114,47 €
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Risk Estimation on High Frequency Financial Data
Risk Estimation on High Frequency Financial Data
114,47
127,19 €
  • We will send in 10–14 business days.
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 AVa…
127.19
  • Publisher:
  • Year: 2015
  • Pages: 70
  • ISBN-10: 3658093889
  • ISBN-13: 9783658093884
  • Format: 14.8 x 21 x 0.5 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Risk Estimation on High Frequency Financial Data (e-book) (used book) | bookbook.eu

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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.

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  • Author: Florian Jacob
  • Publisher:
  • Year: 2015
  • Pages: 70
  • ISBN-10: 3658093889
  • ISBN-13: 9783658093884
  • Format: 14.8 x 21 x 0.5 cm, minkšti viršeliai
  • Language: English English

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.

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