DocumentCode
442009
Title
Modelling risk premium of repo interest rate in the SSE
Author
Fan, Long-Zhen
Author_Institution
Sch. of Manage., Fudan Univ., Shanghai, China
Volume
6
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
3463
Abstract
With weekly data of repo rates in the SSE, it is found that the expectations hypothesis fails to explain the repo rates, and risk premiums are significant and time-varying. One-factor and two-factor Guassian essential affine models are estimated to model the time-varying risk premiums, and the likelihood ratio test shows that the two-factor model has no significant improvement over the one-factor model. Although one-factor Guassian essential affine model fits the risk premiums very well, the model doesn´t fit the means and standard deviations of the repo rates.
Keywords
Gaussian processes; economic indicators; maximum likelihood estimation; modelling; risk analysis; stock markets; SSE; Shanghai Stock Exchange; likelihood ratio test; one-factor Guassian essential affine model; repo interest rate; time-varying risk premium modelling; two-factor model Guassian essential affine model; Cybernetics; Economic indicators; Instruments; Machine learning; Macroeconomics; Pricing; Risk management; Security; Stock markets; Testing; Interest rate; Kalman filter; affine model; risk premium;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527541
Filename
1527541
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