Are multi-factor Gaussian term structure models still useful? An empirical analysis on Italian BTPs
DOI10.1080/03610918.2020.1721540zbMath1497.91315arXiv1805.09996OpenAlexW3004406396MaRDI QIDQ5867418
Publication date: 14 September 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1805.09996
maximum likelihood estimationnonlinear optimizationKalman filterbond pricingCox-Ingersoll-Ross processesGaussian Ornstein-Uhlenbeck processes
Applications of statistics to actuarial sciences and financial mathematics (62P05) Interest rates, asset pricing, etc. (stochastic models) (91G30)
Uses Software
Cites Work
- Unnamed Item
- Financial modeling, actuarial valuation and solvency in insurance
- System identification of nonlinear state-space models
- Mathematical methods for financial markets.
- Interest rate models -- theory and practice. With smile, inflation and credit
- Yield curve shapes and the asymptotic short rate distribution in affine one-factor models
- Simulation-based Bayesian estimation of an affine term structure model
- Direct estimation of the risk neutral factor dynamics of Gaussian term structure models
- Robust analysis of default intensity
- Linear Gaussian affine term structure models with unobservable factors: Calibration and yield forecasting
- Term structure of interest rates and the expectation hypothesis: The Euro area
- Numerical evaluation of complex logarithms in the Cox–Ingersoll–Ross model
- A Theory of the Term Structure of Interest Rates
- CALIBRATING THE SMILE WITH MULTIVARIATE TIME-CHANGED BROWNIAN MOTION AND THE ESSCHER TRANSFORM
- An equilibrium characterization of the term structure
- Numerical Methods for Finance
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