Insegnamento a.a. 2024-2025

30560 - MATHEMATICAL MODELLING FOR FINANCE

Department of Finance

Course taught in English

Student consultation hours
Class timetable
Exam timetable
Go to class group/s: 27
BAI (8 credits - I sem. - OB  |  4 credits MAT/06  |  4 credits SECS-S/06)
Course Director:
ANNA BATTAUZ

Classes: 27 (I sem.)
Instructors:
Class 27: ANNA BATTAUZ


Suggested background knowledge

A knowledge of linear algebra and probability (with proofs) is utmostly advisable. The course is tailored for third-year students of the Bachelor's program in Artificial Intelligence, and it is mathematically rigorous.

Mission & Content Summary

MISSION

The course equips students with mathematical models to deal with core problems of finance. Students will develop a unique combination of financial intuition and rigorous mathematical reasoning to tackle and to solve fundamental questions in finance with a meticulous mathematical approach.

CONTENT SUMMARY

One-period markets:

  • Financial markets, risk and return;
  • Law of One Price: linear pricing functionals, Stochatisc Discount Factors, Risk-Neutral probabilites;
  • No Arbitrage and the 1st Fundamental Theorem of Asset Pricing;
  • No Arbitrage, completeness and the Fundamental Theorem of Asset Pricing;
  • Optimal portfolio consumption and equilibrium asset pricing;
  • Stochatisc Discount Factors, the mean variance fronteer and beta models;
  • The Capital Asset Pricing Model, CAPM.

 

Multi-period markets:

  • Information and conditional expectation;
  • Financial securities, investment strategies, cashflows;
  • Dynamic no-arbitrage and completeness: the 1st and the 2nd Fundamental Theorem of Asset Pricing;
  • No-Arbitrage valutation of derivatives;
  • Dynamic programming and applications to finance: American options and portfolio optimization;
  • Equilibrium in multiperiod financial markets.

Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Recognize the main features of financial markets both in a static and in a dynamic framework.
  • Identify the necessary conditions for financial equilibrium in the one-period and in the multiperiod case.
  • Discuss absence of arbitrage and market completeness.
  • Identify optimal portfolio strategies and the mean-variance fronteer in the one-period setting.
  • Define the hedging strategy and the derivatives' prices in no-arbitrage complete markets.
  • Describe the optimal portfolio problem in a multi-period setting.
  • Discuss the main features of asset prices in equilibrium markets.

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Verify the absence of arbitrage and the completeness of one-period and multiperiod financial market models.
  • Hedge and evaluate derivatives securities in no-arbitrage complete markets, both in the one-period and in the multiperiod case.
  • Solve optimal portolio problems  in the one-period and in the multi-period case.

Teaching methods

  • Lectures
  • Practical Exercises

DETAILS

Some lectures will be dedicated to the solution of exercises. Students will be trained to deal with core problems of finance applying rigorous mathematical reasoning. 


Assessment methods

  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
    x

ATTENDING AND NOT ATTENDING STUDENTS

No distinction between attending and non-attending students.

The exam consists of a written individual exam with open-ended questions and closed-ended questions. The open-ended questions require substantiated answers and check the ability to describe key features of the theoretical models presented (e.g. the absence of arbitrage and the completeness of one-period and multiperiod financial market models) and  to apply mathematical methods to solve financial problems (e.g. hedging and evaluating derivatives securities in no-arbitrage complete markets, or solving optimal portfolio problems  in the one-period and in the multi-period case). 

The closed-ended questions with "multiple choice questions" verify the ability to recognize basic knowledge and concepts regarding the most important features of the mathematical modelling of core financial problems discussed in the lectures.


Teaching materials


ATTENDING AND NOT ATTENDING STUDENTS

Slides and lecture notes prepared by Instructors. All teaching materials will be distributed via BBoard.

Last change 24/05/2024 17:21