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The Entropic Linkage between Equity and Bond Market Dynamics

机译:股票与债券市场动态之间的熵联系

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An alternative derivation of the yield curve based on entropy or the loss of information as it is communicated through time is introduced. Given this focus on entropy growth in communication the Shannon entropy will be utilized. Additionally, Shannon entropy’s close relationship to the Kullback–Leibler divergence is used to provide a more precise understanding of this new yield curve. The derivation of the entropic yield curve is completed with the use of the Burnashev reliability function which serves as a weighting between the true and error distributions. The deep connections between the entropic yield curve and the popular Nelson–Siegel specification are also examined. Finally, this entropically derived yield curve is used to provide an estimate of the economy’s implied information processing ratio. This information theoretic ratio offers a new causal link between bond and equity markets, and is a valuable new tool for the modeling and prediction of stock market behavior.
机译:引入了基于熵或随着时间传递的信息损失而产生的收益率曲线的另一种推导方法。鉴于此重点关注通信中的熵增长,将利用香农熵。此外,香农熵与Kullback-Leibler散度的密切关系被用来更精确地理解这一新的收益率曲线。熵屈服曲线的推导通过使用Burnashev可靠性函数完成,该函数充当真实分布和误差分布之间的权重。还检查了熵屈服曲线与流行的Nelson-Siegel规范之间的深层联系。最后,该熵导出的收益率曲线用于估算经济中隐含的信息处理比率。这种信息理论比率提供了债券市场和股票市场之间的新因果关系,并且是用于建模和预测股票市场行为的有价值的新工具。

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