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The application of different term-structure models to estimate South African real spot rate curve

Author

Listed:
  • Mmakganya Mashoene

    (Department of Finance, University of KwaZulu-Natal, Durban, South Africa)

  • Mishelle Doorasamy

    (Department of Accounting, University of KwaZulu-Natal, Durban, South Africa)

  • Rajendra Rajaram

    (Department of Management Accounting, University of KwaZulu-Natal, Durban, South Africa)

Abstract

The purpose of this study is to investigate the suitable arbitrage-free term-structure model that might be able to fit the South African inflation-indexed spot-rate curve. The instrument has relatively less tradability in the market, which then translates into a lack of adequate data for bond valuation/pricing. Pricing deviations might give inflated/deflated projections on the value of government debt; consequently, higher estimated interest cost to be paid. A proper valuation of these instruments is mandatory as they form part of government funding/borrowing and the country’s budgeting processes in the medium term. The performance of newly developed non-linear multifactor models that follows the Nelson-Siegel (1987) framework was compared to the arbitrage-free Vasicek (1977) model and linear parametric models to assess any significant deviations in forecasting the real spot-rate curve over a short period. Models with constant parameters (i.e. linear parametric, cubic splines, Nelson-Siegel (1987) and Svensson (1994)) gave a perfect fit, they proved to marginally lose fitting capabilities during periods of higher volatility. Therefore, it could be concluded that the application of either Nelson-Siegel (1987) model or Svensson (1994) model on forecasting South African real spot-rate curve gave a perfect fit. However, for a solid conclusion to be derived, it is imperative to explore the performance of these models over a period of stressed market and economic conditions.

Suggested Citation

  • Mmakganya Mashoene & Mishelle Doorasamy & Rajendra Rajaram, 2021. "The application of different term-structure models to estimate South African real spot rate curve," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(3), pages 21-36, July.
    • Handle: RePEc:rbs:ijfbss:v:10:y:2021:i:3:p:21-36
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    References listed on IDEAS

    as
    1. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2019. "Inflation in Emerging and Developing Economies," World Bank Publications - Books, The World Bank Group, number 30657, December.
    2. Boucinha, Miguel & Burlon, Lorenzo & Kapp, Daniel, 2020. "Negative rates and the transmission of monetary policy," Economic Bulletin Articles, European Central Bank, vol. 3.
    3. Shannon Bold & Laurence Harris, 2018. "Identifying monetary policy rules in South Africa with inflation expectations and unemployment," WIDER Working Paper Series wp-2018-43, World Institute for Development Economic Research (UNU-WIDER).
    4. Kentaro Kikuchi & Kohei Shintani, 2012. "Comparative Analysis of Zero Coupon Yield Curve Estimation Methods Using JGB Price Data," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 30, pages 75-122, November.
    5. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    6. Svensson, L.E.O., 1994. "Estimating and Interpreting Foreward Interest Rates: Sweden 1992-1994," Papers 579, Stockholm - International Economic Studies.
    7. Juan Angel Garcia & Adrian van Rixtel, 2007. "Inflation-linked bonds from a central bank perspective," Occasional Papers 0705, Banco de España;Occasional Papers Homepage.
    8. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    9. Eyollan Naidoo & Mukelani Nkuna & Daan Steenkamp, 2020. "Developments in debt issuance costs of South African banks," Working Papers 10157, South African Reserve Bank.
    10. Maria Teresa Medeiros Garcia & Vítor Hugo Ferreira Carvalho, 2019. "A cross-sectional application of the Nelson-Siegel-Svensson model to several negative yield cases," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1582319-158, January.
    11. Victor Curtis Lartey & Yao Li, 2018. "Zero-Coupon and Forward Yield Curves for Government of Ghana Bonds," SAGE Open, , vol. 8(3), pages 21582440188, September.
    12. Van Rixtel, Adrian & Garcí­a, Juan Angel, 2007. "Inflation-linked bonds from a Central Bank perspective," Occasional Paper Series 62, European Central Bank.
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