Results 121 to 130 of about 1,408,945 (162)
Parameter estimation in nonlinear AR–GARCH models [PDF]
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
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A Range-Based GARCH Model for Forecasting Volatility [PDF]
A new variant of the ARCH class of models for forecasting the conditional variance, to be called the Generalized AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) Model, is proposed.
Mapa, Dennis S.
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Modelos de memória longa, GARCH e GARCH com memória longa para séries financeiras [PDF]
, 2015 openaire +1 more source
Improving Portfolio Optimization by DCC And DECO GARCH: Evidence from Istanbul Stock Exchange [PDF]
In this paper, the performance of global minimum variance (GMV) portfolios constructed by DCC and DECO-GARCH are compared to that of GMV portfolios constructed by sample covariance and constant correlation methods in terms of reduced volatility.
Yilmaz, Tolgahan
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Marginal Likelihood for Markov-Switching and Change-Point Garch Models [PDF]
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC methods due to
Arnaud Dufays +2 more
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Overestimation in the Traditional GARCH Model During Jump Periods [PDF]
The traditional continuous and smooth models, like the GARCH model, may fail to capture extreme returns volatility. Therefore, this study applies the bivariate poisson (CBP)-GARCH model to study jump dynamics in price volatility of crude oil and heating ...
Wan-Hsiu Cheng
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The impacts of outliers on different estimators for GARCH processes: an empirical study [PDF]
The Maximum likelihood estimation (MLE) is the most widely used method to estimate the parameters of a GARCH(p,q) process. This is owed to the fact that the MLE, among other properties, is asymptotically efficient.
Ardelean, Vlad
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Outliers in Garch models and the estimation of risk measures [PDF]
In this paper we focus on the impact of additive level outliers on the calculation of risk measures, such as minimum capital risk requirements, and compare four alternatives of reducing these measures' estimation biases. The first three proposals proceed
Aurea Grané, Helena Veiga
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