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Fully modified estimation in cointegrating polynomial regressions : extensions and Monte Carlo comparison
Lin, Yicong; Reuvers, Hanno - 2022
We study a set of fully modified (FM) estimators in multivariate cointegrating polynomial regressions. Such regressions allow for deterministic trends, stochastic trends, and integer powers of stochastic trends to enter the cointegrating relations. A new feasible generalized least squares...
Persistent link: https://www.econbiz.de/10013463978
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How to implement bootstrap hypothesis testing in static and dynamic regression models
Giersbergen, Noud P. van; Kiviet, Jan F. - 1994
Persistent link: https://www.econbiz.de/10000151691
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A new bootstrap test for the validity of a set of marginal models for multiple dependent time series : an application to risk analysis
Ardia, David; Gatarek, Lukasz; Hoogerheide, Lennart F. - 2014
A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken "directly" from the observed data. The procedure is useful when one wants to summarize the test results for several time...
Persistent link: https://www.econbiz.de/10010250513
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Return-volatility relationship : insights from linear and non-linear quantile regression
Allen, David E.; Singh, Abhay Kumar; Powell, Robert; … - 2013
Persistent link: https://www.econbiz.de/10009724826
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Adaptive testing for cointegration with nonstationary volatility
Boswijk, Herman Peter; Zu, Yang - 2019
This paper generalises Boswijk and Zu (2018)'s adaptive unit root test for time series with nonstationary volatility to … resulting likelihood ratio test statistic. We find that under suitable conditions, adaptation with respect to the volatility … process is possible, in the sense that nonparametric volatility matrix estimation does not lead to a loss of asymptotic local …
Persistent link: https://www.econbiz.de/10012026102
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A hybrid joint moment ratio test for financial time series
Groenendijk, Patrick A.; Lucas, André; Vries, Casper G. de - 1998
. The methodology is hybrid because it combines a formaltesting procedure with volatility curve pattern recognition based …
Persistent link: https://www.econbiz.de/10011299968
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A simple test for causality in volatility
Chang, Chia-Lin; McAleer, Michael - 2016
volatility) associated with financial returns, was the portmanteau statistic for non-causality in variance of Cheng and Ng (1996 … the paper is to derive a simple test for causality in volatility that provides regularity conditions arising from the …
Persistent link: https://www.econbiz.de/10011556246
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Value-at-risk and extreme returns
Daníelsson, Jón; Vries, Casper G. de - 1998
Persistent link: https://www.econbiz.de/10000980737
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Value-at-risk and extreme returns
Daníelsson, Jón; Vries, Casper G. de - 1997
Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
Persistent link: https://www.econbiz.de/10010533206
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Analyzing the term structure of interest rates using the dynamic Nelson-Siegel model with time-varying parameters
Koopman, Siem Jan; Mallee, Max I. P.; Wel, Michel van der - 2007
factor. Second, we specify the overall volatility as a generalized autoregressive conditional heteroscedasticity (GARCH …
Persistent link: https://www.econbiz.de/10011373825