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  • 1
    Online-Ressource
    Online-Ressource
    Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics (2014)
    Hoboken, New Jersey :John Wiley & Sons,
    Details
    UID:
    almafu_9959328260602883
    Umfang: 1 online resource
    ISBN: 9781118594513 , 1118594517 , 9781118593646 , 1118593642 , 9781118593615 , 1118593618 , 9781118593264 , 111859326X , 0470531118 , 9780470531112 , 9781306892957 , 1306892953
    Serie: Financial engineering and econometrics
    Inhalt: An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to.
    Anmerkung: Half Title page; Title page; Copyright page; Preface; Part One: Overview and Motivation; Chapter One: Introduction to Monte Carlo Methods; 1.1 Historical origin of Monte Carlo simulation; 1.2 Monte Carlo simulation vs. Monte Carlo sampling; 1.3 System dynamics and the mechanics of Monte Carlo simulation; 1.4 Simulation and optimization; 1.5 Pitfalls in Monte Carlo simulation; 1.6 Software tools for Monte Carlo simulation; 1.7 Prerequisites; For further reading; References; Chapter Two: Numerical Integration Methods; 2.1 Classical quadrature formulas; 2.2 Gaussian quadrature. , 2.3 Extension to higher dimensions: Product rules2.4 Alternative approaches for high-dimensional integration; 2.5 Relationship with moment matching; 2.6 Numerical integration in R; For further reading; References; Part Two: Input Analysis: Modeling and Estimation; Chapter Three: Stochastic Modeling in Finance and Economics; 3.1 Introductory examples; 3.2 Some common probability distributions; 3.3 Multivariate distributions: Covariance and correlation; 3.4 Modeling dependence with copulas; 3.5 Linear regression models: A probabilistic view; 3.6 Time series models. , 3.7 Stochastic differential equations3.8 Dimensionality reduction; 3.9 Risk-neutral derivative pricing; For further reading; References; Chapter Four: Estimation and Fitting; 4.1 Basic inferential statistics in R; 4.2 Parameter estimation; 4.3 Checking the fit of hypothetical distributions; 4.4 Estimation of linear regression models by ordinary least squares; 4.5 Fitting time series models; 4.6 Subjective probability: The Bayesian view; For further reading; References; Part Three: Sampling and Path Generation; Chapter Five: Random Variate Generation. , 5.1 The structure of a Monte Carlo simulation5.2 Generating pseudorandom numbers; 5.3 The inverse transform method; 5.4 The acceptance-rejection method; 5.5 Generating normal variates; 5.6 Other ad hoc methods; 5.7 Sampling from copulas; For further reading; References; Chapter Six: Sample Path Generation for Continuous-Time Models; 6.1 Issues in path generation; 6.2 Simulating geometric Brownian motion; 6.3 Sample paths of short-term interest rates; 6.4 Dealing with stochastic volatility; 6.5 Dealing with jumps; For further reading; References. , Part Four: Output Analysis and Efficiency ImprovementChapter Seven: Output Analysis; 7.1 Pitfalls in output analysis; 7.2 Setting the number of replications; 7.3 A world beyond averages; 7.4 Good and bad news; For further reading; References; Chapter Eight: Variance Reduction Methods; 8.1 Antithetic sampling; 8.2 Common random numbers; 8.3 Control variates; 8.4 Conditional Monte Carlo; 8.5 Stratified sampling; 8.6 Importance sampling; For further reading; References; Chapter Nine: Low-Discrepancy Sequences; 9.1 Low-discrepancy sequences; 9.2 Halton sequences.
    Weitere Ausg.: Print version: Brandimarte, Paolo. Handbook in Monte Carlo simulation. Hoboken, New Jersey : John Wiley & Sons, [2014] ISBN 9780470531112
    Sprache: Englisch
    Schlagwort(e): Electronic books. ; Electronic books. ; Electronic books. ; Electronic books.
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118593264
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118593264
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118593264
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    HU Berlin
    FU Berlin
  • 2
    Online-Ressource
    Online-Ressource
    Handbook in Monte Carlo Simulation : applications in financial engineering, risk management, and economics (2014)
    Hoboken, NJ :Wiley,
    Details
    UID:
    almafu_BV043396428
    Umfang: 1 Online-Ressource (XVII, 662 S.) : , graph. Darst.
    ISBN: 978-1-118-59326-4 , 1-118-59326-X
    Serie: Wiley handbooks in financial engineering and econometrics
    Inhalt: An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics.
