37210 - Mathematics Models for Finance 1

Academic Year 2017/2018

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Financial Markets and Institutions (cod. 0901)

Learning outcomes

Mathematical tools in measure theory and differential equations in view of applications in Mathematical finance

Course contents

Prelininary notions

Differential and integral one dimensionale calculus, infinite series linear algebra (rank, solution of liner systems, determinant). The student come consult chaptersi 4, 5, 6, 7 and 8i of "Lezioni di Analisi Matematica" publisher Esculapio, author Daniele Ritelli and chapter  5, 7, 11 of "Sistemi lineari e matrici" publisher Pitagora, authors Barnabei e Bonetti

Contents

Elements of calculus in several variables. Lebesgue measure and Lebesgue integral. Abstract measure. Probability measure. Beppo Levi's Theorem (monotone convergence), Fatou's Lemma, dominated convergence Theorem. Derivation of integrals dependent by a parameter. Integration in product spaces: Fubini's Theorem. Decomposition of integrals on R^2. Change of variable. Applications to the two dimensional random variables. Absolute continuity: Radon-Nikodym Theorem. Review of some useful special functions: Euler Gamma and Beta. Probability integral. Ordinary differential equations of first order: linear and separable. Second order linear differential equations. Partial differential equations: the heat equation integrated by means of Fourier transform. Constant coefficients Parabolic equations. Black Schoies equation and its integration

Readings/Bibliography

Lecture notes prepared by the instructor are availalble. The main sources are:

W. Rudin: Principles of Mathematical Analysis. Chap. 10. Mac Graw Hill 1986  

B. Osgood: The Fourier Transform and its Applications.  http://arni.epfl.ch/_media/courses/circuitsandsystems2011/book-2009.pdf

H. Hsu: Probability, Random Variables and Random Processes, MacGraw Hill 

F. Coppex: Solving the Black-Scholes equation: a demystification. www.francoiscoppex.com/blackscholes.pdf

Teaching methods

Lessons ex Cathedra. Homework

Assessment methods

Written examination of 2 hours, where is possible to use calculators and self made formularies. The aim of the exam is to detect the capability of the student to face both theoretical and practical problems in the branch Mathematical Analysis which is useful in Finance.

Teaching tools

Video beamer. Blackboard.

Links to further information

http://www.ams.org/mathscinet/MRAuthorID/618511

Office hours

See the website of Daniele Ritelli