The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries
Hui Guo () and
No 2006-036, Working Papers from Federal Reserve Bank of St. Louis
This paper suggests that CAPM-based idiosyncratic variance (IV) correlates negatively with future stock returns because it is a proxy for loadings on discount-rate shocks in Campbell*s (1993) ICAPM. The ICAPM also implies that there are important links between the time-series and cross-sectional IV effects. For example, the coefficients on conditional stock market variance and value-weighted average IV obtained from the time-series regressions reflect loadings on stock market returns and discount-rate shocks, respectively; therefore, they should help explain the cross section of stock returns. Moreover, we expect a close relation between the IV and book-to-market effects because recent studies show that the latter also reflects intertemporal pricing. These conjectures are strongly supported by the G7 countries* data.
Keywords: Stock; exchanges (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedlwp:2006-036
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Papers from Federal Reserve Bank of St. Louis Contact information at EDIRC.
Bibliographic data for series maintained by ().