IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v16y2021i1a7.html
   My bibliography  Save this article

Spillovers entre los principales Mercados Accionarios de Latinoamérica, Estados Unidos y el Mercado Petrolero

Author

Listed:
  • Domingo Rodríguez Benavides

    (Universidad Autónoma Metropolitana, México)

  • Nancy Muller Durán

    (Universidad Nacional Autónoma de México, México)

  • José Antonio Climent Hernández

    (Universidad Autónoma Metropolitana, México)

Abstract

El presente artículo analiza los spillovers tanto en los rendimientos como entre sus volatilidades existentes entre el precio internacional del petróleo y los principales mercados bursátiles de América Latina y Estados Unidos. Con base en la metodología de Diebold y Yilmaz (2009, 2012), construimos un índice de spillovers (IS) para los rendimientos y otro para las volatilidades. Los resultados muestran que el primer índice tiene mayores efectos en comparación con lo obtenido por el segundo y que existe una interdependencia débil entre los rendimientos de los mercados bursátiles analizados y los del mercado petrolero.

Suggested Citation

  • Domingo Rodríguez Benavides & Nancy Muller Durán & José Antonio Climent Hernández, 2021. "Spillovers entre los principales Mercados Accionarios de Latinoamérica, Estados Unidos y el Mercado Petrolero," 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. 16(1), pages 1-18, Enero - M.
  • Handle: RePEc:imx:journl:v:16:y:2021:i:1:a:7
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/573
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Mohanty, Sunil K. & Nandha, Mohan & Turkistani, Abdullah Q. & Alaitani, Muhammed Y., 2011. "Oil price movements and stock market returns: Evidence from Gulf Cooperation Council (GCC) countries," Global Finance Journal, Elsevier, vol. 22(1), pages 42-55.
    3. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    4. Chen, Shiu-Sheng, 2010. "Do higher oil prices push the stock market into bear territory?," Energy Economics, Elsevier, vol. 32(2), pages 490-495, March.
    5. Ågren, Martin, 2006. "Does Oil Price Uncertainty Transmit to Stock Markets?," Working Paper Series 2006:23, Uppsala University, Department of Economics.
    6. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    7. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    8. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    9. Gisser, Micha & Goodwin, Thomas H, 1986. "Crude Oil and the Macroeconomy: Tests of Some Popular Notions: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(1), pages 95-103, February.
    10. Rotemberg, Julio J & Woodford, Michael, 1996. "Imperfect Competition and the Effects of Energy Price Increases on Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 550-577, November.
    11. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    12. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    13. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    14. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    16. Mathieu Gomes & Anissa Chaibi, 2014. "Volatility Spillovers Between Oil Prices And Stock Returns: A Focus On Frontier Markets," Post-Print hal-02314397, HAL.
    17. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    18. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    19. Hooker, Mark A., 1996. "What happened to the oil price-macroeconomy relationship?," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 195-213, October.
    20. Malik, Farooq & Hammoudeh, Shawkat, 2007. "Shock and volatility transmission in the oil, US and Gulf equity markets," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 357-368.
    21. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    22. Hooker, Mark A., 1996. "This is what happened to the oil price-macroeconomy relationship: Reply," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 221-222, October.
    23. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Sensoy, Ahmet & Kang, Sang Hoon, 2019. "Energy, precious metals, and GCC stock markets: Is there any risk spillover?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 45-70.
    24. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    25. Prachowny,Martin F. J., 1986. "Money in the Macroeconomy," Cambridge Books, Cambridge University Press, number 9780521315944, September.
    26. Bachmeier, Lance, 2008. "Monetary policy and the transmission of oil shocks," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1738-1755, December.
    27. Anissa Chaibi & Mathieu Gomes, 2013. "Volatility Spillovers Between Oil Prices and Stock Returns: A Focus on Frontier Markets," Working Papers 2013-34, Department of Research, Ipag Business School.
    28. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
    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. Domingo Rodríguez Benavides & Nancy Muller Durán & José Antonio Climent Hernández, 2021. "Spillovers entre los principales Mercados Accionarios de Latinoamérica, Estados Unidos y el Mercado Petrolero," 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. 16(1), pages 1-18, Enero - M.
    2. Sarwar, Suleman & Khalfaoui, Rabeh & Waheed, Rida & Dastgerdi, Hamidreza Ghorbani, 2019. "Volatility spillovers and hedging: Evidence from Asian oil-importing countries," Resources Policy, Elsevier, vol. 61(C), pages 479-488.
    3. Stavros Degiannakis & George Filis & Vipin Arora, 2018. "Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence," The Energy Journal, , vol. 39(5), pages 85-130, September.
    4. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Jaime Casassus & Freddy Higuera, 2011. "Stock Return Predictability and Oil Prices," Documentos de Trabajo 406, Instituto de Economia. Pontificia Universidad Católica de Chile..
    6. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    7. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," Global Finance Journal, Elsevier, vol. 28(C), pages 132-146.
    8. Fardous Alom, 2014. "Oil Price-Macroeconomic Relationship in Australia and New Zealand: Application of a Hidden Cointegration Technique," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 6(2), pages 105-128, July.
    9. Alom, Fardous, 2011. "Economic Effects of Oil and Food Price Shocks in Asia and Pacific Countries: An Application of SVAR Model," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115346, New Zealand Agricultural and Resource Economics Society.
    10. Mensi, Walid & Hanif, Waqas & Vo, Xuan Vinh & Choi, Ki-Hong & Yoon, Seong-Min, 2023. "Upside/Downside spillovers between oil and Chinese stock sectors: From the global financial crisis to global pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    11. Balcilar, Mehmet & Gupta, Rangan & Miller, Stephen M., 2015. "Regime switching model of US crude oil and stock market prices: 1859 to 2013," Energy Economics, Elsevier, vol. 49(C), pages 317-327.
    12. Guru, Biplab Kumar & Pradhan, Ashis Kumar & Bandaru, Ramakrishna, 2023. "Volatility contagion between oil and the stock markets of G7 countries plus India and China," Resources Policy, Elsevier, vol. 81(C).
    13. Smyth, Russell & Narayan, Paresh Kumar, 2018. "What do we know about oil prices and stock returns?," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 148-156.
    14. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 397-419.
    15. Rebeca Jiménez-Rodríguez, 2015. "Oil price shocks and stock markets: testing for non-linearity," Empirical Economics, Springer, vol. 48(3), pages 1079-1102, May.
    16. Maghyereh, Aktham I. & Awartani, Basel & Bouri, Elie, 2016. "The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 57(C), pages 78-93.
    17. Gupta, Kartick, 2016. "Oil price shocks, competition, and oil & gas stock returns — Global evidence," Energy Economics, Elsevier, vol. 57(C), pages 140-153.
    18. Liu, Zhenhua & Shi, Xunpeng & Zhai, Pengxiang & Wu, Shan & Ding, Zhihua & Zhou, Yuqin, 2021. "Tail risk connectedness in the oil-stock nexus: Evidence from a novel quantile spillover approach," Resources Policy, Elsevier, vol. 74(C).
    19. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.
    20. Awerbuch, Shimon & Sauter, Raphael, 2006. "Exploiting the oil-GDP effect to support renewables deployment," Energy Policy, Elsevier, vol. 34(17), pages 2805-2819, November.

    More about this item

    Keywords

    Descomposición de la varianza; rendimientos accionarios; Spillovers;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    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:16:y:2021:i:1:a:7. 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.