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-0-470-53111-2
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, EPUB ISBN 978-1-118-59451-3
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, EPUB ISBN 1-118-59451-7
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, PDF ISBN 978-1-118-59364-6
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, PDF ISBN 1-118-59364-2
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, MOBI ISBN 978-1-118-59361-5
    Weitere Ausg.: Erscheint auch als Online-Ausgabe, MOBI ISBN 1-118-59361-8
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    QH 239
    RVK:
    SK 820
    Schlagwort(e): Monte-Carlo-Simulation
    DOI: 10.1002/9781118593264
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Online Zugang
    Open Access Wunsch
    FU Berlin
    BTU Cottbus
  • 3
    Online-Ressource
    Online-Ressource
    Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics (2014)
    Hoboken, New Jersey :Wiley,
    Details
    UID:
    almahu_9948319141802882
    Umfang: 1 online resource (685 pages) : , illustrations.
    ISBN: 9781118593646 (e-book)
    Serie: Wiley Handbooks in Financial Engineering and Econometrics
    Weitere Ausg.: Print version: Brandimarte, Paolo. Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics. Hoboken, New Jersey : Wiley, c2014 ISBN 9780470531112
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    URL: Click to View
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    HU Berlin
  • 4
    Online-Ressource
    Online-Ressource
    Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics (2014)
    Hoboken, New Jersey :John Wiley & Sons,
    Details
    UID:
    almahu_9948198191802882
    Umfang: 1 online resource
    ISBN: 9781118594513 , 1118594517 , 9781118593646 , 1118593642 , 9781118593615 , 1118593618 , 9781118593264 , 111859326X , 0470531118 , 9780470531112 , 9781306892957 , 1306892953
    Inhalt: An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to.
    Anmerkung: Half Title page; Title page; Copyright page; Preface; Part One: Overview and Motivation; Chapter One: Introduction to Monte Carlo Methods; 1.1 Historical origin of Monte Carlo simulation; 1.2 Monte Carlo simulation vs. Monte Carlo sampling; 1.3 System dynamics and the mechanics of Monte Carlo simulation; 1.4 Simulation and optimization; 1.5 Pitfalls in Monte Carlo simulation; 1.6 Software tools for Monte Carlo simulation; 1.7 Prerequisites; For further reading; References; Chapter Two: Numerical Integration Methods; 2.1 Classical quadrature formulas; 2.2 Gaussian quadrature. , 2.3 Extension to higher dimensions: Product rules2.4 Alternative approaches for high-dimensional integration; 2.5 Relationship with moment matching; 2.6 Numerical integration in R; For further reading; References; Part Two: Input Analysis: Modeling and Estimation; Chapter Three: Stochastic Modeling in Finance and Economics; 3.1 Introductory examples; 3.2 Some common probability distributions; 3.3 Multivariate distributions: Covariance and correlation; 3.4 Modeling dependence with copulas; 3.5 Linear regression models: A probabilistic view; 3.6 Time series models. , 3.7 Stochastic differential equations3.8 Dimensionality reduction; 3.9 Risk-neutral derivative pricing; For further reading; References; Chapter Four: Estimation and Fitting; 4.1 Basic inferential statistics in R; 4.2 Parameter estimation; 4.3 Checking the fit of hypothetical distributions; 4.4 Estimation of linear regression models by ordinary least squares; 4.5 Fitting time series models; 4.6 Subjective probability: The Bayesian view; For further reading; References; Part Three: Sampling and Path Generation; Chapter Five: Random Variate Generation. , 5.1 The structure of a Monte Carlo simulation5.2 Generating pseudorandom numbers; 5.3 The inverse transform method; 5.4 The acceptance-rejection method; 5.5 Generating normal variates; 5.6 Other ad hoc methods; 5.7 Sampling from copulas; For further reading; References; Chapter Six: Sample Path Generation for Continuous-Time Models; 6.1 Issues in path generation; 6.2 Simulating geometric Brownian motion; 6.3 Sample paths of short-term interest rates; 6.4 Dealing with stochastic volatility; 6.5 Dealing with jumps; For further reading; References. , Part Four: Output Analysis and Efficiency ImprovementChapter Seven: Output Analysis; 7.1 Pitfalls in output analysis; 7.2 Setting the number of replications; 7.3 A world beyond averages; 7.4 Good and bad news; For further reading; References; Chapter Eight: Variance Reduction Methods; 8.1 Antithetic sampling; 8.2 Common random numbers; 8.3 Control variates; 8.4 Conditional Monte Carlo; 8.5 Stratified sampling; 8.6 Importance sampling; For further reading; References; Chapter Nine: Low-Discrepancy Sequences; 9.1 Low-discrepancy sequences; 9.2 Halton sequences.
    Weitere Ausg.: Print version: Brandimarte, Paolo. Handbook in Monte Carlo simulation. Hoboken, New Jersey : John Wiley & Sons, [2014] ISBN 9780470531112
    Sprache: Englisch
    Schlagwort(e): Electronic books. ; Electronic books.
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118593264
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    HU Berlin
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