IDEAS home Printed from https://ideas.repec.org/p/shs/wpaper/0702.html
   My bibliography  Save this paper

Common Volatility across Latin American Foreign Exchange Markets

Author

Listed:
  • Isabel Ruiz

    (Department of Economics and International Business, Sam Houston State University)

Abstract

This paper uses high frequency exchange rate data for a group of twelve Latin American countries to analyze volatility comovements. Particular interest is posed on understanding the existence of a common volatility process during the 1994–2005 period. The analysis relies on bivariate common factor models. We test for second-order common features using the common ARCH-feature methodology developed by Engle and Kozicki (1993). Overall, the results of this paper indicate that while most currencies display evidence of time-varying variance, the volatility movements in the Latin American foreign exchange markets seems to be mainly country specific. Only a few markets show evidence of a common volatility process.

Suggested Citation

  • Isabel Ruiz, 2007. "Common Volatility across Latin American Foreign Exchange Markets," Working Papers 0702, Sam Houston State University, Department of Economics and International Business.
    • Handle: RePEc:shs:wpaper:0702
    as

    Download full text from publisher

    File URL: http://www.shsu.edu/academics/economics-and-international-business/documents/wp_series/wp07-02.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Klaassen, F.J.G.M., 1999. "Have Exchange Rates Become More Closely Tied? Evidence from a New Multivariate GARCH Model," Other publications TiSEM af43cd1c-9656-4e45-bfd1-f, Tilburg University, School of Economics and Management.
    2. Sebastian Edwards, 1998. "Capital Inflows into Latin America: A Stop-Go Story?," NBER Working Papers 6441, National Bureau of Economic Research, Inc.
    3. Anderson, Heather M. & Vahid, Farshid, 2007. "Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help?," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 76-90, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hecq Alain & Palm Franz C. & Laurent Sébastien, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Journal of Time Series Econometrics, De Gruyter, vol. 8(2), pages 91-113, July.
    2. Haakon Kavli & Kevin Kotzé, 2014. "Spillovers in Exchange Rates and the Effects of Global Shocks on Emerging Market Currencies," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 209-238, June.
    3. David McMillan & Isabel Ruiz & Alan Speight, 2010. "Correlations and spillovers among three euro rates: evidence using realised variance," The European Journal of Finance, Taylor & Francis Journals, vol. 16(8), pages 753-767.
    4. Scott W. Hegerty, 2014. "Interest-rate volatility and volatility transmission in nine Latin American countries," Applied Financial Economics, Taylor & Francis Journals, vol. 24(13), pages 927-937, July.
    5. Arturo Lorenzo-Valdés & Antonio Ruiz-Porras, 2012. "Los rendimientos cambiarios latinoamericanos y la (a)simetría de los shocks informacionales: un análisis econométrico," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 87-113, November.

    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. Jiahe Lin & George Michailidis, 2019. "Approximate Factor Models with Strongly Correlated Idiosyncratic Errors," Papers 1912.04123, arXiv.org.
    2. Robert-Paul Berben & Jan Marc Berk, 2002. "Requirements for successful currency regimes: the Dutch and Thai experiences," MEB Series (discontinued) 2002-16, Netherlands Central Bank, Monetary and Economic Policy Department.
    3. Kyaw, NyoNyo A. & Los, Cornelis A. & Zong, Sijing, 2006. "Persistence characteristics of Latin American financial markets," Journal of Multinational Financial Management, Elsevier, vol. 16(3), pages 269-290, July.
    4. David McMillan & Isabel Ruiz & Alan Speight, 2010. "Correlations and spillovers among three euro rates: evidence using realised variance," The European Journal of Finance, Taylor & Francis Journals, vol. 16(8), pages 753-767.
    5. Sebastian Edwards, 2001. "Exchange Rate Regimes, Capital Flows and Crisis Prevention," NBER Working Papers 8529, National Bureau of Economic Research, Inc.
    6. Abramov, Vyacheslav & Klebaner, Fima, 2006. "Forecasting and testing a non-constant volatility," MPRA Paper 207, University Library of Munich, Germany.
    7. Fei, Tianlun & Liu, Xiaoquan & Wen, Conghua, 2019. "Cross-sectional return dispersion and volatility prediction," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    8. Yin Liao & Heather Anderson & Farshid Vahid, 2010. "Do Jumps Matter? Forecasting Multivariate Realized Volatility Allowing for Common Jumps," ANU Working Papers in Economics and Econometrics 2010-520, Australian National University, College of Business and Economics, School of Economics.
    9. Yang Gao & Bianxia Sun, 2018. "Impacts of Introducing Index Futures on Stock Market Volatilities: New Evidences from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-23, December.
    10. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    11. Demir, Firat, 2006. "Volatility of short term capital flows, financial anarchy and private investment in emerging markets," MPRA Paper 3080, University Library of Munich, Germany, revised May 2007.
    12. J. Piplack & M. Beine & B. Candelon, 2009. "Comovements of Returns and Volatility in International Stock Markets: A High-Frequency Approach," Working Papers 09-10, Utrecht School of Economics.
    13. Vyacheslav Abramov & Fima Klebaner, 2007. "Estimation and Prediction of a Non-Constant Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(1), pages 1-23, March.
    14. Vittorio Corbo, 2002. "Monetary Policy in Latin America in the 90s," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy: Rules and Transmission Mechanisms, edition 1, volume 4, chapter 6, pages 117-166, Central Bank of Chile.
    15. Sebastian Edwards, 1999. "Crisis Prevention: Lessons from Mexico and East Asia," NBER Working Papers 7233, National Bureau of Economic Research, Inc.
    16. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    17. David McMillan, 2001. "Common stochastic volatility trend in European exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 605-608.
    18. Alejandro Diaz-Bautista & Cesar Alfredo Olivas Andrade, 2005. "Un Análisis de cointegración con corrección de errores de las Fugas de Capital y la Inestabilidad Política en México , An econometric model of capital flight in Mexico," International Finance 0511004, University Library of Munich, Germany.
    19. Heather M. Anderson & Farshid Vahid, 2013. "Common non-linearities in multiple series of stock market volatility," Monash Econometrics and Business Statistics Working Papers 1/13, Monash University, Department of Econometrics and Business Statistics.
    20. Andreou, Elena & Ghysels, Eric, 2021. "Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors," Journal of Econometrics, Elsevier, vol. 220(2), pages 366-398.

    More about this item

    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:shs:wpaper:0702. 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: Christian Raschke (email available below). General contact details of provider: https://edirc.repec.org/data/deshsus.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.