Risk Estimation on High Frequency Financial Data: Empirical Analysis of the DAX 30: BestMasters
Autor Florian Jacoben Limba Engleză Paperback – 7 apr 2015
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Specificații
ISBN-13: 9783658093884
ISBN-10: 3658093889
Pagini: 84
Ilustrații: XI, 70 p. 12 illus.
Dimensiuni: 148 x 210 x 8 mm
Greutate: 0.12 kg
Ediția:2015
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Spektrum
Seria BestMasters
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658093889
Pagini: 84
Ilustrații: XI, 70 p. 12 illus.
Dimensiuni: 148 x 210 x 8 mm
Greutate: 0.12 kg
Ediția:2015
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Spektrum
Seria BestMasters
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
Multivariate Standard Normal Tempered Stable Distribution.- FIGARCH.- High Frequency Data and Risk Management.
Notă biografică
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.
Textul de pe ultima copertă
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
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.
Contents
- Multivariate Standard Normal Tempered Stable Distribution
- FIGARCH
- High Frequency Data and Risk Management
- Researchers and students in the field of finance
- Practitioners in this area
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.
Caracteristici
Study in the field of natural sciences Includes supplementary material: sn.pub/extras