Title page for etd-0518115-155821


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URN etd-0518115-155821
Author Jia-luen Liu
Author's Email Address No Public.
Statistics This thesis had been viewed 5340 times. Download 591 times.
Department Economics
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Model Misspecification, Learning and Real Exchange Rate Dynamics
Date of Defense 2015-06-10
Page Count 46
Keyword
  • Real exchange rate
  • Taylor Rule
  • Model Misspecification
  • Learning
  • Abstract Based on Lewis & Markiewicz (2009), the purpose of this paper is to explore if implied real exchange rate dynamics are similar to these obtained from observed data under a model with misspecification. The benchmarks in this paper are the volatility and correlation between real exchange rates and fundamental variables. Judging from the empirical results for both Taiwan and United State, this paper find that implied real exchange rate volatility and correlation obtained from the model with misspecification are closer to these obtained from actual data than the model with rational expectations and with learning but without misspecification.
    Advisory Committee
  • Shu-Ling Chiang - chair
  • Yu-Hau Hu - co-chair
  • Jyh-Lin Wu - advisor
  • Files
  • etd-0518115-155821.pdf
  • indicate access worldwide
    Date of Submission 2015-06-19

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