• Medientyp: E-Book
  • Titel: Cross-section without factors : correlation risk, strings and asset prices
  • Beteiligte: Distaso, Walter [VerfasserIn]; Mele, Antonio [VerfasserIn]; Vilkov, Grigory [VerfasserIn]
  • Erschienen: Geneva: Swiss Finance Institute, 2021
  • Erschienen in: Swiss Finance Institute: Research paper series ; 2020,119
  • Ausgabe: This version: January 13, 2021
  • Umfang: 1 Online-Ressource (circa 55 Seiten); Illustrationen
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3665181
  • Identifikator:
  • Schlagwörter: correlation premium ; premium for correlation risk ; cross-section of returns ; big stocks ; string models ; implied correlation ; arbitrage pricing ; Graue Literatur
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Many asset pricing theories treat the cross-section of returns volatility and correlations as two intimately related quantities driven by common factors, which hinders achieving a neat definition of a correlation premium. We formulate a model without factors, but with a continuum of securities that have returns driven by a string. In this model, the arbitrage restrictions require that any asset premium links to the granular exposure of the asset returns to shocks in all other asset returns: an average correlation premium. This premium is both statistically and economically significant, and considerably fluctuates, driven by time-varying correlations and global market developments. The model predictions also lead to uncover fresh properties of big stocks. Big stocks display a high degree of market connectivity in bad times, but they are safer than other stocks, thereby providing hedges against times of heightened correlations. Finally, the model also explains the time-series behavior of the premium for the risk of changes in asset correlations (the premium for correlation risk), including its inverse relation with realized correlations
  • Zugangsstatus: Freier Zugang