Estimating the risk-return trade-off with overlapping data inference

  • Esben Hedegaard Esben Hedegaard
  • Robert Hodrick Robert Hodrick

Asset pricing models such as the conditional CAPM are typically estimated with MLE using a monthly or quarterly horizon with data sampled to match the horizon even though daily data are available. We develop an overlapping data inference methodology (ODIN) that uses all of the data while maintaining the monthly or quarterlyforecasting period, and we apply it to the conditional CAPM. Our approach recognizes that the first order conditions of MLE can be used as orthogonality conditions of GMM. Using historical data, we find considerable differences in the estimates from the non-overlapping samples that begin on different days.

Netspar, Network for Studies on Pensions, Aging and Retirement, is een denktank en kennisnetwerk. Netspar is gericht op een goed geïnformeerd pensioendebat.

MEER OVER NETSPAR


Missie en strategie           •           Netwerk           •           Organisatie           •          Podcasts
Board Brief            •            Werkprogramma 2023-2027           •           Onderzoeksagenda

OVER NETSPAR

Onze partners

vu
NN_logo_gray
B20190901_nidi-logo_greyscale
B20160708_apg
B20160708_ministeries
Bekijk al onze partners