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Volatility and Long Term Relations in Equity Markets: Empirical Evidence from Germany, Switzerland, and the UK

机译:股票市场的波动性和长期关系:来自德国,瑞士和英国的经验证据

摘要

The aim of this paper is twofold. First it aims to compare several GARCH family models in order to model and forecast the conditional variance of German, Swiss, and UK stock market indexes. The main result is that all GARCH family models show evidence of asymmetric effects. Based on the “out of sample” forecasts I can say that for each market considered there is a model that will lead to better volatility forecasts. Secondly a long run relation between these markets was investigated using the cointegration methodology. Cointegration tests show that DAX30, FTSE100, and SMI indexes move together in the long term. The VECM model indicates a positive long run relation among these indexes, while the error correction terms indicate that the Swiss market is the initial receptor of external shocks. One of the main findings of this analysis is that although the UK, Switzerland and Germany do not share a common currency, the diversification benefits of investing in these countries could be very low given that their stock markets seem to move together in the lung term.
机译:本文的目的是双重的。首先,它旨在比较几种GARCH族模型,以便对德国,瑞士和英国股市指数的条件方差进行建模和预测。主要结果是所有GARCH族模型都显示出不对称效应的证据。基于“样本外”预测,我可以说,对于每个考虑的市场,都有一个模型可以导致更好的波动率预测。其次,使用协整方法研究了这些市场之间的长期关系。协整测试表明,DAX30,FTSE100和SMI索引可以长期一起移动。 VECM模型表明这些指数之间存在长期正相关关系,而误差校正术语表明瑞士市场是外部冲击的最初接受者。该分析的主要发现之一是,尽管英国,瑞士和德国没有共同货币,但鉴于这些国家的股票市场似乎在长期波动,因此在这些国家投资的多元化收益可能非常低。

著录项

  • 作者

    Guidi Francesco;

  • 作者单位
  • 年度 2008
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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