回报焦虑

IF 1.7 3区 经济学 Q3 BUSINESS, FINANCE Journal of Behavioral Finance Pub Date : 2023-09-13 DOI:10.1080/15427560.2023.2257344
Uta Pigorsch, Sebastian Schäfer
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引用次数: 0

摘要

摘要本文提供了风险厌恶型投资者对股票投资产生焦虑的实证证据,这些股票的已实现亏损揭示了风险的下行风险。与短期反转相反,在凸风险厌恶的支持下,后者股票在随后时期的收益率明显较低。我们的发现是基于一种新的时变风险厌恶度量,但也可以在使用一种完善的风险厌恶度量时观察到。此外,焦虑在样本外测试中预测了横断面回报,这表明风险厌恶型投资者的偏好驱动了经验风险溢价。关键词:异常资产定价因素横断面风险规避jel分类:G12G41G17C31披露声明作者未报告潜在利益冲突。注1我们没有考虑众所周知的自由现金流模型的会计隐含价值,因为我们既没有测量预期的公司价值,也没有测量预期的现金流量,例如Francis等人(Citation2000)。回报的确切定义不会改变以下考虑因素,并且可以与股息互换。我们将我们的发现称为异常现象,因为观察到的投资者的行为可能是非理性的,即,尽管具有高度的风险厌恶情绪,但没有明显的理由不投资于先前具有负回报的资产。由于它产生了很高的样本外回报可预测性,导致几十年来非常强劲的多空回报,这是一个普遍接受的异常特征;参见,例如侯等人(Citation2015)请注意,为简洁起见,并基于同质投资者的假设,我们省略了投资者的下标数据可从他们的网站上下载:www.openassetpricing.com.5,结果可向作者索取聚类标准误差和报告的t统计量是通过对rt+1进行回归得到的,rt+1是对适当选择的虚拟变量的规范,表明低(高)风险厌恶和正(负)先前的回报以及它们之间的相互作用有关MPU和FS的数据可在https://www.policyuncertainty.com.8上公开获得,有关各自因素定义的数据和详细信息可在https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html上获得
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Anxiety in Returns
AbstractWe provide empirical evidence that risk-averse investors become anxious about investments in stocks whose realized losses reveal the downside of risk. Contrary to short-term reversal and in support of convex risk aversion, the latter stocks yield significantly lower returns in the subsequent period. Our findings are based on a novel measure of time-varying risk aversion, but can also be observed when using a well-established measure of risk aversion. Moreover, anxiety predicts cross-sectional returns in out-of-sample tests, suggesting that risk-averse investors’ preferences drive empirical risk premia.Keywords: AnomalyAsset Pricing FactorsCross SectionRisk AversionJEL CLASSIFICATION: G12G41G17C31 Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 We do not consider the accounting-implied value of the well-known free cash flow model, as we neither measure expected firm values nor expected cash flows empirically, as, e.g., in Francis et al. (Citation2000). The exact definition of a payback does not change the following considerations and is interchangeable with, for instance, dividends2 We refer to our finding as an anomaly, as the observed investor’s behavior is likely to be irrational, i.e., there is no apparent reason not to invest in assets with a preceding negative return despite having a high level of risk aversion, and as it yields high out-of-sample return predictability that results in remarkably strong long-short returns over multiple decades, which is a commonly accepted characteristic of an anomaly; see, for instance Hou et al. (Citation2015).3 Note that for brevity and based on our assumption of homogeneous investors we omit a subscript for the investor.4 The data can be downloaded from their website: www.openassetpricing.com.5 The results are available from the authors upon request.6 The clustered standard errors and reported t-statistics are obtained by regressing rt+1,i on appropriately chosen specifications of dummy variables indicating low (high) risk aversion and positive (negative) preceding returns as well as interactions thereof.7 Data on MPU and FS is publicly available on https://www.policyuncertainty.com.8 The data and details on the definitions of the respective factors can be obtained from https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html
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来源期刊
CiteScore
4.60
自引率
10.50%
发文量
34
期刊介绍: In Journal of Behavioral Finance , leaders in many fields are brought together to address the implications of current work on individual and group emotion, cognition, and action for the behavior of investment markets. They include specialists in personality, social, and clinical psychology; psychiatry; organizational behavior; accounting; marketing; sociology; anthropology; behavioral economics; finance; and the multidisciplinary study of judgment and decision making. The journal will foster debate among groups who have keen insights into the behavioral patterns of markets but have not historically published in the more traditional financial and economic journals. Further, it will stimulate new interdisciplinary research and theory that will build a body of knowledge about the psychological influences on investment market fluctuations. The most obvious benefit will be a new understanding of investment markets that can greatly improve investment decision making. Another benefit will be the opportunity for behavioral scientists to expand the scope of their studies via the use of the enormous databases that document behavior in investment markets.
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