IDEAS home Printed from https://ideas.repec.org/a/bok/journl/v22y2016i1p35-62.html
   My bibliography  Save this article

Inference and Dynamic Analyses of Non-stationarity of Real Interest Rate (in Korean)

Author

Listed:
  • Yun-Yeong kim

    (Department of International Trade, Dankook University)

Abstract

This paper conducts the inference and dynamic analyses on the nonstationary trend of real interest rate considering limitedness of current approaches; i.e., 'ex post real interest rate's endogeneity with inflation', 'cointegretaion does not necessarily mean the stationarity of real interest rate'. For this, we follow Kim(2014)'s approach who introduced a concept of I(1) stochastic bubble trend in an I(1) asset price that is different from conventional I(d, d>1) rational bubble. According to the empirical analyses using Korean data for the terms of before and after Asian financial crises, we can not find I(1) real interest rate trend for the term of before Asian financial crisis, while we can find I(1) real interest rate trend or the term of after Asian financial crises with 5% significance level. To evaluate how monetary policy affects to the real interest rate trend, we conducted a generalized impulse response analyses within a VAR model of call rate (or real industrial production), real interest rate and inflation trend. From this work, we found that the decrease of call rate may invoke the decrease of real interest rate trend and, in turn, the increase of real industrial production. Finally, the nominal interest rate does not significantly respond to the inflation impulse while it is significantly affected by the real interest rate impulse.

Suggested Citation

  • Yun-Yeong kim, 2016. "Inference and Dynamic Analyses of Non-stationarity of Real Interest Rate (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 22(1), pages 35-62, March.
  • Handle: RePEc:bok:journl:v:22:y:2016:i:1:p:35-62
    as

    Download full text from publisher

    File URL: https://www.bok.or.kr/ucms/cmmn/file/fileDown.do?menuNo=600354&atchFileId=ENG_0000000001018153&fileSn=1
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Nominal interest rate; Real interest rate trend; Endogeneity; Stochastic bubble trend; Monetary policy;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bok:journl:v:22:y:2016:i:1:p:35-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Economic Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/imbokkr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.