首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach
  • 本地全文:下载
  • 作者:Wojciech Charemza ; Carlos Díaz ; Svetlana Makarova
  • 期刊名称:Discussion Papers / University of Leicester, Department of Economics
  • 出版年度:2015
  • 出版社:Leicester
  • 摘要:The paper introduces the concept of conditional inflation forecast uncertainty. It is proposed that the joint and conditional distributions of the bivariate forecast uncertainty can be derived from estimation unconditional distributions of these uncertainties and applying appropriate copula function. Empirical results have been obtained for Canada and US. Term structure has been evaluated in the form of unconditional and conditional probabilities of hitting the inflation range of ±1% around the Canadian inflation target. The paper suggests a new measure of inflation forecast uncertainty that accounts for possible inter-country dependence. It is shown that evaluation of targeting precision can be effectively improved with the use of ex-ante formulated conditional and unconditional probabilities of inflation being within the pre-defined band around the target.
国家哲学社会科学文献中心版权所有