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Pricing in (In)Complete Markets: Structural Analysis and Applications: Lecture Notes in Economics and Mathematical Systems, cartea 537

Autor Angelika Esser
en Limba Engleză Paperback – 23 ian 2004
In this book, the authors investigate structural aspects of no arbitrage pricing of contingent claims and applications of the general pricing theory in the context of incomplete markets. A quasi-closed form pricing equation in terms of artificial probabilities is derived for arbitrary payoff structures. Moreover, a comparison between continuous and discrete models is presented, highlighting the major similarities and key differences. As applications, two sources of market incompleteness are considered, namely stochastic volatility and stochastic liquidity. Firstly, the general theory discussed before is applied to the pricing of power options in a stochastic volatility model. Secondly, the issue of liquidity risk is considered by focusing on the aspect of how asset price dynamics are affected by the trading strategy of a large investor.
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Specificații

ISBN-13: 9783540208174
ISBN-10: 3540208178
Pagini: 140
Ilustrații: XI, 122 p. 2 illus.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:Softcover reprint of the original 1st ed. 2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Motivation and Overview.- 2 Pricing by Change of Measure and Numeraire.- 2.1 Introduction.- 2.2 Model Setup.- 2.3 Equivalent Measures.- 2.4 Derivation of a General Pricing Equation.- 2.5 Is Every Equivalent Measure a Martingale Measure?.- 2.6 Conclusion.- 3 Comparison of Discrete and Continuous Models.- 3.1 Introduction.- 3.2 Dynamics of the Underlying Processes.- 3.3 Model-Specific Change of Measure.- 3.4 Normalized Price Processes.- 3.5 Examples.- 3.6 Conclusion.- 4 Valuation of Power Options.- 4.1 Introduction.- 4.2 General Pricing Equation.- 4.3 Examples.- 4.4 Conclusion.- 5 Modeling Feedback Effects Using Stochastic Liquidity.- 5.1 Introduction.- 5.2 The Liquidity Framework.- 5.3 Examples.- 5.4 Conclusion.- 6 Summary and Outlook.- A Power Options in Stochastic Volatility Models.- A.1 Calculations of the Characteristic Functions.- A.2 Ornstein-Uhlenbeck Process for Volatility.- References.- Abbreviations.- List of Symbols.- List of Figures.- List of Tables.