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ECONIS (ZBW)
220
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1
Bootstrapping
GARCH
models under dependent innovations
Beutner, Eric
;
Schaumburg, Julia
;
Spanjers, Barend
-
2024
This study reflects on the inconsistency of the fixed-design residual bootstrap procedure for
GARCH
models under …
Persistent link: https://www.econbiz.de/10014457811
Saved in:
2
Asymmetric volatility impulse response functions
Hafner, Christian M.
;
Herwartz, Helmut
- In:
Economics letters
222
(
2023
),
pp. 1-6
Persistent link: https://www.econbiz.de/10014232851
Saved in:
3
Pooling Dynamic Conditional Correlation models
Os, Bram van
;
Dijk, Dick van
-
2021
The Dynamic Conditional Correlation (DCC) model by Engle (2002) has become an extremely popular tool for modeling the time-varying dependence of asset returns. However, applications to large cross-sections have been found to be problematic, due to the curse of dimensionality. We propose a novel...
Persistent link: https://www.econbiz.de/10012650187
Saved in:
4
Common and idiosyncratic conditional volatility factors : theory and empirical evidence
Blasques, Francisco
;
D'Innocenzo, Enzo
;
Koopman, Siem Jan
-
2021
-
This version: June 21, 2021
We propose a multiplicative dynamic factor structure for the conditional modelling of the variances of an N-dimensional vector of financial returns. We identify common and idiosyncratic conditional volatility factors. The econometric framework is based on an observation-driven time series model...
Persistent link: https://www.econbiz.de/10012591559
Saved in:
5
Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors
Gorgi, Paolo
;
Koopman, Siem Jan
;
Schaumburg, Julia
-
2021
We introduce a new and general methodology for analyzing vector autoregressive models with time-varying coefficient matrices and conditionally heteroskedastic disturbances. Our proposed method is able to jointly treat a dynamic latent factor model for the autoregressive coefficient matrices and...
Persistent link: https://www.econbiz.de/10012591572
Saved in:
6
Stock market volatility and public information flow : a non-linear perspective
Bertelsen, Kristoffer Pons
;
Borup, Daniel
;
Jakobsen, …
- In:
Economics letters
204
(
2021
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012607808
Saved in:
7
An event study of Chinese tourists to Taiwan
Chang, Chia-Lin
;
Hsu, Shu-Han
;
McAleer, Michael
-
2018
, namely,
GARCH
(1,1), GJR (1,1) and EGARCH (1,1), are used to estimate the abnormal rate of change in the number of tourists …
Persistent link: https://www.econbiz.de/10011794257
Saved in:
8
Bayesian analysis of realized matrix-exponential
GARCH
models
Asai, Manabu
;
McAleer, Michael
-
2018
The paper develops a new realized matrix-exponential
GARCH
(MEGARCH) model, which uses the information of returns and … three US financial assets, we compare the realized MEGARCH models with existing multivariate
GARCH
class models. The …
Persistent link: https://www.econbiz.de/10011794277
Saved in:
9
A residual-based test for multivariate
GARCH
models using transformed quadratic residuals
Ke, Rui
;
Jia, Jing
;
Tan, Changchun
- In:
Economics letters
206
(
2021
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012886565
Saved in:
10
Bitcoin mining activity and volatility dynamics in the power market
Karmakar, Sayar
;
Demirer, Rıza
;
Gupta, Rangan
- In:
Economics letters
209
(
2021
),
pp. 1-6
Persistent link: https://www.econbiz.de/10013209321
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