Showing 1 - 10 of 65
Behavioral finance has become an increasingly important subfield of finance. However the main parts of behavioral finance, prospect theory included, understand financial markets through individual investment behavior. Behavioral finance thereby ignores any interaction between participants. We...
Persistent link: https://www.econbiz.de/10010936830
This paper focuses on interest rate models with regime switching and extends previous nonlinear threshold models by relaxing the assumption of a fixed number of regimes. Instead we suggest automatic model determination through Bayesian inference via the reversible jump Markov Chain Monte Carlo...
Persistent link: https://www.econbiz.de/10005292329
We deal with real data from a stated preference experiment which was designed to explain and predict passengers' behaviour towards three main means of transportation in the city of Athens. The resulting model formulations give rise to the so-called multiranked probit model which emerges from a...
Persistent link: https://www.econbiz.de/10005309446
Persistent link: https://www.econbiz.de/10005380589
We develop Markov chain Monte Carlo methodology for Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes. The approach introduced involves expressing the unobserved stochastic volatility process in terms of a suitable marked Poisson process. We introduce two...
Persistent link: https://www.econbiz.de/10005203043
We address the problem of parameter estimation for diffusion driven stochastic volatility models through Markov chain Monte Carlo (MCMC). To avoid degeneracy issues we introduce an innovative reparametrisation defined through transformations that operate on the time scale of the diffusion. A...
Persistent link: https://www.econbiz.de/10005083669
Persistent link: https://www.econbiz.de/10010543898
We develop threshold models that allow volatilities and copula functions or their association parameters to change across time. The number and location of the thresholds is assumed unknown. We use a Markov chain Monte Carlo strategy combined with Laplace estimates that evaluate the required...
Persistent link: https://www.econbiz.de/10010606758
We address the problem of likelihood based inference for correlated diffusion processes using Markov chain Monte Carlo (MCMC) techniques. Such a task presents two interesting problems. First, the construction of the MCMC scheme should ensure that the correlation coefficients are updated subject...
Persistent link: https://www.econbiz.de/10005836360
Persistent link: https://www.econbiz.de/10005140261