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  • Search: subject:"numerical integration"
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Year of publication
Subject
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numerical integration 34 Numerical integration 10 Numerical Integration 9 Theorie 8 Stochastischer Prozess 7 Economic models 6 Stochastic process 6 Theory 6 equation 6 equations 6 probability 6 statistics 6 Optionspreistheorie 5 correlation 5 forecasting 5 importance sampling 5 survey 5 volatility models 5 Calibration 4 Fast Fourier Transform 4 Option pricing theory 4 Stochastic Volatility Models 4 Volatilität 4 covariance 4 econometrics 4 normal distribution 4 panel data 4 prediction 4 sampling 4 time series 4 Compartmental model 3 Dynamic process 3 Estimation theory 3 First-order approximation 3 Kernel 3 LDV models 3 Michaelis-Menten kinetic 3 Monte Carlo Integration 3 Monte Carlo simulation 3 Monte-Carlo-Simulation 3
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Online availability
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Free 54 CC license 2
Type of publication
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Book / Working Paper 45 Article 9
Type of publication (narrower categories)
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Working Paper 19 Arbeitspapier 9 Graue Literatur 9 Non-commercial literature 9 Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
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Language
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English 34 Undetermined 20
Author
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Koopman, Siem Jan 5 Lit, Rutger 5 Kilin, Fiodar 4 Lucas, André 4 Becka, Michael 3 Guegan, Dominique 3 Hassani, Bertrand 3 Heiss, Florian 3 Winker, Peter 3 Ciccarelli, Matteo 2 Fang, Kai-Tai 2 Guillaume, Tristan 2 Holmberg, Pär 2 Judd, Kenneth L. 2 Kohn, Robert 2 Maliar, Lilia 2 Maliar, Serguei 2 Quiroz, Matias 2 Rebucci, Alessandro 2 Tsener, Inna 2 Varsányi, Zoltán 2 Villani, Mattias 2 Arapakis, Karolos 1 Baldeaux, Jan 1 Bernardo, Daniel J. 1 Brigo, Damiano 1 Chen, Huigang 1 Clinton, Kevin 1 Coulibaly, Nouhoun 1 Dette, Holger 1 El-Bachir, Naoufel 1 Fang, Kaitai 1 Feldkircher, Martin 1 Funke, Norbert 1 Fusaro, Michelangelo 1 Giribone, Pier Giuseppe 1 Gnewuch, Michael 1 Goda, Takashi 1 Gospodinov, Nikolay 1 Henrard, Marc 1
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Institution
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International Monetary Fund (IMF) 6 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 5 HAL 4 Centre d'Économie de la Sorbonne, Université Paris 1 (Panthéon-Sorbonne) 1 Fachbereich Wirtschaftswissenschaften, Universität Konstanz 1 Finance Discipline Group, Business School 1 Frankfurt School of Finance and Management 1 Henley Business School, University of Reading 1 Industrial Relations Section, Department of Economics 1 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Magyar Nemzeti Bank (MNB) 1 Nationalekonomiska Institutionen, Uppsala Universitet 1 Tilburg University, Center for Economic Research 1 Tinbergen Instituut 1
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Published in...
