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

Author/creator Gan, Guojun, 1979-
Other author Ma, Chaoqun.
Other author Xie, Hong.
Format Electronic
Publication InfoHoboken : Wiley, 2014.
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Contents Preface -- Measure theory -- Sets and sequences -- Measures -- Extension of measures -- Lebesgue Stieltjee measures -- Measurable functions -- Lebesgue integration -- The Radon Nikodym theorem -- LP spaces -- Convergence -- Product measures -- Probability theory -- Events and random variables -- Independence -- Expectation -- Conditional expectation -- Inequalities -- Law of large numbers -- Characteristic functions -- Discrete distributions -- Continuous distributions -- Central limit theorems -- Stochastic processes -- Martingales -- Stopping times -- Martingale inequalities -- Martingale convergence theorems -- Random walks -- Poisson processes -- Brownian motions -- Markov processes -- Levy processes -- Stochastic calculus -- The wiener integral -- The it "o" integral -- Extension of it "o" integrals -- Martingale stochastic integrals -- The it o's formula -- Martingale representation theorem -- Change of measure -- Stochastic differential equations -- Libor market models -- Diffusions -- The Feyn Mankac formula -- Stochastic financial models -- Discretetime models -- Blackscholes -- Pathdependent options -- American options -- Instantaneous forward rate models -- References -- List of symbols -- Subject index -- Financial glossary.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Gan, Guojun, 1979- Measure, probability, and mathematical finance Hoboken : Wiley, 2014 9781118831960
Genre/formElectronic books.
LCCN 2013043863
ISBN9781118347386 (Adobe PDF)
ISBN9781118347393 (ePub)

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