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Risk Estimation on High Frequency Financial Data Empirical Analysis of the DAX 30 /
By studying the ability of the Normal Tempered Stable (NTS) model to fit the statistical features of intraday data at a 5 min sampling frequency, Florian Jacobs extends the research on high frequency data as well as the appliance of tempered stable models. He examines the DAX30 returns using ARMA-GA...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | BestMasters,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
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| 001 | 978-3-658-09389-1 | ||
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| 020 | |a 9783658093891 |9 978-3-658-09389-1 | ||
| 024 | 7 | |a 10.1007/978-3-658-09389-1 |2 doi | |
| 050 | 4 | |a QA273.A1-274.9 | |
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| 100 | 1 | |a Jacob, Florian. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Risk Estimation on High Frequency Financial Data |h [electronic resource] : |b Empirical Analysis of the DAX 30 / |c by Florian Jacob. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Wiesbaden : |b Springer Fachmedien Wiesbaden : |b Imprint: Springer Spektrum, |c 2015. | |
| 300 | |a XI, 70 p. 12 illus. |b online resource. | ||
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| 490 | 1 | |a BestMasters, |x 2625-3615 | |
| 505 | 0 | |a Multivariate Standard Normal Tempered Stable Distribution -- FIGARCH -- High Frequency Data and Risk Management. | |
| 520 | |a By studying the ability of the Normal Tempered Stable (NTS) model to fit the statistical features of intraday data at a 5 min sampling frequency, Florian Jacobs extends the research on high frequency data as well as the appliance of tempered stable models. He examines the DAX30 returns using ARMA-GARCH NTS, ARMA-GARCH MNTS (Multivariate Normal Tempered Stable) and ARMA-FIGARCH (Fractionally Integrated GARCH) NTS. The models will be benchmarked through their goodness of fit and their VaR and AVaR, as well as in an historical Backtesting. Contents Multivariate Standard Normal Tempered Stable Distribution FIGARCH High Frequency Data and Risk Management Target Groups Researchers and students in the field of finance Practitioners in this area The Author Florian Jacob obtained his Master's Degree in Business Engineering from the Karlsruhe Institute of Technology focusing on the application of tempered stable distributions on financial data and financial engineering. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Mathematics |x Data processing. | |
| 650 | 0 | |a Mathematical analysis. | |
| 650 | 1 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a Computational Mathematics and Numerical Analysis. |
| 650 | 2 | 4 | |a Analysis. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783658093907 |
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| 830 | 0 | |a BestMasters, |x 2625-3615 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-658-09389-1 |z Texto Completo |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
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