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Forecasting Term Structure of HIBOR Swap Rates

Author

Listed:
  • Mei-Mei Kuo
  • Shih-Wen Tai
  • Bing-Huei Lin

Abstract

To investigate yield curve dynamics, researchers have employed a wide variety of models, including the famous Nelson-Siegel level, slope, and curvature factors, and principal components analysis, among others. In this paper, we decompose the term structure of HIBOR (Hong Kong Interbank Offered Rate) swap rates by means of the Nelson-Siegel factors and principal components analysis, and employ autoregressive and vector autoregressive for ex ante forecasting the yield curve by predicting the dynamic factors and components. We compare the results of a broadly empirical prediction with benchmark models such as random walk and yield levels. Further, we survey the predictability in the shape of the swap yield curve for these models. Our results appear to show that the Nelson-Siegel model with autoregressive process on factor changes is the most efficient model for forecasting HIBOR swap yields.

Suggested Citation

  • Mei-Mei Kuo & Shih-Wen Tai & Bing-Huei Lin, 2012. "Forecasting Term Structure of HIBOR Swap Rates," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(4), pages 87-100.
    • Handle: RePEc:ibf:ijbfre:v:6:y:2012:i:4:p:87-100
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    References listed on IDEAS

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    More about this item

    Keywords

    Term Structure; Nelson-Siegel model; Principal Component Analysis; HIBOR Swap Rate;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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