This article incorporates a time-varying severity of disasters into the hypothesis proposed by Rietz (1988) and Barro (2006) that risk premia result from the possibility of rare large disasters. During a disaster an asset's fundamental value falls by a time-varying amount. This in turn generates time-varying risk premia and, thus, volatile asset prices and return predictability. Using the recent technique of linearity-generating processes, the model is tractable and all prices are exactly solved in closed form. In this article's framework, the following empirical regularities can be understood quantitatively: (i) equity premium puzzle; (ii) risk-free rate puzzle; (iii) excess volatility puzzle; (iv) predictability of aggregate stock market returns with price-dividend ratios; (v) often greater explanatory power of characteristics than covariances for asset returns; (vi) upward-sloping nominal yield curve; (vii) predictability of future bond excess returns and long-term rates via the slope of the yield curve; (viii) corporate bond spread puzzle; (ix) high price of deep out-of-the-money puts; and (x) high put prices being followed by high stock returns. The calibration passes a variance bound test, as normal-times market volatility is consistent with the wide dispersion of disaster outcomes in the historical record. The model extends to a setting with many factors and to Epstein-Zin preferences.
Description
Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance
%0 Journal Article
%1 Gabaix:QJE:2012
%A Gabaix, Xavier
%D 2012
%J The Quarterly Journal of Economics
%K disaster equity-premium puzzle
%N 2
%P 645-700
%R 10.1093/qje/qjs001
%T Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance
%U http://qje.oxfordjournals.org/content/127/2/645.abstract
%V 127
%X This article incorporates a time-varying severity of disasters into the hypothesis proposed by Rietz (1988) and Barro (2006) that risk premia result from the possibility of rare large disasters. During a disaster an asset's fundamental value falls by a time-varying amount. This in turn generates time-varying risk premia and, thus, volatile asset prices and return predictability. Using the recent technique of linearity-generating processes, the model is tractable and all prices are exactly solved in closed form. In this article's framework, the following empirical regularities can be understood quantitatively: (i) equity premium puzzle; (ii) risk-free rate puzzle; (iii) excess volatility puzzle; (iv) predictability of aggregate stock market returns with price-dividend ratios; (v) often greater explanatory power of characteristics than covariances for asset returns; (vi) upward-sloping nominal yield curve; (vii) predictability of future bond excess returns and long-term rates via the slope of the yield curve; (viii) corporate bond spread puzzle; (ix) high price of deep out-of-the-money puts; and (x) high put prices being followed by high stock returns. The calibration passes a variance bound test, as normal-times market volatility is consistent with the wide dispersion of disaster outcomes in the historical record. The model extends to a setting with many factors and to Epstein-Zin preferences.
@article{Gabaix:QJE:2012,
abstract = {This article incorporates a time-varying severity of disasters into the hypothesis proposed by Rietz (1988) and Barro (2006) that risk premia result from the possibility of rare large disasters. During a disaster an asset's fundamental value falls by a time-varying amount. This in turn generates time-varying risk premia and, thus, volatile asset prices and return predictability. Using the recent technique of linearity-generating processes, the model is tractable and all prices are exactly solved in closed form. In this article's framework, the following empirical regularities can be understood quantitatively: (i) equity premium puzzle; (ii) risk-free rate puzzle; (iii) excess volatility puzzle; (iv) predictability of aggregate stock market returns with price-dividend ratios; (v) often greater explanatory power of characteristics than covariances for asset returns; (vi) upward-sloping nominal yield curve; (vii) predictability of future bond excess returns and long-term rates via the slope of the yield curve; (viii) corporate bond spread puzzle; (ix) high price of deep out-of-the-money puts; and (x) high put prices being followed by high stock returns. The calibration passes a variance bound test, as normal-times market volatility is consistent with the wide dispersion of disaster outcomes in the historical record. The model extends to a setting with many factors and to Epstein-Zin preferences.},
added-at = {2014-10-12T01:26:46.000+0200},
author = {Gabaix, Xavier},
biburl = {https://www.bibsonomy.org/bibtex/281428cbe548a5b114b93d45c24df0e7a/fcqms},
description = {Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance},
doi = {10.1093/qje/qjs001},
eprint = {http://qje.oxfordjournals.org/content/127/2/645.full.pdf+html},
interhash = {fcce77b7bbb59c2ffe0b228e3858d050},
intrahash = {81428cbe548a5b114b93d45c24df0e7a},
journal = {The Quarterly Journal of Economics},
keywords = {disaster equity-premium puzzle},
number = 2,
pages = {645-700},
timestamp = {2014-10-13T22:53:31.000+0200},
title = {Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance},
url = {http://qje.oxfordjournals.org/content/127/2/645.abstract},
volume = 127,
year = 2012
}