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Testing Long Memory in Stock Returns of Emerging Markets: Some Further Evidence

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  • Hiremath, Gourishankar S
  • Bandi, Kamaiah

Abstract

The paper examines the long memory in stock returns of emerging markets. Unlike earlier studies, present study carries out a biased reduced semi-parametric test to detect long memory in mean process and uses diverse and updated data set. The test results finds no strong evidence of long memory in mean process of stock returns both in emerging and developed markets. This is in contract with earlier studies, which conclude that emerging markets in general characterized by long memory process. Hence, long memory is not a peculiar characteristic of emerging markets but appear to be stylized fact of asset returns irrespective of stage of development of the market. Short memory models are thus sufficient to forecast the future returns.

Suggested Citation

  • Hiremath, Gourishankar S & Bandi, Kamaiah, 2011. "Testing Long Memory in Stock Returns of Emerging Markets: Some Further Evidence," MPRA Paper 48517, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:48517
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    Cited by:

    1. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    2. Héctor F. Salazar-Núñez & Francisco Venegas-Martínez & Cuauhtémoc Calderón-Villareal, 2017. "¿Existe memoria larga en mercados bursátiles, o depende del modelo, periodo o frecuencia? (Is there Long Memory in Stock Markets, or Does it Depend on the Model, Period or Frequency?)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 1-24, May.
    3. Pece Andreea Maria & Ludusan (Corovei) Emilia Anuta & Mutu Simona, 2013. "Testing The Long Range-Dependence For The Central Eastern European And The Balkans Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1113-1124, July.

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    More about this item

    Keywords

    Long memory; volatility persistence; mean-reversion; semi-parametric test; hyperbolic decay; market efficiency; Indian Stock Market; NSE; BSE.;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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