应用不同期限结构模型估计南非实际即期利率曲线

Mmakganya Mashoene, M. Doorasamy, R. Rajaram
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引用次数: 1

摘要

本研究的目的是探讨合适的无套利期限结构模型,可能能够拟合南非通货膨胀指数现货利率曲线。该工具在市场上的可交易性相对较低,这就意味着缺乏足够的债券估值/定价数据。定价偏差可能会对政府债务的价值作出过高/过低的预测;因此,需要支付更高的估计利息成本。对这些工具进行适当估值是必须的,因为它们是中期政府筹资/借款和国家预算编制过程的一部分。将Nelson-Siegel(1987)框架下新开发的非线性多因素模型的性能与无套利的Vasicek(1977)模型和线性参数模型进行比较,以评估在短期内预测实际即期汇率曲线时的任何重大偏差。具有恒定参数的模型(即线性参数,三次样条,Nelson-Siegel(1987)和Svensson(1994))给出了完美的拟合,但在较高波动期间,它们被证明会稍微失去拟合能力。因此,可以得出结论,无论是Nelson-Siegel(1987)模型还是Svensson(1994)模型在预测南非实际即期利率曲线上都能得到完美的拟合。然而,为了得出一个可靠的结论,有必要探索这些模型在一段时间的市场和经济条件下的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of different term-structure models to estimate South African real spot rate curve
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.
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