| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5069414 | Finance Research Letters | 2015 | 7 Pages |
Abstract
We suggest a simple and general approach to fitting the discount curve under no-arbitrage constraints based on a penalized shape-constrained B-spline. The approach accommodates B-splines of any order and fitting both under the L1 and the L2 loss functions. An application to US STRIPS data from 2001-2015 suggests that polynomial splines of order three and four are mandatory to obtain reasonable fits. The choice of the loss function appears to be less relevant.
Keywords
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Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Matthias R. Fengler, Lin-Yee Hin,
