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  • Search: subject:"Subordinated process"
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Year of publication
Subject
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Expected Shortfall 3 Value at Risk 3 High-Frequency Data 2 Intrinsic Time 2 Risikomaß 2 Risk measure 2 Scaling Law 2 Subordinated Process 2 Theorie 2 Theory 2 Time series analysis 2 Volatility 2 Volatilität 2 Zeitreihenanalyse 2 Börsenkurs 1 Estimation 1 Forecasting model 1 High-frequency data 1 Intrinsic time 1 Portfolio selection 1 Portfolio-Management 1 Prognoseverfahren 1 Schätzung 1 Self-similar 1 Share price 1 Statistical distribution 1 Statistische Verteilung 1 Stochastic process 1 Stochastischer Prozess 1 Subordinated process 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Conference Paper 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1 Working Paper 1
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Language
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English 3
Author
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Dimitriadis, Timo 3 Halbleib, Roxana 3
Published in...
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Beiträge zur Jahrestagung des Vereins für Socialpolitik 2019: 30 Jahre Mauerfall - Demokratie und Marktwirtschaft - Session: Financial Econometrics II 1 GSDS working paper 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Realized quantiles
Dimitriadis, Timo; Halbleib, Roxana - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 3, pp. 1346-1361
Persistent link: https://www.econbiz.de/10013539526
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How informative is high-frequency data for tail risk estimation and forecasting? An intrinsic time perspectice
Halbleib, Roxana; Dimitriadis, Timo - 2019
This paper proposes a novel and simple approach to compute daily Value at Risk (VaR) and Expected Shortfall (ES) directly from high-frequency data. It assumes that financial logarithm prices are subordinated unifractal processes in the intrinsic time, which stochastically transforms the clock...
Persistent link: https://www.econbiz.de/10012099231
Saved in:
Cover Image
How informative is high-frequency data for tail risk estimation and forecasting? : an intrinsic time perspectice
Dimitriadis, Timo; Halbleib, Roxana - 2019
This paper proposes a novel and simple approach to compute daily Value at Risk (VaR) and Expected Shortfall (ES) directly from high-frequency data. It assumes that financial logarithm prices are subordinated unifractal processes in the intrinsic time, which stochastically transforms the clock...
Persistent link: https://www.econbiz.de/10012317619
Saved in:
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