IDEAS home Printed from https://ideas.repec.org/a/ety/journl/v44y2016i1p115-146.html
   My bibliography  Save this article

Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error

Author

Listed:
  • Raúl De Jesús Gutiérrez.

    (Universidad Autónoma del Estado de México.)

Abstract

Este trabajo amplía los modelos de correlación condicional dinámica de Engle y de Tse y Tsui al incorporar términos de corrección de error en el diseño de estrategias de cobertura cruzada dinámicas de varianza mínima para el petróleo mexicano. Respecto a la reducción del riesgo, la evidencia empírica confirma el desempeño superior del modelo MGARCH-CCD de Engle cuando se utiliza el mercado de futuros del WTI como mecanismo de cobertura, en particular para los crudos Olmeca e Istmo. Los hallazgos tienen importantes implicaciones económicos-financieras para gobierno y consumidores, debido a la eficiencia y transparencia de las coberturas cruzadas implementadas para reducir el riesgo de bajos precios.

Suggested Citation

  • Raúl De Jesús Gutiérrez., 2016. "Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 44(1), pages 115-146, Enero-Jun.
  • Handle: RePEc:ety:journl:v:44:y:2016:i:1:p:115-146
    DOI: 10.24275/ETYPUAM/NE/442016/DeJesus
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.24275/ETYPUAM/NE/442016/DeJesus
    Download Restriction: no

    File URL: https://libkey.io/10.24275/ETYPUAM/NE/442016/DeJesus?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    modelos MGARCH-CCD con término de corrección de error; razón de cobertura cruzada óptima; índice eficiente de cobertura; mercados de futuros petroleros.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:ety:journl:v:44:y:2016:i:1:p:115-146. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Georgina Alenka Guzmán Chávez (email available below). General contact details of provider: https://edirc.repec.org/data/etyuamx.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.