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|2 23
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|a MAIN
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|a Kienitz, Joerg.
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|a Financial modelling
|h [electronic resource] :
|b theory, implementation and practice (with Matlab source) /
|c Joerg Kienitz, Daniel Wetterau.
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|a Financial modeling
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|a Chichester, West Sussex, UK :
|b John Wiley & Sons Ltd,
|c 2012.
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a data file
|2 rda
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|a Bibliography
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|a Wiley finance
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a Financial Modelling; Contents; Introduction; 1 Introduction and Management Summary; 2 Why We Have Written this Book; 3 Why You Should Read this Book; 4 The Audience; 5 The Structure of this Book; 6 What this Book Does Not Cover; 7 Credits; 8 Code; PART I FINANCIAL MARKETS AND POPULAR MODELS; 1 Financial Markets -- Data, Basics and Derivatives; 1.1 Introduction and Objectives; 1.2 Financial Time-Series, Statistical Properties of Market Data and Invariants; 1.2.1 Real World Distribution; 1.3 Implied Volatility Surfaces and Volatility Dynamics; 1.3.1 Is There More than just a Volatility?
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|a 1.3.2 Implied Volatility1.3.3 Time-Dependent Volatility; 1.3.4 Stochastic Volatility; 1.3.5 Volatility from Jumps; 1.3.6 Traders' Rule of Thumb; 1.3.7 The Risk Neutral Density; 1.4 Applications; 1.4.1 Asset Allocation; 1.4.2 Pricing, Hedging and Risk Management; 1.5 General Remarks on Notation; 1.6 Summary and Conclusions; 1.7 Appendix -- Quotes; 2 Diffusion Models; 2.1 Introduction and Objectives; 2.2 Local Volatility Models; 2.2.1 The Bachelier and the Black-Scholes Model; 2.2.2 The Hull-White Model; 2.2.3 The Constant Elasticity of Variance Model; 2.2.4 The Displaced Diffusion Model.
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|a 2.2.5 CEV and DD Models2.3 Stochastic Volatility Models; 2.3.1 Pricing European Options; 2.3.2 Risk Neutral Density; 2.3.3 The Heston Model (and Extensions); 2.3.4 The SABR Model; 2.3.5 SABR -- Further Remarks; 2.4 Stochastic Volatility and Stochastic Rates Models; 2.4.1 The Heston-Hull-White Model; 2.5 Summary and Conclusions; 3 Models with Jumps; 3.1 Introduction and Objectives; 3.2 Poisson Processes and Jump Diffusions; 3.2.1 Poisson Processes; 3.2.2 The Merton Model; 3.2.3 The Bates Model; 3.2.4 The Bates-Hull-White Model; 3.3 Exponential Lévy Models; 3.3.1 The Variance Gamma Model.
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|a 3.3.2 The Normal Inverse Gaussian Model3.4 Other Models; 3.4.1 Exponential Lévy Models with Stochastic Volatility; 3.4.2 Stochastic Clocks; 3.5 Martingale Correction; 3.6 Summary and Conclusions; 4 Multi-Dimensional Models; 4.1 Introduction and Objectives; 4.2 Multi-Dimensional Diffusions; 4.2.1 GBM Baskets; 4.2.2 Libor Market Models; 4.3 Multi-Dimensional Heston and SABR Models; 4.3.1 Stochastic Volatility Models; 4.4 Parameter Averaging; 4.4.1 Applications to CMS Spread Options; 4.5 Markovian Projection; 4.5.1 Baskets with Local Volatility.
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|a 4.5.2 Markovian Projection on Local Volatility and Heston Models4.5.3 Markovian Projection onto DD SABR Models; 4.6 Copulae; 4.6.1 Measures of Concordance and Dependency; 4.6.2 Examples; 4.6.3 Elliptical Copulae; 4.6.4 Archimedean Copulae; 4.6.5 Building New Copulae from Given Copulae; 4.6.6 Asymmetric Copulae; 4.6.7 Applying Copulae to Option Pricing; 4.6.8 Applying Copulae to Asset Allocation; 4.7 Multi-Dimensional Variance Gamma Processes; 4.8 Summary and Conclusions; PART II NUMERICAL METHODS AND RECIPES; 5 Option Pricing by Transform Techniques and Direct Integration.
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|a Financial Modelling - Theory, Implementation and Practice is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi- ) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers f.
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|a MATLAB.
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|a MATLAB.
|2 fast
|0 (OCoLC)fst01365096
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650 |
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|a Finance
|x Mathematical models.
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|a Numerical analysis.
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650 |
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|a Finance
|x Mathematical models
|x Computer programs.
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650 |
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|a Numerical analysis
|x Computer programs.
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4 |
|a Finance
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650 |
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4 |
|a Finance
|x Mathematical models
|x Computer programs.
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4 |
|a MATLAB.
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650 |
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4 |
|a Numerical analysis
|x Computer programs.
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650 |
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7 |
|a BUSINESS & ECONOMICS
|x Finance.
|2 bisacsh
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650 |
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7 |
|a Finance
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00924398
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650 |
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7 |
|a Finance
|x Mathematical models
|x Computer programs.
|2 fast
|0 (OCoLC)fst00924399
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650 |
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|a Numerical analysis.
|2 fast
|0 (OCoLC)fst01041273
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|a Numerical analysis
|x Computer programs.
|2 fast
|0 (OCoLC)fst01041276
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|a Electronic books.
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|a Electronic books.
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|a Electronic books.
|2 local
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700 |
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|a Wetterau, Daniel,
|d 1981-
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776 |
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|i Print version:
|a Kienitz, Joerg.
|t Financial modelling.
|d Hoboken, N.J. : Wiley, 2012
|z 9780470744895
|w (DLC) 2012029238
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830 |
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0 |
|a Wiley finance series.
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856 |
4 |
0 |
|u https://doi.org/10.1002/9781118818565
|z Full Text via HEAL-Link
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|a 92
|b DG1
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