Asset pricing

Course objectives

Learning goals To provide an understanding of derivatives contracts and the models used to price them. The arbitrage theorem and the modern financial theory represent the building blocks for the model development and understanding Knowledge and understanding It is expected the learning of the basic elements of classical mathematical finance to understand how financial markets work and how complex financial insruments can be assessed. The ability of the autonomous use of the financial techniques in several activities and works in this sector are also expected, as well as making autonomous judgements ability, learning and communication abilities. Applying knowledge and understanding Each theoretical concept will be applied to real cases. Students will be assessed according to their ability to solve specific problems. Making judgements Each student will be required to download real market data and validate the pricing models used for option contracts or futures and he will be able to validate his/her ability to do so. Communication skills Each student will be required to present the application of studied methodologies to solve a real problem. Learning skills. The learned concepts will be tested having each student to undertake a final exam.

Channel 1
RITA LAURA D'ECCLESIA Lecturers' profile

Program - Frequency - Exams

Course program
In inglese: Options markets description and functioning Stock options and interest rate derivatives Discrete time models Binomial pricing model Continuos time models Wiener processes and Markov processes Ito’s Lemma Risk neutral valuation Black & Scholes Model
Prerequisites
Financial Mathematics Probability Stochastic Proocesses
Books
J. C. Hull- "Opzioni, futures and other Derivatives. 10° edizione Pearson-Prentice Hall, 2017 Testi Consigliati S. Shreve, Stochastic Calculus for Finance. Springer 2000
Teaching mode
Two hour lectures run thre times a week. Lectures are completed with practical applications and excerises. The Advanced Risk Portfolio Management platform will be used to allow student to deepen their expertise.
Exam mode
Regular tests will be run within each exam session. A written test will be aimed to verify the acquired knowledges during the lectures. Students will be asked to price simple and complex financial securities, to assess various investment choices and to be able to estimate the term structure of interest rates. Passing the written test will give them the option to be assessed also with an oral test.
Lesson mode
Two hour lectures run thre times a week. Lectures are completed with practical applications and excerises. The Advanced Risk Portfolio Management platform will be used to allow student to deepen their expertise.
MARCELLO MINENNA Lecturers' profile

Program - Frequency - Exams

Course program
1) Risk drivers: description, identification and measurement 2) Major securities and instruments, payoffs and trading strategies 3) The fundamental theorem of Asset Pricing 4) Pricing at the horizon for plain vanilla instruments (from binomial to B&S) 5) Interest rates derivatives. 6) Pricing exotics 7) Commodity pricing 8) The world of cryptocurrencies 9) The Capital asset Pricing Theorem and the Efficient Market Hypothesis 10) Portfolio selection and the efficient frontier with N securities 11) The APT Risk measures: introductions and main axioms 12) Introduction to risk management
Books
J. C. Hull- "Futures, Options and other Derivatives" 10° edition Pearson-Prentice Hall, 2020 S. Shreve, Stochastic Calculus for Finance. Springer 2000 J.Cochrane, Asset Pricing, Princeton. 2010 Meucci A. Risk and Asset Allocation. Springer 2020
Frequency
Attendance of the course is strongly recommended. In case of impossibility to follow the lessons, it is advisable to contact the teacher.
Exam mode
A written or oral exam consisting of general questions to evaluate the general understanding of the topic, and specific questions to assess the level of detail.
Lesson mode
- Lectures: the main method used to acquire knowledge (the training objectives are mainly linked to them). - ARPM quant lab. Flipped classroom will be used together with the traditional method. Students deal with real market data and technical tool to build scenarios and pice complex financial instruments.
  • Lesson code10589417
  • Academic year2024/2025
  • CourseActuarial and Financial Sciences
  • CurriculumQuantitative finance
  • Year2nd year
  • Semester1st semester
  • SSDSECS-S/06
  • CFU9
  • Subject areaMatematica per le scienze attuariali e finanziarie