Research on Treasury Bond Futures Trading Strategy Based on ARIMA Model
Abstract
This paper uses the ARIMA model to analyze the yield to maturity of China’s 10-year Treasury Bonds, and uses this yield rate to establish an investment strategy for 10-year Treasury Bond Futures (continuous in the current quarter). And then the strategy was back-tested in periods. In this paper, firstly, based on the ARIMA model, the full-sample fitting of the 10-year Treasury Bond yield to maturity series is carried out, and the fitting effect is confirmed. Then, the signal indicators and position sequence are established by comparing the iterative predicted value and the observed value. According to this method, the investment process of Treasury Bond Futures is simulated, and the return change of the strategy is quantified. Back-testing shows that this strategy tends to perform better in the volatile and bear market periods of the bond market but to underperform in the bull market period.
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Dong C. Bond quantitative trading operation method and evaluation using homeopathic indicators (in Chinese). China Bond 2019; (6).
Ding L, Chen M, Zou P. The empirical research on the price discovery function of Treasury Bond Future in China (in Chinese). Chemical Engineering Transactions 2015; (46).
Chen J. Bond pricing and yield curve modeling: A structural approach (in Chinese). Quantitative Finance 2020; (20).
Lu L. Combinational stock price forecasting based on multiple regression and technical analysis. Journal of Shanghai Institute of Technology (Natural Science) 2014; 14(3): 274–276.
Koijen RSJ, Lustig H, Stijn VN. The cross-section and time-series of stock and bond returns. Journal of Monetary Economics 2017; 88: 50–69.
Wang J, Tang S. Time series classification based on arima and adaboost. MATEC Web of Conferences 2020; 309(2): 03024.
DOI: http://dx.doi.org/10.18686/fm.v5i3.2596
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