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Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market

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  • Juan Carlos Gutierrez Betancur

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Abstract

This paper examines the effect exerted by outliers in the equity betas in the Integrated Latin American Market (MILA), estimated by two different methods: ordinary least squares (OLS) and robust estimation (RMM). To illustrate the empirical relevance of the estimated betas, we evaluate the hedging ratio using stock index futures. The results indicate that the estimates made by the RMM method provide a better fit and increase the efficiency of a hedging strategy when there are outliers in the estimation window of beta.

Suggested Citation

  • Juan Carlos Gutierrez Betancur, 2017. "Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market," Revista Ecos de Economía, Universidad EAFIT, vol. 21(44), pages 37-71, June.
  • Handle: RePEc:col:000442:015652
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    File URL: http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/4412
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    References listed on IDEAS

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    More about this item

    Keywords

    Estimation of beta; robust statistics MM (RMM); ordinary least squares (OLS); hedging ratio with stock MILA market index futures.;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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