Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Banca e finanza - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2022/2023
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Mathematical finance (2021/2022)
Teaching code
4S001142
Teacher
Coordinator
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.
Learning outcomes
The course offers an introduction to arbitrage theory and its applications to financial derivatives pricing in discrete and continuous time.
Program
1. Discrete market models
Uniperiod models: binomial and general. Multiperiod models: binomial and general.
Financial portfolios, the principle of non-arbitrage.
Derivatives: definition, examples, properties.
Absence of arbitrage.
Discrete-time martingale processes
Equivalent martingale measures and risk neutrality.
Numeraire
Replicable securities and valuation of derivatives
Completeness of the markets
The return of risky securities
The two fundamental asset pricing theorems
2. Market models in continuous time
Transition from discret to continuous times.
Geometric Brownian motion and modeling of empirical data
Risk quantification with a model
Ito Integral Ito, quadratic variation / covariation,
stochastic differential equations, characterization of martingales
Ito Lemma
Market model with n + 1 assets and m Brownian motions
Self-financing portfolios
Absence of arbitrage
Girsanov's theorem
Equivalent martingale measure
Replicability and pricing of derivatives
Completeness and EDP for the price function of a derivative
Delta hedging
Black and Scholes model
Formula for the price of call and put options
Useful material on the moodle page of the course: slides of the lessons, link to the notes on OneNote, exercises
Important knowledge for a successful learning: matrix calculations, linear systems, real functions of one or more real variables (in particular: continuous functions, composition of functions, partial derivatives), basic concepts of financial mathematics (interest rate, return of an investment, difference between bonds and shares of a firm), fundamental concepts of probability theory (sigma algebra, random variables, expected values, covariance, space L ^ 2 of rv, independence, conditional probabilities and expected values, equivalent probability measures, probability density, distribution function, Gaussian law, convergence in distribution, in probability, in L ^ 2, almost certain equality), basic concepts on stochastic processes (martingale, Brownian motion)
Preparatory courses: Mathematics, Financial Mathematics, Stochastic processes
Skills necessary for successful learning: willingness and ability to conduct logical reasoning in a rigorous way, and to motivate each step and the conclusions
Organization of teaching activities: lessons, exercises
Bibliography
Examination Methods
During the course, verification quizzes will be carried out, the evaluation of which can attribute a bonus of up to 3 points that can be added to the final exam grade. Those who did not take any quiz during the course must notify me one month before the exam in which they intend to participate, and must compulsorily carry out a homework by delivering the solutions within 9 days before the exam.
The final exam consists of a written test. Also an oral examination could be compulsory, in case the teacher needs for specific insights
The written test consists of practical exercises and theoretical questions, and can cover the whole programme of the course. Using notes or books or similar material during the test is forbidden
The exam is not passed if the mark in the written test is less than 18/30.
In case of oral exam, the mark may become insufficient if for instance inconsistencies are found with what is written, or if the competence of the student is not sufficient. The mark score may increase if parts of exercises have not been evaluated for doubt of interpretation. Requests for further questions to increase the score are not accepted. The adequacy of requesting the necessary clarifications will be established only by the teacher.
Characteristics of the expected performance. The student is required to demonstrate a critical and in-depth knowledge of the topics covered in the course. The concepts must not be exposed mechanically but in a reasoned way, the student is expected to be able to recognize when a formula obtained during the lesson for a specific example is not appropriate for the case she has to deal with. Connections among different parts of the program may be required and advanced level exercises can be (marginally) proposed.
The concise but comprehensive exposure, the rigor, the direct pointing towards the core of the matter will be particularly appreciated. Vague, inaccurate, poorly detailed or incorrect answers will be penalized
Students not attending the lectures: the examination methods are not differentiated between attending and non-attending students
For further details about the verification quizzes and the exam see the forum at the moodle page
