ISBN: 9780470744895 - financial modelling: theory, implementation and practice with matlab source (the wiley finance series) (10 Ergebnisse)

gebundene Ausgabe. Zustand: 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.…

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: as new. Wie neu/Like new.

Zustand: New. In English.

Zustand: New. pp. 734.

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

Buch. Zustand: 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.…