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Forecasting the term structure of interest rates for Turkey: a factor analysis approach

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  • C. Emre Alper
  • K. Kazimov
  • A. Akdemir

Abstract

We perform factor analysis on monthly yield curves estimated by Nelson-Siegel model using the Turkish secondary government securities market data. Monthly yield curves are characterized by three factors which are estimated using nominal volume-weighted average monthly zero-coupon yields. According to the loadings of each factor, we label the factors as level, slope and curvature. Next, we forecast yield curves using AR-GARCH and random walk processes and compare their relative performance. Our results indicate that the three factor model has high explanatory power and that the AR-GARCH specification has superior forecasting power for Turkey.

Suggested Citation

  • C. Emre Alper & K. Kazimov & A. Akdemir, 2007. "Forecasting the term structure of interest rates for Turkey: a factor analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 77-85.
    • Handle: RePEc:taf:apfiec:v:17:y:2007:i:1:p:77-85
    DOI: 10.1080/09603100600606156
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    References listed on IDEAS

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    Cited by:

    1. Burak Saltoglu & M. Ege Yazgan, 2012. "The Role of Regime Shifts in the Term Structure of Interest Rates: Further Evidence from an Emerging Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 48-63, November.
    2. Kaya, Huseyin, 2013. "Forecasting the yield curve and the role of macroeconomic information in Turkey," Economic Modelling, Elsevier, vol. 33(C), pages 1-7.

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