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Returns Predictability and Stock Market Efficiency in Brazil

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  • Regis Augusto Ely

    (Departamento de Economia - Universidade de Brasília (UnB))

Abstract

This paper searches for evidence of predictability in the Brazilian stock market using portfolios grouped by sector and firm size with data from 1999 to 2008. I conduct an automatic variance ratio test using wild bootstrap. This methodology eliminates the arbitrary choice of the holding period as well as improves small sample properties. The results suggest (i) stocks from the industrial sector are highly predictable, (ii) stocks from small firms tend to be more predictable than the ones from large firms, (iii) the Brazilian stock market, measured by the Ibovespa index from 1986 to 2008, shows an increase of efficiency since 1994.

Suggested Citation

  • Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
    • Handle: RePEc:brf:journl:v:9:y:2011:i:4:p:571-584
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    2. Ghada Abbas, 2014. "Testing Random Walk Behavior in the Damascus Securities Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 317-325, October.
    3. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    4. Luiz Augusto Magalhães & Thiago Christiano Silva & Benjamin Miranda Tabak, 2022. "Hedging commodities in times of distress: The case of COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1941-1959, October.

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    More about this item

    Keywords

    Predictability; Efficient markets; Random walk; Variance ratio; Bootstrap;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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