PRICING OF FINANCIAL INSTRUMENTS AND SERVICES

Course objectives

The course intends to rationalize the context in which financial decisions and assessments are formed to provide students with the ability to reason and modify rules. The course aims to teach students the construction of pricing models for goods, contracts, financial assets and risk, creating a bridge between the microeconomic decisions theory, financial pricing, and operational matters. To this aim, it will be necessary to strengthen some micro-economic instruments as well as the bases of the theory of prices and contracts in asymmetric information conditions. The aim is to teach students the ability to evaluate financial activities and/or services, distinguishing the context according to the quality of the supply and demand of the market in which one operates, possibly creating new methods of evaluation. "Quality" is a term used to summarize the degree of information of the participants, the structure of the market and the degree of competition, the objectives of the financial institution, the liquidity and obviously the risk tolerance of the various operators, the expectations. Following the Dublin criteria, the student will have to demonstrate: A) (knowledge and understanding) to have understood and be able to apply financial quantitative tools used in industry to price financial assets; B) (applying knowledge and understanding) to know the context and the assumptions necessary to use each evaluation tool, and their weaknesses. Be therefore able to propose different evaluation methods in different contexts; C) (making judgements) judgment autonomy in choosing assessment methods, including a subjective analysis of the consequences; D) (communication skills) to be able to explain the quantitative material and its assessments to specialists and also to non-experts (customers), E) (learning skills) independent learning ability to undertake subsequent studies. Considering the time constraints, topics will be dealt with in a synthetic way. Since the aim is to make the student able to translate the different problems in quantitative terms and to learn how to solve them and translate a decision in a "numerical price" according to the given context.

Channel 1
MARIA AUGUSTA MICELI Lecturers' profile

Program - Frequency - Exams

Course program
Consumer Theory Review: Income and Substitution Effects Consumer Theory: Choices and the Slutsky Equation Consumer Theory: Intertemporal Choice and Definition of Savings and Endowment Income Intertemporal Choice: Multiple Periods and Intertemporal Preference Rate vs. Interest Rate Risk Aversion and Premium Intertemporal Choice under Uncertainty and Discrete States Binomial Model (2 States of Nature for Each Period) Complete Markets and General Equilibrium, State Prices Choice under Uncertainty: Infinite States of Nature. Mean-Variance Approach. First and Second Degree Stochastic Dominance CAPM Value at Risk and Copulas Incomplete Markets and Completion Methods Asset Pricing: General Setting Risk neutral pricing and no arbitrage conditions Interest rate structure: Yield Curves Bond pricing and term structure of interest rates Mortgages Duration and Convexity Clumping and Coupon Clumping Futures and Forwards: Payoffs Futures and Forwards: Pricing Swaps & FRA Plain-Vanilla Options: Payoffs Options: Trading Strategies Plain-Vanilla Options: Monte Carlo and Binomial Pricing Black & Scholes Pricing and Greeks Greeks: dynamic portfolio hedging. Stress Tests.
Prerequisites
Microeconomics. Math 1
Books
Miceli, M.A. Dispense sul sito. Hull, J. “Options, Futures, and Other Derivatives" Possibly 11th Ed. (2021)
Frequency
Not mandatory but strongly recommended.
Exam mode
Passing weekly assignments as Quiz on Moodle. Written exam in class. Oral exam for written evaluations lower than 20/30 or over 27/30.
Bibliography
Benninga, S. (2014). Financial Modeling. 4th edition, MIT Press. Campbell, J. Y. (2017). Financial decisions and markets: a course in asset pricing. Princeton University Press. Cuthbertson, K., Nitzsche, D., & O'Sullivan, N. (2019). Derivatives: Theory and Practice. John Wiley & Sons. Danthine, J. P., & Donaldson, J. B. (2015). Intermediate Financial Theory. Academic Press. 3rd Ed. Elton, E.J.; Gruber, M.J.; Brown,S.J. Goetzmann, W.N. (2017) Modern Portfolio Theory and Investment Analysis, Wiley 9th Ed. Kosowski, R.L. & S.N. Neftci (2015). Principles of Financial Engineering. Academic Press Resti, A. & Sironi, A.(2007). Risk Management and Shareholders' Value in Banking: From Risk Measurement Models to Capital Allocation Policies, Wiley. Taleb, N. (1997). Dynamic Hedging-Managing Vanilla and Exotic Options. John Wiley & Sons Inc.
Lesson mode
Lectures in the classroom. Weekly assignments on eLearning ( Moodle). Computational exercises with the students at the blackboard or through computer programming in Excel / Matlab .
  • Lesson code10589263
  • Academic year2024/2025
  • CourseFinancial institutions, international finance and risk management
  • CurriculumBanking and financial intermediaries
  • Year1st year
  • Semester2nd semester
  • SSDSECS-P/01
  • CFU6
  • Subject areaEconomico