首页> 外文会议>2007年中国国际金融年会 >The Relation between Time-Series and Cross-Sectional Effects of Idiosyncratic Variance on Stock Returns in G7 Countries
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The Relation between Time-Series and Cross-Sectional Effects of Idiosyncratic Variance on Stock Returns in G7 Countries

机译:G7国家中时间序列与异质方差对股票回报的跨部门效应之间的关系

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Recent studies document a close link between a firm's idiosyncratic variance (IV) and its growth options. The valuation of growth options depends crucially on discount rates-a measure of investment opportunities in ICAPM; therefore,IV predicts stock returns possibly because it is a proxy for loadings on systematic risk omitted from CAPM. We test the idea using the G7 countries' data in three ways. First,loadings on stock market variance and average IV account for a large portion-e.g.,80% for the U.S. data over the 1927-2005 period-of variation in average returns on portfolios sorted by IV. Second,the return spread between low IV and high IV stocks performs just as well as the Fama and French (1993) B/M factor in explaining the cross-section of stock returns. Third,lagged returns on high IV stocks correlate negatively with future stock market returns,while the predictive power is negligible for low IV stocks.
机译:最近的研究表明,企业的特质差异(IV)与增长选择之间存在着密切的联系。增长期权的估值主要取决于折现率,折现率是ICAPM中投资机会的一种衡量标准;因此,IV可能会预测库存回报,因为它可以替代CAPM遗漏的系统性风险负荷。我们使用G7国家/地区的数据以三种方式测试这一想法。首先,股票市场方差和平均IV的负荷占很大一部分,例如在1927-2005年期间的美国数据中占80%-按IV排序的投资组合的平均回报率变化。其次,在解释股票收益的横截面时,低IV股票和高IV股票之间的收益差表现与Fama和French(1993)的B / M因子一样好。第三,高IV股票的滞后收益与未来股票市场收益负相关,而低IV股票的预测能力可忽略不计。

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