國立高雄大學圖資館 |

Language: English

Back

Risk estimation on high frequency fi...

Jacob, Florian.

Risk estimation on high frequency financial dataempirical analysis of the DAX 30 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Risk estimation on high frequency financial databy Florian Jacob.
Reminder of title:	empirical analysis of the DAX 30 /
Author:	Jacob, Florian.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2015.
Description:	xi, 70 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Stock exchangesGermany.
Online resource:	http://dx.doi.org/10.1007/978-3-658-09389-1
ISBN:	9783658093891 (electronic bk.)

Risk estimation on high frequency financial dataempirical analysis of the DAX 30 /
Jacob, Florian.

Risk estimation on high frequency financial dataempirical analysis of the DAX 30 /[electronic resource] :by Florian Jacob. - Wiesbaden :Springer Fachmedien Wiesbaden :2015. - xi, 70 p. :ill., digital ;24 cm. - BestMasters. - BestMasters..

Multivariate Standard Normal Tempered Stable Distribution -- FIGARCH -- High Frequency Data and Risk Management.

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.

ISBN: 9783658093891 (electronic bk.)

Standard No.: 10.1007/978-3-658-09389-1doiSubjects--Topical Terms:

715997
Stock exchanges
--Germany.

LC Class. No.: HG5492

Dewey Class. No.: 332.6780943

Risk estimation on high frequency financial dataempirical analysis of the DAX 30 /
LDR:02111nmm a2200337 a 4500 001 462804
003 DE-He213
005 20151029103026.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783658093891 (electronic bk.)
020 $a 9783658093884 (paper)
024 7 $a 10.1007/978-3-658-09389-1 $2 doi
035 $a 978-3-658-09389-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HG5492
072 7 $a PBT $2 bicssc
072 7 $a PBWL $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 332.6780943 $2 23
090 $a HG5492 $b .J15 2015
100 1 $a Jacob, Florian. $3 715996
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.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Spektrum, $c 2015.
300 $a xi, 70 p. : $b ill., digital ; $c 24 cm.
490 1 $a BestMasters
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 Stock exchanges $z Germany. $3 715997
650 0 $a Electronic trading of securities. $3 203852
650 0 $a Investments $x Mathematical models. $3 221368
650 0 $a Investment analysis. $3 184941
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
650 2 4 $a Analysis. $3 273775
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a BestMasters. $3 676593
856 4 0 $u http://dx.doi.org/10.1007/978-3-658-09389-1
950 $a Mathematics and Statistics (Springer-11649)