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The beta heuristic from a time/frequency perspective: A wavelet analysis of the market risk of sectors

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  • McNevin, Bruce D.
  • Nix, Joan

Abstract

Wavelet methodology is used to estimate scale betas for eleven industry/sectors for the period 1986-2016. A comparison of scale betas with standard regression estimates of betas finds no significant differences for any of the sectors at high frequency/low scales. However, for most of the sectors there are significant differences at medium and high scales. A rolling 60 month window shows that scale betas may differ from standard betas substantially for several years. Implications for portfolio managers, especially those employing beta rotation strategies, are provided.

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  • McNevin, Bruce D. & Nix, Joan, 2018. "The beta heuristic from a time/frequency perspective: A wavelet analysis of the market risk of sectors," Economic Modelling, Elsevier, vol. 68(C), pages 570-585.
    • Handle: RePEc:eee:ecmode:v:68:y:2018:i:c:p:570-585
    DOI: 10.1016/j.econmod.2017.03.024
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    More about this item

    Keywords

    Wavelet analysis; CAPM; Equity betas; Sectors;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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