Generalized Transform Analysis of Affine Processes and Applications in Finance
Hui Chen () and
Scott Joslin
No 16906, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
Nonlinearity is an important consideration in many problems of finance and economics, such as pricing securities, computing equilibrium, and conducting structural estimations. We extend the transform analysis in Duffie, Pan, and Singleton (2000) by providing analytical treatment of a general class of nonlinear transforms for processes with tractable conditional characteristic functions. We illustrate the applications of the generalized transform method in pricing contingent claims and solving general equilibrium models with preference shocks, heterogeneous agents, or multiple goods. We also apply the method to a model of time-varying labor income risk and study the implications of stochastic covariance between labor income and dividends for the dynamics of the risk premiums on financial wealth and human capital.
JEL-codes: C5 G10 G12 G13 (search for similar items in EconPapers)
Date: 2011-03
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Published as Hui Chen & Scott Joslin, 2012. "Generalized Transform Analysis of Affine Processes and Applications in Finance," Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2225-2256.
Downloads: (external link)
http://www.nber.org/papers/w16906.pdf (application/pdf)
Related works:
Journal Article: Generalized Transform Analysis of Affine Processes and Applications in Finance (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:16906
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w16906
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().