基于TDM模型的个人国债价格预测

T. Kariya, H. Tsuda
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引用次数: 6

摘要

Kariya和Tsuda(1995)使用初始到期日为10年的JG(日本政府)债券月末价格数据,证明了TDM(时间依赖马尔可夫)模型对单个债券价格的预测能力。虽然模型中只有四个参数,每个月大约有80只债券,但该模型很好地预测了1991.1-1992.12期间单个JG债券价格的月度期限结构。事实上,该时期的预测标准误差为0.9日元,而以面值为100日元的JG债券为例,估计标准误差小于0.3日元。我们再次使用利率水平较低时JG债券的月末价格数据检验TDM模型的预测能力,发现即使整体表现良好,当利率波动时,模型也失去了预测能力。观察结果来自于这样一个事实,即用于预测模型中四个时间相关参数的VAR(向量自回归)模型,该模型是基于横截面估计参数建模的,对于几个月的波动利率无法保持稳定的预测能力。值得注意的是,TDM模型是由Kariya和Tsuda(1994)提出的,作为Kariya(1993)制定的单个债券价格的CSM(横断面市场)模型的时间序列扩展。
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Prediction of individual JG bond prices via the TDM model
Kariya and Tsuda (1995) demonstrated the predictive power of TDM (time dependent Markov) model for individual bond prices with the end-of-month price data of JG (Japanese Government) bonds with initial maturities of 10 years. The model predicted well the monthly term structure of the individual JG bond prices for the period 1991.1-1992.12 though there are only four parameters in the model, where there are about 80 bonds for each month. In fact, the prediction standard error for the period is 0.9 yen while the estimation standard error is less than 0.3 yen, where the face value of a JG bond is 100 yen. We again test the prediction power of the TDM model with the end-of-month price data of JG bonds for the period 1993.1-1995.12 when the interest rate level was low, and observe that the model loses the predictive power when interest rates change volatilly even though the overall performance is good. The observation follows from the fact that the VAR (vector autoregressive) model for predicting four time dependent parameters in the model, which is modelled based on the cross-sectionally estimated parameters, fails to keep a stable prediction power for months of volatile interest rates. It is remarked that the TDM model is proposed by Kariya and Tsuda (1994) as a time series extension of the CSM (Cross-Sectional Market) model for individual bond prices Kariya (1993) formulated.
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