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Modelling and Simulation: An Overview
McAleer, Michael; Chan, Felix; Oxley, Les - 2013
The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving …, globalization, and innovation: a general equilibrium simulation, whether exchange rates affect consumer prices: a comparative …
Persistent link: https://www.econbiz.de/10010326266
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A new INAR(1) model for Z-valued time series using the relative binomial thinning operator
Kachour, Maher; Bakouch, Hassan S.; Mohammadi, Zohreh - In: Jahrbücher für Nationalökonomie und Statistik 243 (2023) 2, pp. 125-152
conditional maximum likelihood methods are considered for the parameter estimation of the model. Moreover, simulation experiments …
Persistent link: https://www.econbiz.de/10014514104
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Forecasting long memory time series under a break in persistence
Heinen, Florian; Sibbertsen, Philipp; Kruse, Robinson - 2009
We consider the problem of forecasting time series with long memory when the memory parameter is subject to a structural break. By means of a large-scale Monte Carlo study we show that ignoring such a change in persistence leads to substantially reduced forecasting precision. The strength of...
Persistent link: https://www.econbiz.de/10010270056
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Modeling long memory and structural breaks in conditional variances: An adaptive FIGARCH approach
Baillie, Richard T.; Morana, Claudio - 2007
This paper introduces a new long memory volatility process, denoted by Adaptive FIGARCH, or A-FIGARCH, which is designed to account for both long memory and structural change in the conditional variance process. Structural change is modeled by allowing the intercept to follow a slowly varying...
Persistent link: https://www.econbiz.de/10010284151
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Long memory modelling of inflation with stochastic variance and structural breaks
Bos, Charles S.; Koopman, Siem Jan; Ooms, Marius - 2007
We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...
Persistent link: https://www.econbiz.de/10011373822
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Parameter driven multi-state duration models : simulated vs. approximate maximum likelihood estimation
Monteiro, André Antonio - 2008 - This version: February 15, 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10011374420
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Identification and estimation issues in exponential smooth transition autoregressive models
Buncic, Daniel - 2017
models. We illustrate this by means of an empirical replication of a widely cited study, as well as a simulation exercise. …
Persistent link: https://www.econbiz.de/10011747829
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Time series models with a common stochastic variance for analysing economic time series
Koopman, Siem Jan; Bos, Charles S. - 2002
The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10011327834
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Forecasting long memory time series under a break in persistence
Heinen, Florian; Sibbertsen, Philipp; Kruse, Robinson - 2009
We consider the problem of forecasting time series with long memory when the memory parameter is subject to a structural break. By means of a large-scale Monte Carlo study we show that ignoring such a change in persistence leads to substantially reduced forecasting precision. The strength of...
Persistent link: https://www.econbiz.de/10003899580
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Optimal bandwidth selection in non-parametric spectral density estimation : review and simulation
Fortin, Ines - 1999
comparison is based on a small simulation study. The processes that are simulated are in the class of ARMA (5,5) processes. Based … on the simulation evidence, we suggest to use a slightly modified version of Buehlmann's (1996) iterative method …. -- window width ; bandwidth ; non-parametric spectral estimation ; simulation …
Persistent link: https://www.econbiz.de/10009711652