• Medientyp: E-Book
  • Titel: Optimal Tilts
  • Beteiligte: Baker, Malcolm P. [VerfasserIn]; Burnham, Terence [Sonstige Person, Familie und Körperschaft]; Taliaferro, Ryan [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2016]
  • Umfang: 1 Online-Ressource (39 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2735129
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 12, 2016 erstellt
  • Beschreibung: We examine the optimal weighting of four characteristic tilts in US equity markets over the period from 1968 through 2014. We define a “tilt” as a positive-Sharpe-ratio, characteristic-based portfolio strategy that requires relatively low annual turnover and a “trade” as a characteristic-based portfolio strategy that requires relatively high annual turnover and liquidity demands. Size is a tilt, because of its very low turnover; high frequency reversal is a trade. This dichotomy is necessary to make practical use of Fama-French style factor regressions. Unlike low-turnover tilts, a full history of transaction costs and an estimate of capacity is critical to determine the expected return, and hence the optimal allocation and explanatory power of trades. The mean-variance optimal tilts toward value (20%), size (26%), and profitability (23%) are roughly equal to each other and to the optimal low beta tilt (24%). The remaining 7% is allocated to bond market factors. Notably, in an apples-to-apples comparison, the low beta tilt is not subsumed by other tilts. Rather, it is the second highest of the four
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