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Modeling high dimensional time series for factors driving volatility strings
Mungo, Julius - 2009
Persistent link: https://www.econbiz.de/10003835521
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Nonlinear time series models in empirical finance
Franses, Philip Hans; Dijk, Dick van - 2000 - 1. publ.
Persistent link: https://www.econbiz.de/10001484071
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Proceedings of the Hong Kong International Workshop on Statistics and Finance: an Interface : Centre of Financial Time Series, the University of Hong Kong 4-8 July 1999
Chan, Wai-Sum (contributor); Li, Wai Keung (contributor);  … - International Workshop on Statistics and Finance <1999, … - 2000
Persistent link: https://www.econbiz.de/10001490756
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Die parametrische und semiparametrische Analyse von Finanzzeitreihen : Neue Methoden, Modelle und Anwendungsmöglichkeiten
Peitz, Christian - 2016 - 1. Aufl. 2016
Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...
Persistent link: https://www.econbiz.de/10014018518
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Nonlinear time series models in empirical finance
Franses, Philip Hans; Dijk, Dick van - 2000
The most up-to-date and accessible guide to one of the fastest growing areas in financial analysis by one of Europes's leading teaching and researching teams. This classroom-tested advanced undergraduate and graduate textbook provides an in-depth treatment of non-linear models, including...
Persistent link: https://www.econbiz.de/10012672526
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Essays on long memory time series
Leschinski, Christian Hendrik - 2016
Persistent link: https://www.econbiz.de/10011559565
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Simulation-based inference in econometrics : methods and applications
Mariano, Roberto S. (contributor);  … - 2000 - 1. publ.
Persistent link: https://www.econbiz.de/10001497852
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Handbook of applied economic statistics
Ullah, Aman (ed.); Giles, David E. A. (contributor) - 1998
Persistent link: https://www.econbiz.de/10013282228
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Long memory modelling of inflation with stochastic variance and structural breaks
Bos, Charles S.; Koopman, Siem Jan; Ooms, Marius - 2007
conditional variance is modelled by a stochastic volatility process. We develop a Monte Carlo maximum likelihood method to obtain … variance, in the order of integration, in the short memory characteristics and in the volatility of volatility. …
Persistent link: https://www.econbiz.de/10011373822
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Handbook of financial time series
Andersen, Torben (ed.); Davis, Richard A. (contributor);  … - 2009
Persistent link: https://www.econbiz.de/10003494231