A Simple and General Approach to Fitting the Discount Curve Under No-Arbitrage Constraints

A Simple and General Approach to Fitting the Discount Curve Under No-Arbitrage Constraints
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无套利约束下拟合贴现曲线的简单通用方法

DOI:
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发表时间:
2014
期刊:
影响因子:
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通讯作者:
L. Hin
L. Hin
中科院分区:
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作者:
Matthias R. Fengler;L. Hin

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我们建议采用一种简单而通用的方法,在基于惩罚形状约束 B 样条的无套利约束下拟合贴现曲线。该方法适用于任何阶数的 B 样条并在 L1 和 L2 损失函数下进行拟合。对 2001 年至 2015 年美国 STRIPS 数据的应用表明,为了获得合理的拟合,必须使用三阶和四阶多项式样条。损失函数的选择似乎不太相关。
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.
DOI: 10.2307/2532449
发表时间: 1990-12-01
期刊: BIOMETRICS
影响因子: 1.9
作者:
KELLY, C;RICE, J
通讯作者: RICE, J