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Generalized Methods of Moments

Applications in Finance

Bibliographic Data

ID19418708
AuthorsRavi Jagannathan (Northwestern University), Georgios Skoulakis (0000-0002-5156-1890, Northwestern University), Zhenyu Wang (0000-0003-0036-8000, Northwestern University)
Year2002
Volume20
Issue4
Pages470-481
Publication date2002-10-01
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)
DOI10.1198/073500102288618612
OpenAlexW2079415868
LanguageEN
Citations received3
References cited61

We provide a brief overview of applications of generalized method of moments in finance. The models examined in the empirical finance literature, especially in the asset pricing area, often imply moment conditions that can be used in a straight forward way to estimate the model parameters without making strong assumptions regarding the stochastic properties of variables observed by the econometrician. Typically the number of moment conditions available to the econometrician would exceed the number of model parameters. This gives rise to overidentifying restrictions that can be used to test the validity of the model specifications. These advantages have led to the widespread use of the generalized method of moments in the empirical finance literature

Capital asset pricing model · Econometrics · Economics · Empirical research · Generalized method of moments · Panel data · Statistics · Computer Science · Financial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Mathematics · Stochastic processes and financial applications

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Unique citing works3
Citations per year0,15
Citation span2006 - 2023 (18)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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