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Financial accelerator, household portfolio, stock prices, and monetary policy shocks
Alovokpinhou, Sedjro Aaron; Dladla, Pholile; Malikane, … - In: Applied economics letters 31 (2024) 1, pp. 31-39
Persistent link: https://www.econbiz.de/10014441979
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The application of multivariate GARCH models to turbulent financial markets
Zahnd, Edy - 2002 - Als Ms. gedr.
Persistent link: https://www.econbiz.de/10001659873
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Goodness-of-fit tests for parametric families of Archimedean copulas
Trede, Mark; Savu, Cornelia - 2004
Persistent link: https://www.econbiz.de/10002688693
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Long term vs. short term comovements in stock markets : the use of Markov-switching multifractal models
Idier, Julien (contributor) - 2008
Persistent link: https://www.econbiz.de/10003796991
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Modelling, estimation and visualization of multivariate dependence for high-frequency data
Brodin, Erik; Klüppelberg, Claudia - In: Statistical modelling and regression structures : …, (pp. 267-300). 2010
Persistent link: https://www.econbiz.de/10003964488
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The dimensions of stock markets : a comparison between Europe, the USA and Asia
Le Nguyen Doan Khoi - 2009
Persistent link: https://www.econbiz.de/10003924764
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Goodness-of-fit tests for parametric families of Archimedean copulas
Savu, Cornelia; Trede, Mark - 2004
empirical illustration on the return distribution of the USA S&P500 Chemical stocks is given. The results have interesting …
Persistent link: https://www.econbiz.de/10009349860
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Modeling and forecasting of multivariate stock market volatility
Gribisch, Bastian - 2012
Persistent link: https://www.econbiz.de/10009714192
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Multivariate maximum entropy densities applied for multivariate analysis of financial time series
Gao, Yang - 2014 - 1. Aufl.
Persistent link: https://www.econbiz.de/10010383443
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A blocking and regularization approach to high dimensional realized covariance estimation
Hautsch, Nikolaus; Kyj, Lada M.; Hautsch, Nikolaus - 2009
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003909174