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Modeling marked point processes with an application to currency exchange rates.

机译:通过对货币汇率的应用来对标记的流程进行建模。

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摘要

We present a model for marked point processes with time-dependent internal or external covariates. The goal is to estimate the log-intensity of the jumps in the point process via maximum likelihood estimation. We show that under certain boundary conditions, the problem fits into the general framework of concave extended linear modeling developed by Huang (2000) and the extension of this framework by Stone and Huang (2000) to handle free knot splines. An adaptive methodology for the empirical application of the framework to jump processes is implemented in C++ and used to analyze high frequency data on currency exchange rates. We test the hypothesis of time endogeneity between exchange rate movements presented by theoretical microstructure information models and study volatility patterns attributed to calendar effects, macroeconomics news announcements, and GARCH effects. For the purpose of asset pricing, we also attempt to build upon the theoretical foundations for the convergence of jump processes to diffusions.
机译:我们提出了一个带有时间依赖的内部或外部协变量的标记点过程模型。目的是通过最大似然估计来估计点过程中跳跃的对数强度。我们表明,在某些边界条件下,该问题适合于Huang(2000)开发的凹面扩展线性建模的一般框架,以及Stone和Huang(2000)对该框架的扩展以处理自由结样条。在C ++中实现了一种用于框架跳变过程的经验应用的自适应方法,并用于分析有关汇率的高频数据。我们测试理论微观结构信息模型提出的汇率变动之间的时间内生性假说,并研究归因于日历效应,宏观经济新闻公告和GARCH效应的波动率模式。出于资产定价的目的,我们还尝试在理论基础上建立跳跃过程到扩散过程的收敛性。

著录项

  • 作者

    Li, Wei.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Statistics.;Economics Finance.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 93 p.
  • 总页数 93
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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