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IMF Working Papers 6 MPRA Paper 4 Post-Print / HAL 3 CPQF Working Paper Series 2 Discussion paper / Tinbergen Institute 2 MNB Working Papers 2 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2 Tinbergen Institute Discussion Paper 2 Computational economics 1 Discussion Paper / Tilburg University, Center for Economic Research 1 Discussion Papers in Economics 1 Discussion Papers, Series II 1 Diskussionsbeiträge - Serie II 1 Documents de travail du Centre d'Economie de la Sorbonne 1 ICMA Centre Discussion Papers in Finance 1 Journal of Agricultural and Applied Economics 1 Journal of derivatives and quantitative studies : Seonmul yeongu 1 Les cahiers du GERAD 1 Munich Discussion Paper 1 Münchener Wirtschaftswissenschaftliche Beiträge : VWL ; discussion papers 1 Operations Research and Decisions 1 Quantitative Economics 1 Quantitative economics : QE ; journal of the Econometric Society 1 Research Paper Series / Finance Discipline Group, Business School 1 Risk management magazine 1 Stata Journal 1 Sveriges Riksbank Working Paper Series 1 Sveriges Riksbank working paper series 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Tinbergen Institute Discussion Papers 1 Working Paper 1 Working Paper Series / Nationalekonomiska Institutionen, Uppsala Universitet 1 Working Papers / HAL 1 Working Papers / Industrial Relations Section, Department of Economics 1 Working paper series / Centre for Practical Quantitative Finance 1 cemmap working paper 1
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Source
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RePEc 29 ECONIS (ZBW) 13 EconStor 11 BASE 1
Showing 1 - 10 of 54
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Analysis of numerical integration schemes for the Heston model : a case study based on the pricing of investment certificates
Fusaro, Michelangelo; Giribone, Pier Giuseppe; Tissone, … - In: Risk management magazine 18 (2023) 2, pp. 13-26
underlying and the one associated with variance. Consequently, it is essential to implement a numerical integration scheme that …
Persistent link: https://www.econbiz.de/10014383148
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Valuation of step-down knock-in in one stock linked security using numerical and Monte Carlo integration
Kim, GyeHong - In: Journal of derivatives and quantitative studies : … 31 (2023) 1, pp. 76-96
This paper shows a new methodology for evaluating the value and sensitivity of autocall knock-in type equity-linked securities. While the existing evaluation methods, Monte Carlo simulation and finite difference method, have limitations in underestimating the knock-in effect, which is one of the...
Persistent link: https://www.econbiz.de/10014226942
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A method to pre-compile numerical integrals when solving stochastic dynamic problems
Arapakis, Karolos - In: Computational economics 61 (2023) 2, pp. 593-610
Persistent link: https://www.econbiz.de/10014228454
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Construction-free median quasi-Monte Carlo rules for function spaces with unspecified smoothness and general weights
Goda, Takashi; L'Ecuyer, Pierre - 2022
Persistent link: https://www.econbiz.de/10013279838
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How to solve dynamic stochastic models computing expectations just once
Judd, Kenneth L.; Maliar, Lilia; Maliar, Serguei; … - In: Quantitative Economics 8 (2017) 3, pp. 851-893
We introduce a computational technique- precomputation of integrals - that makes it possible to construct conditional expectation functions in dynamic stochastic models in the initial stage of a solution procedure. This technique is very general: it works for a broad class of approximating...
Persistent link: https://www.econbiz.de/10011995505
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How to solve dynamic stochastic models computing expectations just once
Judd, Kenneth L.; Maliar, Lilia; Maliar, Serguei; … - In: Quantitative economics : QE ; journal of the … 8 (2017) 3, pp. 851-893
We introduce a computational technique- precomputation of integrals - that makes it possible to construct conditional expectation functions in dynamic stochastic models in the initial stage of a solution procedure. This technique is very general: it works for a broad class of approximating...
Persistent link: https://www.econbiz.de/10011801654
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Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model
Koopman, Siem Jan; Lit, Rutger; Lucas, Andre - 2015
We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...
Persistent link: https://www.econbiz.de/10011403534
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Speeding up MCMC by efficient data subsampling
Quiroz, Matias; Villani, Mattias; Kohn, Robert - 2015
The computing time for Markov Chain Monte Carlo (MCMC) algorithms can be prohibitively large for datasets with many observations, especially when the data density for each observation is costly to evaluate. We propose a framework where the likelihood function is estimated from a random subset of...
Persistent link: https://www.econbiz.de/10011442889
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Speeding up MCMC by efficient data subsampling
Quiroz, Matias; Villani, Mattias; Kohn, Robert - 2015
The computing time for Markov Chain Monte Carlo (MCMC) algorithms can be prohibitively large for datasets with many observations, especially when the data density for each observation is costly to evaluate. We propose a framework where the likelihood function is estimated from a random subset of...
Persistent link: https://www.econbiz.de/10010500806
Saved in:
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Intraday stochastic volatility in discrete price changes : the dynamic Skellam model
Koopman, Siem Jan; Lit, Rutger; Lucas, André - 2015
We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...
Persistent link: https://www.econbiz.de/10011295740
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