The Handbook of Post Crisis Financial Modeling 2016
DOI: 10.1007/978-1-137-49449-8_10
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Post-Crisis Macrofinancial Modeling: Continuous Time Approaches

Abstract: We are grateful for comments from Marcus Brunnermeier and from the handbook editors 1 An example of such a DSGE extension is Meh and Moran [2010] who generalise the financial accelerator to include a bank-moral hazard based on Holmstrom and Tirole [1997].

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Cited by 3 publications
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“…An alternative perspective on the propagation of macroeconomic shocks is found in the literature on endogenous risk in traded asset markets (see [51][52][53] in which asset price volatility limits access to external finance. In their overview of the impacts of financing constraints on macrofinancial dynamics using continuous-time modelling [54] highlighted some further recent analysis of this kind [2,55,56] that focused on the impacts of financial constraints on asset prices.…”
Section: Related Literaturementioning
confidence: 99%
“…An alternative perspective on the propagation of macroeconomic shocks is found in the literature on endogenous risk in traded asset markets (see [51][52][53] in which asset price volatility limits access to external finance. In their overview of the impacts of financing constraints on macrofinancial dynamics using continuous-time modelling [54] highlighted some further recent analysis of this kind [2,55,56] that focused on the impacts of financial constraints on asset prices.…”
Section: Related Literaturementioning
confidence: 99%
“…An alternative perspective on the propagation of macroeconomic shocks is found in the literature on endogenous risk in traded asset markets (see [51][52][53] in which asset price volatility limits access to external finance. In their overview of the impacts of financing constraints on macrofinancial dynamics using continuous-time modelling [54] highlighted some further recent analysis of this kind [2,55,56] that focused on the impacts of financial constraints on asset prices.…”
Section: Related Literaturementioning
confidence: 99%