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Article: Macro-Finance Models with Nonlinear Dynamics

TitleMacro-Finance Models with Nonlinear Dynamics
Authors
KeywordsDSGE models
dynamic stochastic general equilibrium models
endogenous jump risk
financial constraints
liquidity
systemic risk
Issue Date1-Nov-2023
PublisherAnnual Reviews
Citation
Annual Review of Financial Economics, 2023, v. 15, p. 407-432 How to Cite?
Abstract

We review macro-finance models featuring nonlinear dynamics that have recently been developed in the literature, including models with funding liquidity constraints, market liquidity frictions, and bank run frictions, and discuss the empirical evidence and challenges of this class of models. We also construct an illustrative model featuring financial frictions and nonlinear dynamics for readers who are unfamiliar with the literature. We solve the model using different solution techniques, including both global and perturbation solution methods, and comprehensively compare the accuracy of these solutions. Within this framework, we highlight that local linearization approximations omit important nonlinear dynamics and yield biased impulse responses.


Persistent Identifierhttp://hdl.handle.net/10722/339130
ISSN
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 4.854
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDou, Winston Wei-
dc.contributor.authorFang, Xiang-
dc.contributor.authorLo, Andrew-
dc.contributor.authorUhlig, Harald-
dc.date.accessioned2024-03-11T10:34:07Z-
dc.date.available2024-03-11T10:34:07Z-
dc.date.issued2023-11-01-
dc.identifier.citationAnnual Review of Financial Economics, 2023, v. 15, p. 407-432-
dc.identifier.issn1941-1367-
dc.identifier.urihttp://hdl.handle.net/10722/339130-
dc.description.abstract<p>We review macro-finance models featuring nonlinear dynamics that have recently been developed in the literature, including models with funding liquidity constraints, market liquidity frictions, and bank run frictions, and discuss the empirical evidence and challenges of this class of models. We also construct an illustrative model featuring financial frictions and nonlinear dynamics for readers who are unfamiliar with the literature. We solve the model using different solution techniques, including both global and perturbation solution methods, and comprehensively compare the accuracy of these solutions. Within this framework, we highlight that local linearization approximations omit important nonlinear dynamics and yield biased impulse responses.<br></p>-
dc.languageeng-
dc.publisherAnnual Reviews-
dc.relation.ispartofAnnual Review of Financial Economics-
dc.subjectDSGE models-
dc.subjectdynamic stochastic general equilibrium models-
dc.subjectendogenous jump risk-
dc.subjectfinancial constraints-
dc.subjectliquidity-
dc.subjectsystemic risk-
dc.titleMacro-Finance Models with Nonlinear Dynamics-
dc.typeArticle-
dc.identifier.doi10.1146/annurev-financial-110921-112053-
dc.identifier.scopuseid_2-s2.0-85176776969-
dc.identifier.volume15-
dc.identifier.spage407-
dc.identifier.epage432-
dc.identifier.eissn1941-1375-
dc.identifier.isiWOS:001094251900022-
dc.identifier.issnl1941-1367-

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