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  • Search: subject:"Numerical differentiation"
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Year of publication
Subject
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numerical differentiation 7 Numerical differentiation 3 Risikoquantifizierung 2 Risk quantification 2 characteristic function 2 charakteristische Funktion 2 combined distributions 2 kombinierte Verteilungen 2 nonstandard analysis 2 numerical integration 2 numerische Integration 2 numerisches Ableiten 2 operational risks 2 operationelle Risiken 2 trends 2 volatility 2 Betriebsgröße 1 Black–Scholes model 1 Delta method 1 Directional differentiability 1 Dupire equation 1 Firm size 1 IFRS 1 IFRS 9 1 Kalman filters 1 Quantitative finance 1 Regression analysis 1 Regressionsanalyse 1 Sharpe ratio 1 Simulation 1 Spline approximants 1 Spline collocation methods 1 Taylor series 1 Theorie 1 Theory 1 Time series 1 Treynor ratio 1 Volatility 1 Volatilität 1 automotive industry 1
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Online availability
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Free 5 Undetermined 5 CC license 1
Type of publication
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Book / Working Paper 6 Article 4
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1 Research Report 1 Working Paper 1
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Language
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English 4 German 2 French 2 Undetermined 2
Author
All
Fliess, Michel 3 Hatt, Frédéric 2 Join, Cédric 2 Knobloch, Ralf 2 Collado, Francisco De Asís García 1 D'Andréa-Novel, Brigitte 1 Foucher, Françoise 1 HANKE, MARTIN 1 Hong, Han 1 Kostyrka, Andrei͏̈ 1 Li, Jessie 1 Mounier, Hugues 1 RÖSLER, ELISABETH 1 Sablonnière, Paul 1 Stander, Yolanda S. 1
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Institution
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HAL 3
Published in...
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Post-Print / HAL 3 Forschung am ivwKöln 2 Discussion paper 1 International Journal of Theoretical and Applied Finance (IJTAF) 1 Journal of econometrics 1 Mathematics and Computers in Simulation (MATCOM) 1 South African journal of accounting research 1
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Source
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RePEc 5 ECONIS (ZBW) 4 EconStor 1
Showing 1 - 10 of 10
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Risikoquantifizierung : charakteristische Funktion und numerische Methoden als Alternative zur Monte-Carlo-Simulation : Fallbeispiele zu kombinierten Verteilungen
Knobloch, Ralf - 2025
Für Unternehmen werden die Anforderungen an die Genauigkeit bei der Bewertung von Risiken aufgrund interner und externer Faktoren zunehmend höher. Dies erfordert komplexere Modelle und Berechnungsmethoden, sowohl auf der Ebene von Einzelrisken als auch auf der Ebene von Risikoportfolios....
Persistent link: https://www.econbiz.de/10015475156
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Risikoquantifizierung: Charakteristische Funktion und numerische Methoden als Alternative zur Monte-Carlo-Simulation: Fallbeispiele zu kombinierten Verteilungen
Knobloch, Ralf - 2025
Für Unternehmen werden die Anforderungen an die Genauigkeit bei der Bewertung von Risiken aufgrund interner und externer Faktoren zunehmend höher. Dies erfordert komplexere Modelle und Berechnungsmethoden, sowohl auf der Ebene von Einzelrisken als auch auf der Ebene von Risikoportfolios....
Persistent link: https://www.econbiz.de/10015477987
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Step size selection in numerical differences using a regression kink
Kostyrka, Andrei͏̈ - 2025
Persistent link: https://www.econbiz.de/10015407436
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Quantifying the sources of volatility in the IFRS 9 impairments
Stander, Yolanda S. - In: South African journal of accounting research 35 (2021) 3, pp. 191-218
Persistent link: https://www.econbiz.de/10012693721
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The numerical delta method
Hong, Han; Li, Jessie - In: Journal of econometrics 206 (2018) 2, pp. 379-394
Persistent link: https://www.econbiz.de/10012110395
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Volatility made observable at last
Fliess, Michel; Join, Cédric; Hatt, Frédéric - HAL - 2011
The Cartier-Perrin theorem, which was published in 1995 and is expressed in the language of nonstandard analysis, permits, for the first time perhaps, a clear-cut mathematical definition of the volatility of a financial asset. It yields as a byproduct a new understanding of the means of returns,...
Persistent link: https://www.econbiz.de/10008836782
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Is a probabilistic modeling really useful in financial engineering? --- A-t-on vraiment besoin d'un modèle probabiliste en ingénierie financière ?
Fliess, Michel; Join, Cédric; Hatt, Frédéric - HAL - 2011
A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, but also efficient calculations which were already successfully applied in automatic control and in signal processing. It...
Persistent link: https://www.econbiz.de/10008924910
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Analyse fréquentielle des dérivateurs algébriques
Collado, Francisco De Asís García; D'Andréa-Novel, … - HAL - 2009
This communication is devoted to the performance evaluation of new numerical differentiators, of algebraic flavor, which lead to the solution of many pending questions in control, signal and finance. The continuous-time expression of such a differentiator is an integral over a short time window...
Persistent link: https://www.econbiz.de/10008792650
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Quadratic spline quasi-interpolants and collocation methods
Foucher, Françoise; Sablonnière, Paul - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 12, pp. 3455-3465
Univariate and multivariate quadratic spline quasi-interpolants provide interesting approximation formulas for derivatives of approximated functions that can be very accurate at some points thanks to the superconvergence properties of these operators. Moreover, they also give rise to good global...
Persistent link: https://www.econbiz.de/10010870100
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COMPUTATION OF LOCAL VOLATILITIES FROM REGULARIZED DUPIRE EQUATIONS
HANKE, MARTIN; RÖSLER, ELISABETH - In: International Journal of Theoretical and Applied … 08 (2005) 02, pp. 207-221
We propose a new method to calibrate the local volatility function of an asset from observed option prices of the underlying. Our method is initialized with a preprocessing step in which the given data are smoothened using cubic splines before they are differentiated numerically. In a second...
Persistent link: https://www.econbiz.de/10004971749
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