Modelling structural breaks, long memory and stock market volatility: an overview
A Banerjee, G Urga - Journal of Econometrics, 2005 - Elsevier
Modelling structural breaks, long memory and stock market volatility: an overview - ScienceDirect
Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View …
Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View …
[HTML][HTML] Cambios estructurales en series de tiempo: una revisión del estado del arte
PA Sánchez - Revista Ingenierías Universidad de Medellín, 2008 - scielo.org.co
Los avances recientes en el análisis de series de tiempo reflejan una creciente necesidad
de desarrollar modelos que permitan capturar sus diversas características. Tal es el caso de …
de desarrollar modelos que permitan capturar sus diversas características. Tal es el caso de …
A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals
A Zeileis - Econometric Reviews, 2005 - Taylor & Francis
Three classes of structural change tests (or tests for parameter instability) that have been
receiving much attention in both the statistics and the econometrics communities but have …
receiving much attention in both the statistics and the econometrics communities but have …
Robustness and ambiguity aversion in general equilibrium
We analyze the empirical predictions of ambiguity aversion in intertemporal heterogenous
agents economies. We examine equilibria for two tract able wealth–homothetic settings of …
agents economies. We examine equilibria for two tract able wealth–homothetic settings of …
Detection of structural breaks in linear dynamic panel data models
S De Wachter, E Tzavalis - Computational Statistics & Data Analysis, 2012 - Elsevier
A break detection testing procedure for the well-known AR (p) linear panel data model with
exogenous or pre-determined regressors is developed. The proposed method can …
exogenous or pre-determined regressors is developed. The proposed method can …
Robust value at risk prediction
This paper proposes a robust semiparametric bootstrap method to estimate predictive
distributions of GARCH-type models. The method is based on a robust estimation of …
distributions of GARCH-type models. The method is based on a robust estimation of …
Optimal conditionally unbiased bounded-influence inference in dynamic location and scale models
This article studies the local robustness of estimators and tests for the conditional location
and scale parameters in a strictly stationary time series model. We first derive optimal …
and scale parameters in a strictly stationary time series model. We first derive optimal …
[PDF][PDF] Impact of energy sources and the electricity crisis on the economic growth: policy implications for Pakistan
The electricity crisis in Pakistan is a very real problem and because of this, life as we know it
in Pakistan is extremely challenged. Imagine living in a country with power outages …
in Pakistan is extremely challenged. Imagine living in a country with power outages …
Testing for distributional structural change with unknown breaks: application to pricing crop insurance contracts
H Lu, AP Ker - Journal of the Royal Statistical Society Series C …, 2024 - academic.oup.com
Agriculture in developed countries is produced under heavily subsidized insurance. The
pricing of these insurance contracts, termed premium rates, directly influences farmers …
pricing of these insurance contracts, termed premium rates, directly influences farmers …
Parameter instability in quantile regression
M Furno - Statistical Modelling, 2007 - journals.sagepub.com
The paper analyzes the behavior of a test for structural break based on quantile regression
estimates. It considers the case of an estimated break in conjunction with independent and …
estimates. It considers the case of an estimated break in conjunction with independent and …