Linear approximations and tests of conditional pricing models
If a nonlinear risk premium in a conditional asset pricing model is approximated with a linear function, as is commonly done in empirical research, the fitted model is misspecified. We use a generic reduced-form model economy with moderate risk premium nonlinearity to examine the size of the resulting misspecification-induced pricing errors. Pricing errors from moderate nonlinearity can be large, and a version of a test for nonlinearity based on risk premiums rather than pricing errors has reasonable power properties after properly controlling for the size of the test. We conclude by examining the importance of moderate nonlinearity in the context of the investment-specific technology shock models of Papanikolaou (2011) and Kogan and Papanikolaou (2014).
Duke Scholars
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Related Subject Headings
- Finance
- 3502 Banking, finance and investment
- 3501 Accounting, auditing and accountability
- 1502 Banking, Finance and Investment
- 1501 Accounting, Auditing and Accountability
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Finance
- 3502 Banking, finance and investment
- 3501 Accounting, auditing and accountability
- 1502 Banking, Finance and Investment
- 1501 Accounting, Auditing and Accountability