霍克斯模型的规格测试

F. Gresnigt, E. Kole, P. Franses
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引用次数: 7

摘要

基于拉格朗日乘数(LM)原理,提出了霍克斯模型的各种规格测试。霍克斯模型可以用来模拟金融市场中极端事件的发生。我们的具体测试重点是将单变量模型扩展到多变量模型,也就是说,我们检查市场中极端事件之间是否存在条件依赖。仿真表明,该测试具有良好的尺寸和功率,特别是在实践中通常遇到的样本量。应用对美国股票、债券和汇率数据的依赖性规范检验,我们发现了区段内和区段之间存在交叉激励的有力证据。因此,我们建议扩展单变量Hawkes模型以解释交叉触发现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Specification Testing in Hawkes Models
We propose various specification tests for Hawkes models based on the Lagrange Multiplier (LM) principle. Hawkes models can be used to model the occurrence of extreme events in financial markets. Our specific testing focus is on extending a univariate model to a multivariate model, that is, we examine whether there is a conditional dependence between extreme events in markets. Simulations show that the test has good size and power, in particular for sample sizes that are typically encountered in practice. Applying the specification test for dependence to US stocks, bonds and exchange rate data, we find strong evidence for cross-excitation within segments as well as between segments. Therefore, we recommend that univariate Hawkes models be extended to account for the cross-triggering phenomenon.
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