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Wavelet modeling and forecasting and its application in the Chinese monetary multiplier

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Abstract

In this paper, a time-varying AR model is constructed by using the vector-space algorithm of compactly-supported biorthonormal wavelet transform. It is developed for forecasting narrow monetary multipliers in China.

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References

  1. Daubechies I. Orthogonal base of compactly support wavelet[J].Comm Pure Appl Math, 1988,41(7): 909–996.

    MATH  MathSciNet  Google Scholar 

  2. Cohen A, Daubechies I, Feauveau J C. Biorthogonal bases of compactly supported wavelet [J].Comm Pure Appl Math, 1992,45(6): 485–560.

    MATH  MathSciNet  Google Scholar 

  3. Jia Peizhang. Vector-space algorithm of orthonormal wavelet transform [J].System Science and Mathematics, 1995,15(1): 75–82. (in Chinese)

    Google Scholar 

  4. Zhan Kai. Wavelet transform and its application in the time-varying system modeling [D]. Master's Degree Thesis. Beijing: Institute of Systems Science of Academia Sinica, 1997. (in Chinese)

    Google Scholar 

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Communicated by Chien Weizang

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Bin, L., Qinxi, D. Wavelet modeling and forecasting and its application in the Chinese monetary multiplier. Appl Math Mech 20, 917–923 (1999). https://doi.org/10.1007/BF02452491

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  • DOI: https://doi.org/10.1007/BF02452491

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