• Medientyp: E-Book
  • Titel: Neighbouring Assets
  • Beteiligte: Seyfi, Sina [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, 2023
  • Umfang: 1 Online-Ressource (59 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4311284
  • Identifikator:
  • Schlagwörter: Asset pricing ; portfolios ; cross-section of expected returns ; stock characteristics ; machine learning
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 23, 2022 erstellt
  • Beschreibung: Firms with similar characteristics display similar expected returns. Defining neighbouring assets as those with the most similar set of characteristics, I show that past returns of an asset's neighbours predict its future expected returns. If a majority of an asset's neighbours have performed poorly (well) in the past, it is likely that this asset also performs poorly (well) in the future. By classifying each asset into a decile portfolio based on the past performance of its neighbours, with 94 characteristics, a long-short portfolio generates an out-of-sample annualized Sharpe ratio of 1.15 with a monthly alpha of 2.72% (t = 8.86)
  • Zugangsstatus: Freier Zugang