Name
Abstract | ||
|---|---|---|
Classical spline fitting methods for estimating the term structure of interest rates have been criticized for generating highly fluctuating fitting curves for bond price and discount function. In addition, the performance of these methods usually relies heavily on parameter tuning involving human judgement. To overcome these drawbacks, a recently developed cubic L1 spline model is proposed for term structure analysis. Cubic L1 splines preserve the shape of the data, exhibit no extraneous oscillation and have small fitting errors. Cubic L1 splines are tested using a set of real financial data and compared with the widely used B-splines. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.ejor.2006.12.008 | European Journal of Operational Research |
Keywords | DocType | Volume |
B-spline,Finance,Geometric programming,L1 spline,Term structure | Journal | 184 |
Issue | ISSN | Citations |
3 | 0377-2217 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan-Chieh Chiu | 1 | 6 | 1.27 |
| Shu-Cherng Fang | 2 | 1153 | 95.41 |
| John E. Lavery | 3 | 101 | 15.97 |
| Jen-yen Lin | 4 | 0 | 0.34 |
| Yong Wang | 5 | 0 | 0.34 |