The parametric estimation of stochastic differential equations (SDEs) has been the subject of intense studies already … estimation procedure of the Heston model without and with jumps in the asset prices is presented. Bayesian regression combined … with the particle filtering method is used as the estimation framework. Within the framework, we propose a novel approach …

model we exploit the link between the Asymmetric Laplace Distribution and maximum likelihood estimation for quantile …-variance relationship. Mean Squared Error estimation is discussed. Extensive model-based simulations are used for comparing the proposed …

orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … proposed estimation approach pairs intuitiveappeal with computational efficiency. We evaluate various alternative estimation …

We develop a simple estimation procedure for general equilibrium (GE) comparative static analysis of gravity models …

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …