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Theoretical Relations Between Risk Premiums and Conditional Variances

Bibliographic Data

ID19419306
AuthorsDavid K Backus, David Backus (New York University), Allan W Gregory (Queen's University)
Year1993
Volume11
Issue2
Pages177-185
Publication date1993-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1993.10509946
OpenAlexW2068316529
LanguageEN
Citations received5
References cited37

Many statistical models of time-varying risk premiums, including the autoregressive conditional heteroscedasticity (ARCH)-in-mean, attempt to exploit a relation between risk premiums and conditional variances or covariances of asset returns. We examine this relation in numerical versions of a dynamic asset-pricing theory and show that it can be increasing, decreasing, flat, or nonmonotonic. Its shape depends on both the preferences of the representative agent and the stochastic structure of the economy. Without additional structure, the theory does not provide either a general foundation for ARCH-in-mean specifications or a simple interpretation of their parameters

Arch · Autoregressive conditional heteroskedasticity · Autoregressive model · Capital asset pricing model · Conditional expectation · Conditional variance · Econometrics · Economics · Heteroscedasticity · Risk premium · Complex Systems and Time Series Analysis · Computer Science · Financial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Mathematics

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Unique citing works5
Citations per year0,22
Citation span2003 - 2019 (17)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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