信心风险与资产价格

Ravi Bansal, Ivan Shaliastovich
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引用次数: 86

摘要

数据显示,资产价格以18个月左右的频率出现大幅负波动。这些大幅波动令人费解,因为它们并不同时发生,也没有在实体经济方面出现任何重大变动。另一方面,我们发现,衡量投资者对未来增长的不确定性,对回报的大幅变动具有重要的信息。我们建立了一个基于递归效用的模型,在这个模型中,投资者使用信号的横截面来了解潜在的预期增长。与数据一样,投资者增长预期的不确定性(信心指标)是随时间变化的,而且会受到大幅波动的影响。在给定投资者信息的情况下,信心指标的波动影响未来消费的分布,从而影响均衡资产价格和风险溢价。在校准中,我们表明该模型可以解释数据中的大回报移动证据、资产价格分布、超额回报的可预测性和其他关键的资产市场事实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Confidence Risk and Asset Prices
In the data, asset prices exhibit large negative moves at frequencies of about 18 months. These large moves are puzzling as they do not coincide, nor are they followed by any significant moves in the real side of the economy. On the other hand, we find that measures of investor's uncertainty about their estimate of future growth have significant information about large moves in returns. We set-up a recursive-utility based model in which investors learn about the latent expected growth using the cross-section of signals. The uncertainty (confidence measure) about investor's growth expectations, as in the data, is time-varying and subject to large moves. The fluctuations in confidence measure affect the distribution of future consumption given investors' information, and consequently influence equilibrium asset prices and risk premia. In calibrations we show that the model can account for the large return move evidence in the data, distribution of asset prices, predictability of excess returns and other key asset market facts.
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