A trend-based segmentation method and the support vector regression for financial time series forecasting
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Publication:1954994
DOI10.1155/2012/615152zbMath1264.91097OpenAlexW2153779067WikidataQ58912308 ScholiaQ58912308MaRDI QIDQ1954994
Pei-Chann Chang, Jheng-Long Wu
Publication date: 11 June 2013
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/615152
Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Economic time series analysis (91B84)
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Cites Work
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- Financial applications of bivariate Markov processes
- Modeling and pricing of variance and volatility swaps for local semi-Markov volatilities in financial engineering
- Fractal time series -- A tutorial review
- Chaotic time series analysis
- A new adaptive local linear prediction method and its application in hydrological time series
- Chaos control of a fractional-order financial system
- Knowledge-based Green's kernel for support vector regression
- An empirical evaluation of fat-tailed distributions in modeling financial time series
- Discrete Geometry for Computer Imagery
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