Cookies?
Library Header Image
LSE Research Online LSE Library Services

Dynamic equilibrium with rare events and heterogeneous epstein-zin investors

Chabakauri, Georgy (2015) Dynamic equilibrium with rare events and heterogeneous epstein-zin investors. Systemic Risk Centre Discussion Papers (35). Systemic Risk Centre, The London School of Economics and Political Science, London, UK.

[img]
Preview
PDF - Published Version
Download (1MB) | Preview

Abstract

We consider a general equilibrium Lucas (1978) economy with one consumption good and two heterogeneous Epstein-Zin investors. The output is subject to rare large drops or, more generally, can have non-lognormal distribution with higher cumulants. The heterogeneity in preferences generates excess stock return volatilities, procyclical price-dividend ratios and interest rates, and countercyclical market prices of risk when the elasticity of intertemporal substitution (EIS) is greater than one. Moreover, the latter results cannot be jointly replicated in a model where investors have EIS ≤ 1 or CRRA preferences. We propose new approach for deriving equilibrium, and extend the analysis to the case of heterogeneous beliefs about probabilities of rare events.

Item Type: Monograph (Discussion Paper)
Official URL: http://www.systemicrisk.ac.uk
Additional Information: © 2015 The Author
Divisions: Systemic Risk Centre
Subjects: H Social Sciences > HB Economic Theory
JEL classification: D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D53 - Financial Markets
G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions
G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
Date Deposited: 19 May 2015 11:01
Last Modified: 15 Sep 2023 23:35
Projects: ES/K002309/1
Funders: Economic and Social Research Council
URI: http://eprints.lse.ac.uk/id/eprint/62003

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics