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Nonlinearity in target zone models with less than perfect credibility.

机译:目标区域模型中的非线性具有不完美的可信度。

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摘要

This work examines the nonlinear behavior of exchange rates as predicted by target zone models that allow for lack of credibility in the band. Testable implications related to episodic nonlinearity are explored as the expected nonlinear pattern depends on the position of the exchange rate inside the fluctuation band. The analysis is performed for EMS countries over the period of 1987 to 1993.; In this study a new methodology to test for episodic nonlinearity applying Lagrange Multiplier linearity tests is proposed. In the Moving Ending Observation (MEO) analysis the tests are conducted recursively to wider windows of data. At the same time, the Moving Initial Observation (MIO) analysis conducts the same tests recursively by dropping observations thus considering narrower windows. The MEO-MIO approach allows multiple bipartitions of the data set therefore avoiding contamination problems of the results of the linearity tests present in similar studies. Furthermore, in contrast to previous works that required specification of fundamentals, this study tests the model considering a univariate specification of the exchange rate at a daily frequency. In addition, the testing procedure does not impose any ad-hoc nonlinear specification of the exchange rate equation.; A Monte Carlo study to inspect the size and power of the linearity tests was conducted for different sample sizes and nonlinear alternatives. Based on the results from these simulations, it was determined which of those tests would be most appropriate to check the implications of nonlinear behavior in first and second moment for different positions of the exchange rate inside the band. Overall, this study has found no support for the nonlinear behavior of exchange rates as predicted by target zone models.
机译:这项工作检查了目标区域模型所预测的汇率的非线性行为,该模型考虑了该波段缺乏可信度。由于预期的非线性模式取决于波动带内汇率的位置,因此探索了与情节非线性相关的可检验的含义。 1987年至1993年期间对EMS国家进行了分析。在这项研究中,提出了一种使用拉格朗日乘数线性测试来检验情节非线性的新方法。在移动结束观察(MEO)分析中,测试是对更大范围的数据窗口递归进行的。同时,“移动初始观测”(MIO)分析通过删除观测值来递归进行相同的测试,从而考虑了更窄的窗口。 MEO-MIO方法允许对数据集进行多个分割,因此避免了类似研究中存在的线性测试结果的污染问题。此外,与以往要求基本原理的工作相反,本研究在考虑每日汇率的单变量规格的情况下测试了该模型。另外,测试程序没有对汇率方程强加任何特别的非线性规范。针对不同的样本量和非线性替代方案,进行了蒙特卡洛研究,以检查线性测试的大小和功效。根据这些模拟的结果,确定了哪些测试最适合检查第一时刻和第二时刻非线性行为对频带内汇率不同位置的影响。总体而言,该研究未发现目标区域模型所预测的汇率非线性行为的支持。

著录项

  • 作者单位

    University of Illinois at Chicago.;

  • 授予单位 University of Illinois at Chicago.;
  • 学科 Economics General.; Economics Finance.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;财政、金融;
  • 关键词

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