & Jo Michell (ed.), Handbook of Critical Issues in Finance, chapter 13, pages i-ii, Edward Elgar Publishing.
    6. Voigtländer, Michael, 2012. "The Stability of the German Housing Market," MPRA Paper 43315, University Library of Munich, Germany.
    7. Russell Kashian & Robert Drago, 2017. "Minority-Owned Banks and Bank Failures After the Financial Collapse," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(1), pages 5-36, February.
    8. Russ Kashian & Richard G. Cummings & Peter Westort, 2017. "Equity and asset growth among Subchapter S banks," Applied Economics Letters, Taylor & Francis Journals, vol. 24(12), pages 854-857, July.
    9. Vera Ivanyuk, 2021. "Modeling of Crisis Processes in the Financial Market," Economies, MDPI, vol. 9(4), pages 1-17, October.
    10. Robert Pollin & James Heintz, 2013. "Study of U.S. Financial System," FESSUD studies fstudy10, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    11. Yang Liu & Qingguo Zeng & Bobo Li & Lili Ma & Joaquín Ordieres‐Meré, 2022. "Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1131-1155, September.
    12. Russell Kashian & Richard McGregory & Robert Drago, 2017. "Minority owned banks and efficiency revisited," Journal of Productivity Analysis, Springer, vol. 48(2), pages 97-116, December.
    13. Nadav Ben Zeev, 2019. "Adjustable-Rate Mortgages, Systematic Monetary Policy, And The Root Cause Of The Financial Crisis," Working Papers 1908, Ben-Gurion University of the Negev, Department of Economics.

    More about this item

    Keywords

    EMD; EEMD; análisis espectral; mercados financieros; crisis financieras;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:imx:journl:v:18:y:2023:i:1:a:4. 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: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    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.