9780470744895 - Financial Modelling: Theory, Implementation and Practice (With Matlab Source) di Kienitz, Joerg; Wetterau, Daniel (20 risultati)

gebundene Ausgabe. Condizione: Gut. 719 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Text in ENGLISCHER Sprache! Sprache: Englisch Gewicht in Gramm: 1350.

Hardcover. Condizione: Good. 1st Edition. Hardcover, xiii + 719 pages, NOT ex-library. Weight: 1.4kg. Yellow highlighting on 3 pages; pencil marks on one page; faint grubby yellow marks in margins of a few leaves (not affecting the readability of text). Else interior is clean and bright, free of inscriptions and stamps, firmly bound. Grubby yellow marks on edges of a portion of leaves externally. Edgeworn dust jacket with a tear to lower front panel. -- Contents: Introduction; I Financial Markets and Popular Models 1 Financial Markets: Data, Basics and Derivatives [Introduction and Objectives; Financial Time-Series, Statistical Properties of Market Data and Invariants; Implied Volatility Surfaces and Volatility Dynamics; Applications; General Remarks on Notation; Summary and Conclusions; Appendix: Quotes] 2 Diffusion Models [Introduction and Objectives; Local Volatility Models; Stochastic Volatility Models; Stochastic Volatility and Stochastic Rates Models; Summary and Conclusions] 3 Models with Jumps [Introduction and Objectives; Poisson Processes and Jump Diffusions; Exponential Lévy Models; Other Models; Martingale Correction; Summary and Conclusions] 4 Multi-Dimensional Models [Introduction and Objectives; Multi-Dimensional Diffusions; Multi-Dimensional Heston and SABR Models; Parameter Averaging; Markovian Projection; Copulae; Multi-Dimensional Variance Gamma Processes; Summary and Conclusions]; II Numerical Methods and Recipes 5 Option Pricing by Transform Techniques and Direct Integration [Introduction and Objectives; Fourier Transform; Carr-Madan Method; Lewis Method; Attari Method; Convolution Method; Cosine Method; Comparison, Stability and Performance; Extending the Methods to Forward Start Options; Density Recovery; Summary and Conclusions] 6 Advanced Topics Using Transform Techniques [Introduction and Objectives; Pricing Non-Standard Vanilla Options; Bermudan and American Options; Cosine Method and Barrier Options; Greeks; Summary and Conclusions] 7 Monte Carlo Simulation and Applications [Introduction and Objectives; Sampling Diffusion Processes; Special Purpose Schemes; Adding Jumps; Bridge Sampling; Libor Market Model; Multi-Dimensional Lévy Models; Copulae; Summary and Conclusions] 8 Monte Carlo Simulation: Advanced Issues [Introduction and Objectives; Monte Carlo and Early Exercise; Greeks with Monte Carlo; Euler Schemes and General Greeks; Application to Trigger Swap; Summary and Conclusions; Appendix: Trees] 9 Calibration and Optimization [Introduction and Objectives; Nelder-Mead Method; Levenberg-Marquardt Method; L-BFGS Method; SQP Method; Differential Evolution; Simulated Annealing; Summary and Conclusions] 10 Model Risk: Calibration, Pricing and Hedging [Introduction and Objectives; Calibration; Pricing Exotic Options; Hedging; Summary and Conclusions]; III Implementation, Software Design and Mathematics 11 Matlab: Basics [Introduction and Objectives; General Remarks; Matrices, Vectors and Cell Arrays; Functions and Function Handles; Toolboxes; Useful Functions and Methods; Plotting; Summary and Conclusions] 12 Matlab: Object Oriented Development [Introduction and Objectives; Matlab OO Model; A Model Class Hierarchy; A Pricer Class Hierarchy; An Optimizer Class Hierarchy; Design Patterns; Example: Calibration Engine; Example: The Libor Market Model and Greeks; Summary and Conclusions] 13 Math Fundamentals [Introduction and Objectives; Probability Theory and Stochastic Processes; Numerical Methods for Stochastic Processes; Basics on Complex Analysis; Characteristic Function and Fourier Transform; Summary and Conclusions]; List of Figures; List of Tables; Bibliography; Index.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condizione: New.

Hardcover. Condizione: new. Hardcover. Financial modelling Theory, Implementation and Practice with MATLAB Source Joerg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source 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 financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Levy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, * The book enables the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. * The book enables the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. Series: Wiley Finance Series. Num Pages: 734 pages, Illustrations. BIC Classification: KFF. Category: (P) Professional & Vocational. Dimension: 249 x 176 x 45. Weight in Grams: 1386. . 2013. 1st Edition. Hardcover. . . . .

Condizione: New.

Hardcover. Condizione: new. Hardcover. Financial modelling Theory, Implementation and Practice with MATLAB Source Joerg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source 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 financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Levy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, * The book enables the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. * The book enables the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. Series: Wiley Finance Series. Num Pages: 734 pages, Illustrations. BIC Classification: KFF. Category: (P) Professional & Vocational. Dimension: 249 x 176 x 45. Weight in Grams: 1386. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Condizione: New. Joerg Kienitz is head of Quantitative Analytics at Deutsche Postbank AG. He is primarily involved in developing and implementing models for pricing complex derivatives structures and for asset allocation. He also lectures at university level on advanced fina.

Hardcover. Condizione: new. Hardcover. Financial modelling Theory, Implementation and Practice with MATLAB Source Joerg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source 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 financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Levy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, * The book enables the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Neuware - This book will enable the reader to model, design and implement a range of financial models for derivatives pricing and asset allocation. The book will provide practitioners with the complete financial modeling workflow, from model choice, deriving (semi-) analytic approximate prices and Greeks even for exotic options. Such methods can be used for calibration to market data. Furthermore, Monte Carlo simulation techniques are covered which can be applied to multi-dimensional and path dependent options or some asset allocation problems.Equity/Equity-Interest Rate Hybrid models, Interest Rate models and Asset Allocation are used as examples showing specific models with analysis of their features. The authors then go on to show how to price simple options and how to calibrate the models to real life market data and finally they discuss the pricing of exotic options. At the end of these sections the reader will be able to use the techniques discussed for equity derivatives and interest rate models in other areas of finance such as foreign exchange and inflation.The models discussed for derivatives pricing are:\* Heston / Bates Model\* Local/Stochastic Volatility Models (DD, CEV, DDHeston)\* Lévy Models (Variance-Gamma, Normal Inverse Gaussian)\* Heston -- Hull -- White Model\* Libor Market Model\* SABR Model\* Lévy Models with Stochastic VolatilityThe methods which are discusses\* Direct Integration methods+\* Methods based on Fourier Transform\* Monte Carlo Simulation\* Local and Global OptimizationThe models discussed for asset allocation are:\* Markowitz Model\* Black-Litterman Model\* Copula Models\* CVaR numerical optimizationSource code for all the examples is provided with implementation in Matlab.

Hardcover. Condizione: Brand New. 1st edition. 734 pages. 9.61x6.61x6.61 inches. In Stock.

Condizione: new.