Runs tests for assessing volatility forecastability in financial time series
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Publication:704067
DOI10.1016/J.EJOR.2004.01.003zbMath1066.91037OpenAlexW2087951559MaRDI QIDQ704067
Gianna Figà-Talamanca, Fabio Bellini
Publication date: 12 January 2005
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2004.01.003
Markov and semi-Markov decision processes (90C40) Statistical methods; economic indices and measures (91B82)
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Cites Work
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- Formulae and recursions for the joint distributions of success runs of several lengths in a two-state Markov chain
- An application of the method of finite Markov chain imbedding to runs tests
- Combinatorial extreme value distributions
- DETECTING AND MODELING TAIL DEPENDENCE
- Modeling and Forecasting Realized Volatility
- A POWER FUNCTION FOR TESTS OF RANDOMNESS IN A SEQUENCE OF ALTERNATIVES
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