TY  - BOOK
AU  - Föllmer,Hans
AU  - Schied,Alexander
TI  - Stochastic Finance: An Introduction in Discrete Time 
T2  - De Gruyter Textbook
SN  - 9783110463446
U1  - 332/.01/519232 21 
PY  - 2016///]
CY  - Berlin, Boston : 
PB  - De Gruyter, 
KW  - Probabilities
KW  - Stochastic analysis
KW  - Arbitragetheorie
KW  - Finanzmathematik
KW  - Hedge Fund
KW  - Stochastik
KW  - Stochastisches Modell
KW  - MATHEMATICS / Probability & Statistics / General
KW  - bisacsh
N1  - Frontmatter --; Preface to the fourth edition --; Preface to the third edition --; Preface to the second edition --; Preface to the first edition --; Contents --; Part I: Mathematical finance in one period --; 1. Arbitrage theory --; 2. Preferences --; 3. Optimality and equilibrium --; 4. Monetary measures of risk --; Part II: Dynamic hedging --; 5. Dynamic arbitrage theory --; 6. American contingent claims --; 7. Superhedging --; 8. Efficient hedging --; 9. Hedging under constraints --; 10. Minimizing the hedging error --; 11. Dynamic risk measures --; Appendix --; Bibliographical notes --; References --; List of symbols --; Index; restricted access
N2  - This book is an introduction to financial mathematics. It is intended for graduate students in mathematics and for researchers working in academia and industry.The focus on stochastic models in discrete time has two immediate benefits. First, the probabilistic machinery is simpler, and one can discuss right away some of the key problems in the theory of pricing and hedging of financial derivatives. Second, the paradigm of a complete financial market, where all derivatives admit a perfect hedge, becomes the exception rather than the rule. Thus, the need to confront the intrinsic risks arising from market incomleteness appears at a very early stage.The first part of the book contains a study of a simple one-period model, which also serves as a building block for later developments. Topics include the characterization of arbitrage-free markets, preferences on asset profiles, an introduction to equilibrium analysis, and monetary measures of financial risk.In the second part, the idea of dynamic hedging of contingent claims is developed in a multiperiod framework. Topics include martingale measures, pricing formulas for derivatives, American options, superhedging, and hedging strategies with minimal shortfall risk.This fourth, newly revised edition contains more than one hundred exercises. It also includes material on risk measures and the related issue of model uncertainty, in particular a chapter on dynamic risk measures and sections on robust utility maximization and on efficient hedging with convex risk measures. Contents:Part I: Mathematical finance in one periodArbitrage theoryPreferencesOptimality and equilibriumMonetary measures of riskPart II: Dynamic hedgingDynamic arbitrage theoryAmerican contingent claimsSuperhedgingEfficient hedgingHedging under constraintsMinimizing the hedging errorDynamic risk measures
UR  - https://doi.org/10.1515/9783110463453
UR  - https://www.degruyter.com/isbn/9783110463453
UR  - https://www.degruyter.com/cover/covers/9783110463453.jpg
ER  -