scholarly journals Asset Pricing Tests with Long Run Risks in Consumption Growth

Author(s):  
George M. Constantinides ◽  
Anisha Ghosh
2011 ◽  
Vol 1 (1) ◽  
pp. 96-136 ◽  
Author(s):  
George M. Constantinides ◽  
Anisha Ghosh

2014 ◽  
Vol 104 (9) ◽  
pp. 2680-2697 ◽  
Author(s):  
Larry G. Epstein ◽  
Emmanuel Farhi ◽  
Tomasz Strzalecki

Though risk aversion and the elasticity of intertemporal substitution have been the subjects of careful scrutiny, the long-run risks literature as well as the broader literature using recursive utility to address asset pricing puzzles has ignored the full implications of their parameter specifications. Recursive utility implies that the temporal resolution of risk matters and a quantitative assessment thereof should be part of the calibration process. This paper gives a sense of the magnitudes of implied timing premia. Its objective is to inject temporal resolution of risk into the discussion of the quantitative properties of long-run risks and related models. (JEL D81, G11, G12)


2009 ◽  
Vol 14 (3) ◽  
pp. 409-449 ◽  
Author(s):  
Zhiguang (Gerald) Wang ◽  
Prasad V. Bidarkota

2018 ◽  
Vol 73 (3) ◽  
pp. 1061-1111 ◽  
Author(s):  
WALTER POHL ◽  
KARL SCHMEDDERS ◽  
OLE WILMS

2017 ◽  
Vol 9 (1) ◽  
pp. 1-39 ◽  
Author(s):  
Emi Nakamura ◽  
Dmitriy Sergeyev ◽  
Jón Steinsson

We provide new estimates of the importance of growth-rate shocks and uncertainty shocks for developed countries. The shocks we estimate are large and correspond to well-known macroeconomic episodes such as the Great Moderation and the productivity slowdown. We compare our results to earlier estimates of “ long-run risks” and assess the implications for asset pricing. Our estimates yield greater return predictability and a more volatile price-dividend ratio. In addition, we can explain a substantial fraction of cross-country variation in the equity premium. An advantage of our approach, based on macroeconomic data alone, is that the parameter estimates cannot be viewed as backward engineered to fit asset pricing data. We provide intuition for our results using the recently developed framework of shock-exposure and shock-price elasticities. (JEL E21, E32, E44, G12, G35)


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