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Persistence characteristics of Latin American financial markets

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  • Kyaw, NyoNyo A.
  • Los, Cornelis A.
  • Zong, Sijing

Abstract

Static time series models usually assume stationarity, normality, and independence for the increments of financial rates of return. This paper investigates the empirical characteristics of financial rates of return from Latin American stock and currency markets and documents that their empirical rates of return are non-normal, non- stationary and non-ergodic, and that they exhibit long-term dependence. This paper measures the degree of long-term dependence of these financial time series by calculating their global, or homogeneous, Hurst exponents from their wavelet multiresolution analyses (MRA), i.e. from the wavelet resonance coefficients. Visualizations of these resonance coefficients and their power spectra are provided by scalograms and scalegrams, respectively. These visualizations help to identify the long-term dependence characteristics, which cannot be identified by the classical time series analysis, which is based on the stationarity and independence assumptions. Our findings are consistent with some empirical findings from financial market data in the USA, in Europe and in Asia, but extend their domain of empirical investigation.
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Suggested Citation

  • 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.
  • Handle: RePEc:eee:mulfin:v:16:y:2006:i:3:p:269-290
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    Cited by:

    1. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    2. Los, Cornelis A. & Yu, Bing, 2008. "Persistence characteristics of the Chinese stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 64-82.
    3. Fernandez, Viviana, 2007. "A postcard from the past: The behavior of U.S. stock markets during 1871–1938," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 267-282.
    4. Jamdee, Sutthisit & Los, Cornelis A., 2007. "Long memory options: LM evidence and simulations," Research in International Business and Finance, Elsevier, vol. 21(2), pages 260-280, June.
    5. Espinosa Méndez, Christian, 2005. "Evidencia De Comportamiento Caótico En Indices Bursátiles Americanos
      [Evidence Of Chaotic Behavior In American Stock Markets]
      ," MPRA Paper 2794, University Library of Munich, Germany, revised 30 Jun 2006.
    6. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behaviour in Mediterranean stock markets: a wavelet-based approach," Applied Economics, Taylor & Francis Journals, vol. 46(22), pages 2611-2622, August.
    7. repec:wsi:ijtafx:v:11:y:2008:i:07:n:s0219024908005019 is not listed on IDEAS

    More about this item

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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