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Recursive preferences, learning and large deviations
被引:4
|作者:
Dave, Chetan
[1
]
Tsang, Kwok Ping
[2
]
机构:
[1] New York Univ Abu Dhabi, New York, NY 10276 USA
[2] Virginia Tech, Dept Econ, Blacksburg, VA 24061 USA
关键词:
Recursive preferences;
Adaptive learning;
Large deviations;
Fat tails;
Asset prices;
TEMPORAL BEHAVIOR;
ASSET RETURNS;
RISK-AVERSION;
SUBSTITUTION;
CONSUMPTION;
D O I:
10.1016/j.econlet.2014.06.014
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We estimate the relative contribution of recursive preferences versus adaptive learning in accounting for the tail thickness of price-dividends/rents ratios. We find that both of these sources of volatility account for volatility in liquid (stocks) but not illiquid (housing) assets. (C) 2014 Elsevier B.V. All rights reserved.
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页码:329 / 334
页数:6
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