We exploit the restrictions of intertemporal portfolio choice in the presence of nonfinancial income risk to test hedging using the information contained in the actual portfolio of the investor. We use a unique data set of Swedish investors with information broken down at the investor level and into various components of investor wealth, income, and demographic characteristics. Portfolio holdings are identified at the stock level. We show that investors do not hedge but invest in stocks closely related to their nonfinancial income. We explain this with familiarity, that is, the tendency to concentrate holdings in stocks to which the investor is geographically or professionally close or that he has held for a long period. We show that familiarity is not a behavioral bias, but is information driven. Familiarity-based investment allows investors to earn higher returns than they would have otherwise earned if they had hedged. Copyright 2006, Oxford University Press.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by Oxford University Press for Society for Financial Studies in its journal The Review of Financial Studies.
Volume (Year): 19 (2006) Issue (Month): 2 () Pages: 633-685 Download reference. The following formats are available: HTML,
plain text,
BibTeX,
RIS (EndNote),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)