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Estimating the risk premium of swap spreads. Two econometric GARCH-based techniques

机译:估计掉期利差的风险溢价。两种基于GARCH的计量经济学技术

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摘要

Two 'reduced-form' GARCH-M models are used to estimate the German swap spreads from a risk premium point of view. The first model makes use of a parametric GARCH in mean model that has been extended to the case of a vector autoregressive process. The second is a semiparametric model where the conditional variance is formalized as a GARCH process while conditional mean is an arbitrary function of it. It is shown that the monotonic relation implied by both GARCH in mean models between the delta swap spreads and its conditional variance holds for all maturities considered. Not surprisingly, the semiparametric model leads to a better explanation of the swap spreads dynamic than the parametric specification.
机译:从风险溢价的角度,使用两个“简化形式”的GARCH-M模型来估计德国掉期利差。第一个模型在均值模型中使用了参数GARCH,该模型已扩展到矢量自回归过程的情况。第二个是半参数模型,其中条件方差被形式化为GARCH过程,而条件均值是它的任意函数。结果表明,在所有考虑的期限内,三角洲掉期利差及其条件方差之间均值模型中由GARCH所隐含的单调关系成立。毫不奇怪,与参数规范相比,半参数模型可以更好地解释动态掉期利差。

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  • 来源
    《Applied financial economics》 |2004年第2期|p.93-104|共12页
  • 作者

    CAROLINA CASTAGNETTI;

  • 作者单位

    Dipartimento di Economia Politica e Metodi Quantitativi, University of Pavia and Fideuram Capital SpA, via S. Paolo, 10, I-20122, Milano, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 f;
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