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STOCHASTIC ANALYSIS

CODE 109055
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 1st year of 9011 MATEMATICA(LM-40) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR MAT/06
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 2° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The course introducts stochastic calculus and martingale theory, that naturally intervene in applications in economics.

    AIMS AND CONTENT

    LEARNING OUTCOMES

    Introduction to Stochastic Calculus and Martingale Theory. Applications in finance.

    AIMS AND LEARNING OUTCOMES

    Upon completion of the course, the student knows the fundamentals of the theory of stochastic processes in discrete and continuous time; he also learns the mathematical basis of stochastic calculus according to Itô. He/she is able to handle advanced tools of probability and stochastic process theory and sees some applications to the financial world.

    PREREQUISITES

    Probability Theory

    TEACHING METHODS

    Letures.

    SYLLABUS/CONTENT

    Conditional Expectation/filtrations and stopping times/discrete-time martingale (Doob's inequalities, convergence results; Doob-Meyer decomposition)/continuous-time martingale (Continuous or continuous right-handed trajectory versions with limits from the left. Kolmogorov's theorem. Continuous-time martingales and their properties. Martingales closed by an integrable or integrable square random variable)

     

    Brownian motion (scale change invariance property, strong Markov property, reflection principle, law of maximum, level crossing times, geometric Brownian motion, multidimensional Brownian motion, recurrence and transience. Brownian motion with drift. Ornstein-Uhlenbeck process, Bessel process, Brownian bridge.)/ Stochastic integration/Simulation MB/ Applications to finance.

    RECOMMENDED READING/BIBLIOGRAPHY

    A. Pascucci, PDE and Martingale methods in Option PricingBocconi & Springer Series (2010)

    P. Baldi, S. Shreve, Stochastic Calculus and Finance

    P. Baldi, Equazioni differenziali stocastiche e applicazioni, Bologna, Pitagora (2000)

    Mörters, Peres, Brownian Motion

    F. Caravenna, Moto browniano e analisi stocastica

    TEACHERS AND EXAM BOARD

    Exam Board

    VERONICA UMANITA' (President)

    EMANUELA SASSO

    LESSONS

    LESSONS START

    The class will start according to the academic calendar.

     

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Oral test.

     

    Students with DSA certification ("specific learning disabilities"), disability or other special educational needs are advised to contact the teacher at the beginning of the course to agree on teaching and examination methods that, in compliance with the teaching objectives, take account of individual learning arrangements and provide appropriate compensatory tools.

    ASSESSMENT METHODS

    Verification of learning is by oral examination only and will focus on topics covered in class. The student will be expected to show correctness in mathematical language and formalism, be well acquainted with the mathematical objects and results of the course, and be able to use them naturally.