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Noising the GARCH Volatility: A Random Coefficient GARCH Model
Journal of Time Series AnalysisABSTRACTThis paper proposes a noisy GARCH model with two volatility sequences (an unobserved and an observed/predictive one) and a stochastic time‐varying conditional kurtosis. The unobserved volatility equation, equipped with random coefficients, is a linear function of the past squared observations and of the past predictive volatility.
Abdelhakim Aknouche +2 more
openaire +1 more source
2013
???????????????????? ?????????? ?????????????? ?????????????? GARCH ?????? ?????????????????????????? ???????????????????????? ?????????????? ?????????????????? ???????????????????????????? ???????????????????????????????????? ???????????????? ?????? ?????????????????????????? ?????????????? ?????????????? ?? ???????????? ?????????????????? ????????????
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???????????????????? ?????????? ?????????????? ?????????????? GARCH ?????? ?????????????????????????? ???????????????????????? ?????????????? ?????????????????? ???????????????????????????? ???????????????????????????????????? ???????????????? ?????? ?????????????????????????? ?????????????? ?????????????? ?? ???????????? ?????????????????? ????????????
openaire +1 more source
2015
4 Title: Multivariate GARCH Author: Mgr. Milan Mad'ar Department: Katedra pravděpodobnosti a matematické statistiky Abstract: This thesis will examine the regional and global linkages as evi- dence the integrated markets consist of stock markets in Frankfurt, Amsterdam, Prague the U.S.
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4 Title: Multivariate GARCH Author: Mgr. Milan Mad'ar Department: Katedra pravděpodobnosti a matematické statistiky Abstract: This thesis will examine the regional and global linkages as evi- dence the integrated markets consist of stock markets in Frankfurt, Amsterdam, Prague the U.S.
openaire +5 more sources
2010
?????????????????????? ?????????????????????????? ?????????????????? ???????????????????????????? ?????????????? GARCH ?????? ?????????????????????????????? ???????????????? ?????????????????? ???????????????????????????????????????? ?????????????????? ?????? ?????????????????????????? ?????????????? ???????????????????? ?? ???????????? ????????????????
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?????????????????????? ?????????????????????????? ?????????????????? ???????????????????????????? ?????????????? GARCH ?????? ?????????????????????????????? ???????????????? ?????????????????? ???????????????????????????????????????? ?????????????????? ?????? ?????????????????????????? ?????????????? ???????????????????? ?? ???????????? ????????????????
openaire +1 more source
Estimating yield spreads volatility using GARCH-type models
North American Journal of Economics and Finance, 2021Hojin Jung, Jong-Min Kim
exaly
Persistence in Variance, Structural Change, and the GARCH Model
Journal of Business and Economic Statistics, 1990William D Lastrapes
exaly
Augmented GARCH (p,q) process and its diffusion limit
Journal of Econometrics, 1997Jin-Chuan Duan
exaly

