Asset pricing in the frequency domain: theory and empirics
Stefano Giglio and
Ian Dew-Becker
No 1244, 2013 Meeting Papers from Society for Economic Dynamics
Abstract:
In many affine asset pricing models, the innovation to the pricing kernel is a function of innovations to current and expected future values of an economic state variable, often consumption growth, aggregate market returns, or short-term interest rates. The impulse response of the priced state variable to various shocks has a frequency (Fourier) decomposition, and we show that the price of risk for a given shock can be represented as a weighted integral over that spectral decomposition. In terms of consumption growth, Epstein-Zin preferences imply that the weight of the pricing kernel lies largely at low frequencies, while internal habit-formation models imply that the weight is shifted to high frequencies. We estimate spectral weighting functions for the equity market semi-parametrically and find that they place most of their weight at low frequencies, consistent with Epstein-Zin preferences. For Treasuries, we find that investors view increases in interest rates at low frequencies and decreases at business-cycle frequencies negatively.
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2013/paper_1244.pdf (application/pdf)
Related works:
Journal Article: Asset Pricing in the Frequency Domain: Theory and Empirics (2016) 
Working Paper: Asset Pricing in the Frequency Domain: Theory and Empirics (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:red:sed013:1244
Access Statistics for this paper
More papers in 2013 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().