1.

Record Nr.

UNINA9910464771303321

Autore

Gan Guojun <1979->

Titolo

Measure, probability, and mathematical finance : a problem oriented approach / / Guojun Gan, Chaoqun Ma, Hong Xie

Pubbl/distr/stampa

Hoboken, New Jersey : , : Wiley, , 2014

©2014

ISBN

1-118-83198-5

1-118-83757-6

Edizione

[1st edition]

Descrizione fisica

1 online resource (741 p.)

Disciplina

332.01/5195

Soggetti

Finance - Mathematical models

Social sciences - Research - Statistical methods

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

MEASURE, PROBABILITY, AND MATHEMATICAL FINANCE: A Problem-Oriented Approach; Copyright; CONTENTS; Preface; Financial Glossary; PART I MEASURE THEORY; 1 Sets and Sequences; 1.1 Basic Concepts and Facts; 1.2 Problems; 1.3 Hints; 1.4 Solutions; 1.5 Bibliographic Notes; 2 MEASURES; 2.1 Basic Concepts and Facts; 2.2 Problems; 2.3 Hints; 2.4 Solutions; 2.5 Bibliographic Notes; 3 EXTENSION OF MEASURES; 3.1 Basic Concepts and Facts; 3.2 Problems; 3.3 Hints; 3.4 Solutions; 3.5 Bibliographic Notes; 4 LEBESGUE-STIELT JES MEASURES; 4.1 Basic Concepts and Facts; 4.2 Problems; 4.3 Hints; 4.4 Solutions

4.5 Bibliographic Notes5 MEASURABLE FUNCTIONS; 5.1 Basic Concepts and Facts; 5.2 Problems; 5.3 Hints; 5.4 Solutions; 5.5 Bibliographic Notes; 6 LEBESGUE INTEGRATION; 6.1 Basic Concepts and Facts; 6.2 Problems; 6.3 Hints; 6.4 Solutions; 6.5 Bibliographic Notes; 7 THE RADON-NIKODYM THEOREM; 7.1 Basic Concepts and Facts; 7.2 Problems; 7.3 Hints; 7.4 Solutions; 7.5 Bibliographic Notes; 8 LP SPACES; 8.1 Basic Concepts and Facts; 8.2 Problems; 8.3 Hints; 8.4 Solutions; 8.5 Bibliographic Notes; 9 CONVERGENCE; 9.1 Basic Concepts and Facts; 9.2 Problems; 9.3 Hints; 9.4 Solutions

9.5 Bibliographic Notes10 PRODUCT MEASURES; 10.1 Basic Concepts



and Facts; 10.2 Problems; 10.3 Hints; 10.4 Solutions; 10.5 Bibliographic Notes; PART IIPROBABILITY THEORY; 11 EVENTS AND RANDOM VARIABLES; 11.1 Basic Concepts and Facts; 11.2 Problems; 11.3 Hints; 11.4 Solutions; 11.5 Bibliographic Notes; 12 INDEPENDENCE; 12.1 Basic Concepts and Facts; 12.2 Problems; 12.3 Hints; 12.4 Solutions; 12.5 Bibliographic Notes; 13 EXPECTATION; 13.1 Basic Concepts and Facts; 13.2 Problems; 13.3 Hints; 13.4 Solutions; 13.5 Bibliographic Notes; 14 CONDITIONAL EXPECTATION; 14.1 Basic Concepts and Facts

14.2 Problems14.3 Hints; 14.4 Solutions; 14.5 Bibliographic Notes; 15 INEQUALITIES; 15.1 Basic Concepts and Facts; 15.2 Problems; 15.3 Hints; 15.4 Solutions; 15.5 Bibliographic Notes; 16 LAW OF LARGE NUMBERS; 16.1 Basic Concepts and Facts; 16.2 Problems; 16.3 Hints; 16.4 Solutions; 16.5 Bibliographic Notes; 17 CHARACTERISTIC FUNCTIONS; 17.1 Basic Concepts and Facts; 17.2 Problems; 17.3 Hints; 17.4 Solutions; 17.5 Bibliographic Notes; 18 DISCRETE DISTRIBUTIONS; 18.1 Basic Concepts and Facts; 18.2 Problems; 18.3 Hints; 18.4 Solutions; 18.5 Bibliographic Notes; 19 CONTINUOUS DISTRIBUTIONS

19.1 Basic Concepts and Facts19.2 Problems; 19.3 Hints; 19.4 Solutions; 19.5 Bibliographic Notes; 20 CENTRAL LIMIT THEOREMS; 20.1 Basic Concepts and Facts; 20.2 Problems; 20.3 Hints; 20.4 Solutions; 20.5 Bibliographic Notes; PART III STOCHASTIC PROCESSES; 21 STOCHASTIC PROCESSES; 21.1 Basic Concepts and Facts; 21.2 Problems; 21.3 Hints; 21.4 Solutions; 21.5 Bibliographic Notes; 22 MARTINGALES; 22.1 Basic Concepts and Facts; 22.2 Problems; 22.3 Hints; 22.4 Solutions; 22.5 Bibliographic Notes; 23 STOPPING TIMES; 23.1 Basic Concepts and Facts; 23.2 Problems; 23.3 Hints; 23.4 Solutions

23.5 Bibliographic Notes

Sommario/riassunto

An introduction to the mathematical theory and financial models developed and used on Wall Street  Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of num