Modeling Credit Spreads Using Nonlinear Regression
The term structure of credit spreads is studied with an aim to predict its future movements. A completely new approach to tackle this problem is presented, which utilizes nonlinear parametric models. The Brain-Cousens regression model with five parameters is chosen to describe the term structure of credit spreads. Further, we investigate the dependence of the parameter changes over time and the determinants of credit spreads.
Year of publication: |
2014-01
|
---|---|
Authors: | Mirkov, Radoslava ; Maul, Thomas ; Hochreiter, Ronald ; Thomae, Holger |
Institutions: | arXiv.org |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Active extension portfolio optimization with non-convex risk measures using metaheuristics
Hochreiter, Ronald, (2014)
-
A note on evolutionary stochastic portfolio optimization and probabilistic constraints
Hochreiter, Ronald, (2010)
-
Evolutionary multi-stage financial scenario tree generation
Hochreiter, Ronald, (2009)
- More ...