A Bayesian approach to term structure modeling using heavy‐tailed distributions
From MaRDI portal
Publication:5414514
DOI10.1002/ASMB.920zbMath1306.62215OpenAlexW2132267829MaRDI QIDQ5414514
Carlos A. Abanto-Valle, Victor Hugo Lachos, Pulak Ghosh
Publication date: 6 May 2014
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asmb.920
Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70)
Related Items (2)
Slash distributions, generalized convolutions, and extremes ⋮ Tensor Voting: Current State, Challenges and New Trends in the Context of Medical Image Analysis
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Forecasting the term structure of government bond yields
- The macroeconomy and the yield curve: a dynamic latent factor approach
- Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach
- Estimating the term structures of corporate debt
- Bayes inference in regression models with ARMA\((p,q)\) errors
- Markov chains for exploring posterior distributions. (With discussion)
- Bayesian inference in a stochastic volatility Nelson-Siegel model
- The multivariate skew-slash distribution
- A Theory of the Term Structure of Interest Rates
- Marginal Likelihood from the Gibbs Output
- An arbitrage‐free generalized Nelson–Siegel term structure model
- A YIELD‐FACTOR MODEL OF INTEREST RATES
- Bayesian Measures of Model Complexity and Fit
- The simulation smoother for time series models
- An equilibrium characterization of the term structure
- Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model
- Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling.
This page was built for publication: A Bayesian approach to term structure modeling using heavy‐tailed distributions