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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Forecasting High-Frequency Volatility Shocks: An Analytical Real-Time Monitoring System

Forecasting High-Frequency Volatility Shocks: An Analytical Real-Time Monitoring System

Kömm, Holger

Paperback

EconomicsGeneral Science

ISBN10: 3658125950
ISBN13: 9783658125950
Publisher: Springer Nature
Published: Feb 16 2016
Pages: 171
Weight: 0.60
Height: 0.47 Width: 5.83 Depth: 8.27
Language: English
This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring system, using first, a sequence of competing estimators to compute the unobservable volatility; second, a new two-state Markov switching mixture model for autoregressive and zero-inflated time-series to identify structural breaks in a latent data generation process and third, a selection of competing pattern recognition algorithms to classify the potential information embedded in unexpected, but public observable text data in shock and nonshock information. The monitor is trained, tested, and evaluated on a two year survey on the prime standard assets listed in the indices DAX, MDAX, SDAX and TecDAX.

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