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Are standard asset pricing factors long-range dependent?

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  • Benjamin Rainer Auer

    (Department of Finance
    Chair of Financial Services
    CESifo Munich, Research Network Area Macro, Money and International Finance)

Abstract

Factor portfolios derived from phenomena identified in the cross-section of stock returns have become vital parts of modern investment products and financial models. Even though much has been learned about the properties of these portfolios in recent years, one issue still remains unaddressed. Are factor returns long-range dependent (LRD)? We seek to answer this important research question because if factor returns were LRD, optimal portfolio decisions and traditional asset pricing methods/tests based on these factors would be severely biased and the validity of a large strand of prior research would be compromised. Specifically, using Hurst exponent approaches within rescaled range and detrended fluctuation frameworks, we analyse the presence of LRD in the returns of factor portfolios formed based on size, book-to-market, momentum and beta characteristics. For the periods from 1931 to 2014 (US market) and 1990 to 2014 (20 international markets) and supported by several robustness checks, we find no systematic evidence of persistence or anti-persistence in the factor returns. This implies that the factor use can be considered unproblematic in both asset management and asset pricing.

Suggested Citation

  • Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
  • Handle: RePEc:spr:jecfin:v:42:y:2018:i:1:d:10.1007_s12197-017-9385-y
    DOI: 10.1007/s12197-017-9385-y
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    2. Benjamin R. Auer, 2019. "Does the strength of capital market anomalies exhibit seasonal patterns?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 91-103, January.

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    Keywords

    Hurst exponent; Rescaled range analysis; Detrended fluctuation analysis; Size effect; Book-to-market effect; Momentum effect; Beta effect;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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