Gopinath Kallianpur, Rajeeva L. Karandikar

Introduction to Option Pricing Theory (eBook, PDF)

• Format: PDF

Produktbeschreibung

[SEE ATTACHED FOR COMPLETE TEXT] In recent years stochastic processes have assumed an increasingly important role in the development of the mathematical theory of finance. This self-contained work examines that part of stochastic finance pertaining to option pricing theory. Thus the exposition is confined to areas of stochastic finance that are relevant to the theory, omitting such topics as futures and term-structure. Key features of this work include: * accessible to readers with little or no prior knowledge of stochastic processes or stochastic analysis, * five introductory chapters on stochastic analysis, followed by

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Birkhäuser Boston
• Seitenzahl: 269
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461205111
• Artikelnr.: 44195028

Inhaltsangabe

1 Stochastic Integration.- 1.1 Notation and definitions.- 1.2 The predictable ? field.- 1.3 The Itô integral.- 1.4 Quadratic variation of a continuous martingale.- 1.5 The stochastic integral w.r.t. continuous local martingales.- 1.6 Stochastic integral w.r.t. continuous semimartingales.- 1.7 Integration w.r.t. semimartingales.- 2 Itô's Formula and its Applications.- 2.1 Preliminaries.- 2.2 Itô's formula for continuous semimartingales.- 2.3 Itô's formula for r.c.l.l. semimartingales.- 2.4 Applications.- 2.5 Application to geometric Brownian motion.- 2.6 Local time and the Tanaka formula.- 2.7 Brownian motion and the heat equation.- 3 Representation of Square Integrable Martingales.- 3.1 The Itô representation.- 3.2 The Kunita-Watanabe representation.- 4 Stochastic Differential Equations.- 4.1 Preliminaries.- 4.2 Existence and uniqueness of solutions.- 4.3 The Feynman-Kac formula.- 4.4 The Ornstein-Uhlenbeck process (O.U.P).- 5 Girsanov's Theorem.- 5.1 Auxiliary results.- 5.2 Girsanov's Theorem.- 6 Option Pricing in Discrete Time.- 6.1 Arbitrage opportunities.- 6.2 Option pricing: an example.- 6.3 European call option.- 6.4 Complete markets.- 6.5 The American option.- 7 Introduction to Continuous Time Trading.- 7.1 Introduction.- 7.2 A general model.- 7.3 Trading strategies and arbitrage opportunities.- 7.4 Examples.- 7.5 Contingent claims and complete markets.- 8 Arbitrage and Equivalent Martingale Measures.- 8.1 Introduction.- 8.2 Necessary and sufficient conditions for NA.- 8.3 A general model of stock prices.- 8.4 The separation theorem.- 8.5 Orlicz spaces.- 8.6 No arbitrage with controlled risk.- 8.7 Fractional Brownian motion (1/29.1 Definition.- 9.2 Representation of martingales.- 9.3 Examples of complete markets.- 9.4 Equivalent martingale measures.- 9.5 Incomplete markets.- 9.6 Completeness and underlying filtration.- 10 Black and Scholes Theory.- 10.1 Preliminaries.- 10.2 The Black-Scholes PDE.- 10.3 Explicit solution of the Black-Scholes PDE.- 10.4 The Black-Scholes formula.- 10.5 Diffusion model.- 11 Discrete Approximations.- 11.1 The binomial model.- 11.2 A binomial Feynman-Kac formula.- 11.3 Approximation of the Black-Scholes PDE.- 11.4 Approximation to the Black-Scholes fonnula.- 12 The American Options.- 12.1 Model.- 12.2 Upper and lower bounds.- 12.3 American claims in complete markets.- 13 Asset Pricing with Stochastic Volatility.- 13.1 Introduction.- 13.2 Incompleteness of the market.- 13.3 Asymptotic analysis for models with two scales.- 13.4 Filtering of the stochastic volatility.- 13.5 PDE whenSis observed.- 14 The Russian Options.- 14.1 Introduction and background.- 14.2 The Russian put option.- 14.3 A free boundary problem for the put option.- 14.4 Proofs of the lemmas.- 14.5 The Russian call option (or the option for selling short).- 14.6 The F.B.P. for the call option.- References.