Muutke küpsiste eelistusi

Modelling Financial Derivatives with MATHEMATICA ® [Kõva köide]

(Oxford Systems Solutions)
  • Formaat: Hardback, 550 pages, kõrgus x laius x paksus: 255x193x33 mm, kaal: 1422 g, 30 Tables, unspecified; 85 Line drawings, unspecified
  • Ilmumisaeg: 10-Dec-1998
  • Kirjastus: Cambridge University Press
  • ISBN-10: 052159233X
  • ISBN-13: 9780521592338
  • Kõva köide
  • Hind: 274,60 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Hardback, 550 pages, kõrgus x laius x paksus: 255x193x33 mm, kaal: 1422 g, 30 Tables, unspecified; 85 Line drawings, unspecified
  • Ilmumisaeg: 10-Dec-1998
  • Kirjastus: Cambridge University Press
  • ISBN-10: 052159233X
  • ISBN-13: 9780521592338
CD plus book for financial modelling, requires Mathematica 3 or 2.2; runs on most platforms.

One of the most important tasks in finance is to find good mathematical models for financial products, in particular derivatives. However, the more realistic the model, the more practitioners face still-unsolved problems in rigorous mathematics and econometrics, in addition to serious numerical difficulties. The idea behind this book is to use Mathematica® to provide a wide range of exact benchmark models against which inexact models can be tested and verified. In so doing, the author is able to explain when models and numerical schemes can be relied on, and when they can't. Benchmarking is also applied to Monte Carlo simulations. Mathematica's graphical and animation capabilities are exploited to show how a model's characteristics can be visualized in two and three dimensions. The models described are all available on an accompanying CD that runs on most Windows, Unix and Macintosh platforms; to be able fully to use the software, Mathematica 3 is required, although certain features are usable with Mathematica 2.2. This product will prove of inestimable worth for financial instrument valuation and hedging, checking existing models and for analyzing derivatives; it can be used for professional or training purposes in financial institutions or universities, and in MBA courses.

Arvustused

'Shaw's book has the originality to present the standard mathematics of financial derivatives within a SAC [ symbolic and algebraic computation]-assisted framework ... So, should we all become SAC experts? For many, the answer will probably be yes There are many useful examples that it will often be a case of looking for the instrument most closely related to the desired one, and adapting the example code as required Shaw's book is definitely worth looking at for a few days to get a feel for the ideas and advantages that lie away from the traditional programming approaches - and then could be a strong basis for a longer-term view of the subject.' Gabriele Susinno and Chris Shortland, RISK Magazine

Muu info

CD plus book for financial modelling, requires Mathematica 3 or 2.2; runs on most platforms.
Preface vi
1 Advanced Tools for Rocket Science
1(11)
2 An Introduction to Mathematica
12(56)
3 Mathematical Finance Preliminaries
68(17)
4 Mathematical Preliminaries
85(42)
5 Log and Power Contracts
127(9)
6 Binary Options and the Normal Distribution
136(15)
7 Vanilla European Calls and Puts
151(16)
8 Barrier Options -- a Case Study in Rapid Development
167(22)
9 Analytical Models of Lookbacks
189(11)
10 Vanilla Asian Options -- Analytical Methods
200(15)
11 Vanilla American Options -- Analytical Methods
215(22)
12 Double Barrier, Compound, Quanto Options and Other Exotics
237(21)
13 The Discipline of the Greeks and Overview of Finite-Difference Schemes
258(8)
14 Finite-Difference Schemes for the Diffusion Equation with Smooth Initial Conditions
266(13)
15 Finite-Difference Schemes for the Black-Scholes Equation with Non-smooth Payoff Initial Conditions
279(27)
16 SOR and PSOR Schemes for the Three-Time-Level Douglas Scheme and Application to American Options
306(25)
17 Linear Programming Alternatives to PSOR and Regression
331(13)
18 Traditional and Supersymmetric Trees
344(19)
19 Tree Implementation in Mathematica and Basic Tree Pathology
363(24)
20 Turbo-charged Trees with the Mathematica Compiler
387(13)
21 Monte Carlo and Wozniakowski Sampling
400(20)
22 Basic Applications of Monte Carlo
420(17)
23 Monte Carlo Simulation of Basket Options
437(17)
24 Getting Jumpy over Dividends
454(16)
25 Simple Deterministic and Stochastic Interest-Rate Models
470(12)
26 Building Yield Curves from Market Data
482(22)
27 Simple Interest Rate Options
504(11)
28 Modelling Volatility by Elasticity
515(19)
Index 534