DocumentCode :
1730929
Title :
Prediction of individual JG bond prices via the TDM model
Author :
Kariya, Takeaki ; Tsuda, Hiroshi
Author_Institution :
Inst. of Econ. Res., Hitotsubashi Univ., Tokyo, Japan
fYear :
1996
Firstpage :
183
Lastpage :
189
Abstract :
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
Keywords :
Markov processes; financial data processing; parameter estimation; prediction theory; securities trading; time series; Japanese Government bonds; TDM model; cross-sectionally estimated parameters; end-of-month price data; estimation standard error; individual JG bond price prediction; individual bond prices; interest rate level; monthly term structure; prediction standard error; time dependent Markov model; volatile interest rates; Bonding; Economic forecasting; Economic indicators; Estimation error; Government; Power generation economics; Predictive models; Reactive power; Testing; Time division multiplexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering, 1996., Proceedings of the IEEE/IAFE 1996 Conference on
Conference_Location :
New York City, NY
Print_ISBN :
0-7803-3236-9
Type :
conf
DOI :
10.1109/CIFER.1996.501843
Filename :
501843
Link To Document :
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