IDEAS home Printed from https://ideas.repec.org/a/ipn/panora/vxiy2016i44p63-81.html
   My bibliography  Save this article

Crisis económica y financiera en México: causas y efectos multifactoriales

Author

Listed:
  • Almaraz-Rodríguez, Ignacio

    (Universidad Autónoma de Querétaro)

Abstract

Las crisis financieras que han afectado a México desde la década de los ochentas del siglo pasado hasta la actualidad han impactado de diferentes formas los indicadores macroeconómicos fundamentales de la economía mexicana. Varios factores se han conjuntado en los últimos años para la irrupción de las diferentes crisis que ha experimentado el país, entre ellos se encuentran el debilitamiento de la economía, las expectativas irracionales de los agentes económicos y el contagio que ha experimentado México por estar inmerso en un mundo globalizado. Las crisis financieras han tenido como consecuencia, entre otros: la falta de liquidez, el incremento de las tasas de desempleo, el aumento de la inflación y la reducción en las tasas de crecimiento. En la presente investigación se realiza un análisis del comportamiento de los indicadores macroeconómicos coyunturales durante las crisis económicas y financieras que han impactado a México en periodo 1980-2014. / The financial crises that hit Mexico since the eighties of the last century to the present had have many impacts in the Mexican´s macroeconomic indicators. Several factors have come together in recent years to the emergence of the different crises experienced by the country, among them are the weakening economy, irrational expectations of economic agents and contagion that experience Mexico by being immersed in a globalized world. Financial crises have resulted, among others: lack of liquidity, increased unemployment rates, rising inflation and reduced growth rates. In this research we present an analysis of the cyclical behavior of macroeconomic indicators is done during economic and financial crises that have hit Mexico in between 1980-2014.

Suggested Citation

  • Almaraz-Rodríguez, Ignacio, 2016. "Crisis económica y financiera en México: causas y efectos multifactoriales," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(44), pages 63-81, primer se.
    • Handle: RePEc:ipn:panora:v:xi:y:2016:i:44:p:63-81
    as

    Download full text from publisher

    File URL: http://yuss.me/revistas/ese/ese2016v11n44a03p063_081.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fan, Ying & Liang, Qiang & Wei, Yi-Ming, 2008. "A generalized pattern matching approach for multi-step prediction of crude oil price," Energy Economics, Elsevier, vol. 30(3), pages 889-904, May.
    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. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    2. Lu-Tao Zhao & Guan-Rong Zeng & Ling-Yun He & Ya Meng, 2020. "Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1151-1169, April.
    3. Xie Haibin & Zhou Mo & Yu Mei & Hu Yi, 2014. "Forecasting the Crude Oil Price with Extreme Values," Journal of Systems Science and Information, De Gruyter, vol. 2(3), pages 193-205, June.
    4. Baruník, Jozef & Malinská, Barbora, 2016. "Forecasting the term structure of crude oil futures prices with neural networks," Applied Energy, Elsevier, vol. 164(C), pages 366-379.
    5. Jiangwei Liu & Xiaohong Huang, 2021. "Forecasting Crude Oil Price Using Event Extraction," Papers 2111.09111, arXiv.org.
    6. Bekiroglu, Korkut & Duru, Okan & Gulay, Emrah & Su, Rong & Lagoa, Constantino, 2018. "Predictive analytics of crude oil prices by utilizing the intelligent model search engine," Applied Energy, Elsevier, vol. 228(C), pages 2387-2397.
    7. Sina Aghaei, 2018. "A Data-Driven Approach for Modeling Stochasticity in Oil Market," Papers 1805.12110, arXiv.org.
    8. Parviz Sohrabi & Behshad Jodeiri Shokri & Hesam Dehghani, 2023. "Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 207-216, June.
    9. Cheong, Chin Wen, 2009. "Modeling and forecasting crude oil markets using ARCH-type models," Energy Policy, Elsevier, vol. 37(6), pages 2346-2355, June.
    10. Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
    11. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    12. Chen, Yanhui & Zhang, Chuan & He, Kaijian & Zheng, Aibing, 2018. "Multi-step-ahead crude oil price forecasting using a hybrid grey wave model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 98-110.
    13. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying & Huang, Wei-qiang, 2014. "Analysis of the temporal properties of price shock sequences in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 235-246.
    14. Krzysztof Drachal & Michał Pawłowski, 2021. "A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities," Economies, MDPI, vol. 9(1), pages 1-22, January.
    15. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
    16. Guo, Lili & Huang, Xinya & Li, Yanjiao & Li, Houjian, 2023. "Forecasting crude oil futures price using machine learning methods: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    17. García-Carranco, Sergio M. & Bory-Reyes, Juan & Balankin, Alexander S., 2016. "The crude oil price bubbling and universal scaling dynamics of price volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 60-68.
    18. Ghaffari, Ali & Zare, Samaneh, 2009. "A novel algorithm for prediction of crude oil price variation based on soft computing," Energy Economics, Elsevier, vol. 31(4), pages 531-536, July.
    19. Trapero, Juan R. & Pedregal, Diego J., 2009. "Frequency domain methods applied to forecasting electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 727-735, September.
    20. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.

    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:ipn:panora:v:xi:y:2016:i:44:p:63-81. 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: Juan Marroquín-Arreola (email available below). General contact details of provider: https://edirc.repec.org/data/eeipnmx.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.