Authentication email has already been sent, please check your email box: and activate it as soon as possible.
You can login to My Profile and manage your email alerts.
If you haven’t received the email, please:
|
|
There are 2 papers published in subject: since this site started. |
Results per page: |
Select Subject |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
1. Estimation of Equilibrium Term Structure Models: EKF and UKF Based Approaches | |||
SU Yunpeng,YANG Baochen | |||
Economics 06 December 2016 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:In a general framework, this paper introduces approaches of estimation for equilibrium models of term structure of interest rates based on the extended Kalman filter (hereafter EKF) and unscented Kalman filter (hereafter UKF). This paper treats the estimation of the equilibrium models as a nonlinear filtering problem, and adopts EKF and the UKF respectively to estimate the model via the maximum likelihood method. Using fourteen years of daily Canadian zero-coupon bond price data, we apply the estimator to Vasicek and Cox-Ingersoll-Ross models based on EKF and UKF respectively. It is found that the EKF-based algorithm offers generally the same performance with the UKF-based one in model estimation when the system is linear or weak linear and the Gaussian distribution assumption is satisfied. But when it comes to the strong nonlinear system with a non-Gaussian distribution, the UKF-based algorithm does a better job than the EKF-based one in model estimation. However the UKF-based algorithm is about 50% slower than the EKF-based one in actual computation, though it is regarded in literature that they both have the same order of computational complexity. | |||
TO cite this article:SU Yunpeng,YANG Baochen. Estimation of Equilibrium Term Structure Models: EKF and UKF Based Approaches[OL].[ 6 December 2016] http://en.paper.edu.cn/en_releasepaper/content/4712769 |
2. Industrial Structural Changes of Beijing Economy:A Field of Influence Approach | |||
LIU Xinjian | |||
Economics 10 February 2014 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:As China's capital, Beijing's economic structure has experienced great changes in recent 20 years. Many heavy industrial factories have been move out the city. This paper uses the concept of the field of influence and the method of multifactor and multi-order impact analysis (MMIA) to make a quantitative analyzation to the structural changes. MMIA is applied here as a substitution of SDA. The analysis was based on 10 IO tables from 1987 to 2010 with 29 sectors. The results show that final demands played main role to the share changes for more than two third sectors in Beijing Economy. The changes of intermediate input coefficients made dominant contributions for four sectors which are the sectors of Mining of Metal Ores, Mining of Nonmetal Ores, Power and Water, Commercial Business. The paper also made taxonomy to the 29 sectors according to the main field of influence and sign combinations of influential components. | |||
TO cite this article:LIU Xinjian. Industrial Structural Changes of Beijing Economy:A Field of Influence Approach[OL].[10 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4584508 |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
|
Results per page: |
About Sciencepaper Online | Privacy Policy | Terms & Conditions | Contact Us
© 2003-2012 Sciencepaper Online. unless otherwise stated