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Zusatztext
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<p>In the 2<sup>nd</sup> edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility.</p><p>In the 3<sup>rd</sup> printing of the 2<sup>nd</sup> edition, the second Chapter on discrete-time markets has been extensively revised. Proofs of several results are simplified and completely new sections on optimal stopping problems and Dynkin games are added. Applications to the valuation and hedging of American-style and game options are presented in some detail.</p><p>The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be basedon the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.</p>
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Kurztext
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This thoroughly revised second edition includes a brand new chapter devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility.
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Autorenportrait
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Detailansicht
Martingale Methods in Financial Modelling
eBook - Stochastic Modelling and Applied Probability
ISBN/EAN: 9783540266532
Umbreit-Nr.: 1670331
Sprache:
Englisch
Umfang: 638 S., 5.85 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 20.01.2006
Auflage: 2/2006
E-Book
Format: PDF
DRM: Digitales Wasserzeichen