首页> 外文OA文献 >Low-Frequency Movements in Stock Prices: A State-Space Decomposition
【2h】

Low-Frequency Movements in Stock Prices: A State-Space Decomposition

机译:股票价格的低频运动:一种状态空间分解

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Previous analyses have concluded that expectations of future excess stock returns rather than future real dividend growth or real interest rates are responsible for most of the volatility in stock prices. In this paper, we employ a state-space model to model the dynamics of the log price-dividend ratio along with long-term and short-term interest rates, real dividend growth, and inflation. The advantage of the state-space approach is that we can parsimoniously model the low-frequency movements present in the data. We find that, if one allows permanent changes, even though very small, in real dividend growth, real interest rates, and inflation-but not excess stock returns-then expectations of real dividend growth and real interest rates become significant contributors to fluctuations in stock prices. However, we also show that stock price decompositions are very sensitive to assumptions about which unobserved market fundamentals have a permanent component. When we allow excess stock returns to have a permanent component but not real dividend growth, excess stock returns become an important contributor to stock price movements, whereas real dividend growth does not. Unfortunately, the data is not particularly informative about which of these alternative models is more likely. © 2002 President and Fellows of Harvard College and the Massachusetts Institute of Technology.
机译:以前的分析已经得出结论,对未来股票回报的预期而不是未来的实际股息增长或实际利率负责股价的大部分波动。在本文中,我们采用了一个国家空间模型来模拟日志价格股息率的动态,以及长期和短期利率,实际股息增长和通货膨胀。状态空间方法的优点是我们可以解开数据中存在的低频运动。我们发现,如果一个人允许永久性变化,即使非常小,实际股息增长,实际利率和通货膨胀 - 但不超过股票回报 - 实际股息增长和实际利率的预期成为股票波动的重要贡献者价格。但是,我们还表明,股票价格分解对未观察到的市场基本面具有永久性组成部分的假设非常敏感。当我们允许多余的股票回报有永久性部件但不是实际股息的增长时,过度的股票回报成为股价走势的重要贡献者,而实际股息增长则没有。不幸的是,数据并不特别提供了这些替代模型更有可能的影响。 ©2002哈佛大学总裁兼研究员和马萨诸塞州理工学院。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号