Stochastic Finance

by ;
Edition: 3rd
Format: Paperback
Pub. Date: 2011-01-15
Publisher(s): INGRAM
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Summary

This is the third, revised and extended edition of the classical introduction to the mathematics of finance, based on stochastic models in discrete time. In the first part of the book simple one-period models are studied, in the second part the idea of dynamic hedging of contingent claims is developed in a multiperiod framework. Due to the strong appeal and wide use of this book, it is now available as a textbook with exercises. It will be of value for a broad community of students and researchers. It may serve as basis for graduate courses and be also interesting for those who work in the financial industry and want to get an idea about the mathematical methods of risk assessment.

Author Biography

Hans Fllmer Professor emeritus at Humboldt University Berlin Alexander Schied Professor at University of Mannheim

Table of Contents

Preface to the third editionp. v
Preface to the second editionp. vi
Preface to the first editionp. vii
Mathematical finance in one periodp. 1
Arbitrage theoryp. 3
Assets, portfolios, and arbitrage opportunitiesp. 3
Absence of arbitrage and martingale measuresp. 7
Derivative securitiesp. 16
Complete market modelsp. 27
Geometric characterization of arbitrage-free modelsp. 33
Contingent initial datap. 37
Preferencesp. 50
Preference relations and their numerical representationp. 51
Von Neumann-Morgenstern representationp. 57
Expected utilityp. 67
Uniform preferencesp. 83
Robust preferences on asset profilesp. 94
Probability measures with given marginalsp. 113
Optimality and equilibriump. 121
Portfolio optimization and the absence of arbitragep. 121
Exponential utility and relative entropyp. 130
Optimal contingent claimsp. 139
Optimal payoff profiles for uniform preferencesp. 148
Robust utility maximizationp. 151
Microeconomic equihbriump. 159
Monetary measures of riskp. 175
Risk measures and their acceptance setsp. 176
Robust representation of convex risk measuresp. 186
Convex risk measures on L∞p. 199
Value at Riskp. 207
Law-invariant risk measuresp. 213
Concave distortionsp. 219
Comonotonic risk measuresp. 228
Measures of risk in a financial marketp. 236
Utility-based shortfall risk and divergence risk measuresp. 246
Dynamic hedgingp. 259
Dynamic arbitrage theoryp. 261
The multi-period market modelp. 261
Arbitrage opportunities and martingale measuresp. 266
European contingent claimsp. 274
Complete marketsp. 287
The binomial modelp. 290
Exotic derivativesp. 296
Convergence to the Black-Scholes pricep. 302
American contingent claimsp. 321
Hedging strategies for the sellerp. 321
Stopping strategies for the buyerp. 327
Arbitrage-free pricesp. 337
Stability under pastingp. 342
Lower and upper Snell envelopesp. 347
Superhedgingp. 354
P-supermartingalesp. 354
Uniform Doob decompositionp. 356
Superhedging of American and European claimsp. 359
Superhedging with liquid optionsp. 368
Efficient hedgingp. 380
Quantile hedgingp. 380
Hedging with minimal shortfall riskp. 387
Efficient hedging with convex risk measuresp. 396
Hedging under constraintsp. 404
Absence of arbitrage opportunitiesp. 404
Uniform Doob decompositionp. 412
Upper Snell envelopesp. 417
Superhedging and risk measuresp. 424
Minimizing the hedging errorp. 428
Local quadratic riskp. 428
Minimal martingale measuresp. 438
Variance-optimal hedgingp. 449
Dynamic risk measuresp. 456
Conditional risk measures and their robust representationp. 456
Time consistencyp. 465
Appendixp. 476
Convexityp. 476
Absolutely continuous probability measuresp. 480
Quantile functionsp. 484
The Neyman-Pearson lemmap. 493
The essential supremum of a family of random variablesp. 496
Spaces of measuresp. 497
Some functional analysisp. 507
Notesp. 512
Bibliographyp. 517
List of symbolsp. 533
Indexp. 535
Table of Contents provided by Ingram. All Rights Reserved.

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