60 ECTS
35913
270h
Semester 3
Code MMUCA301-MMUCB301-MMUCC301
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- apply consumption-based asset pricing models to assess risk premia
- explain the market efficiency hypothesis and its empirical validity
- discuss the use and role of factor models
- apply asset pricing models to evaluate investment performance
- compute the value of fixed income instruments
- choose the right fixed income instrument according to a financial objective
Prerequisite
- Basic knowledge of: standard financial instruments (bonds, forward contracts, options
- Minimum preparation in: mathematics, statistics and econometrics
- An introductory course of Asset Pricing is a plus
Code MMUCA302-MMUCB302-MMUCC302
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- apply standard conceptual frameworks used in finance to major corporate events (like e.g. IPOs, M&A, dividend distribution, corporate governance decisions, early stage fund raising,...)
- evaluate the financial implications of corporate finance events
- identify the ethical issues at stake for corporations
- appreciate the role of corporate governance
- provide concise summaries of complex cases in both written and oral form
- work effectively in a group
Prerequisite
- Foundations on corporate finance theory (Modigliani-Miller, trade-off theory, agency issues, asymmetric information and financial decisions)
- Basics of corporate valuation and accounting (financial statements, valuation methods: DCFs, multiples, cost of capital)
Code MMUCA303-MMUCB303
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA301-MMMCB301
ECTS 2.00
Delivery mode On campus
Lecture Hours 12.00
Personal work hours 28.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- explain the main concepts of an ERP and discuss its opportunities and challenges
- describe how typical business processes are supported in SAP ERP
- understand integration between components
- navigate in the SAP Fiori user interface of SAP S/4HANA
- execute transactions for different business processes
- use Stories in SAP Analytics Cloud
- synthesize information and present the results in a written form
- work effectively in team
Prerequisite
- Basic knowledge in financial and management accounting
- Basic knowledge in information technology
Code MMMCB303
ECTS 3.00
Delivery mode On campus
Lecture Hours 18.00
Personal work hours 42.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- maintain an existing application through bug fixing, code cleanup, and feature developments
- develop new applications using event-driven and object oriented programming techniques
- enhance code quality through good coding practices
- synthesize information and present the results in a written form
- work effectively in a group
Prerequisite
- General knowledge of personal computers
- Excel (intermediate)
- Programming (beginner)
Code MMUCA307 - MMUCB307- MMUCC307
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA302-MMMCB305-MMMCC302
ECTS 2.50
Delivery mode E-learning
Lecture Hours 15.00
Personal work hours 35.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- write a basic Python program
- use versioning control software
- read in and manipulate structured data using dedicated libraries
- create some basic models and algorithms in a structured and documented way
- synthesize information and present the results in a written form.
Prerequisite
- Laptop or access to university computers.
- Basic understanding of math and logic.
Code MMUCA304-MMUCB304-MMUCC304
ECTS 2.50
Delivery mode On campus
Lecture Hours 15.00
Personal work hours 30.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- be familiar with the econometric techniques used in financial analysis (e.g., event studies, differences-in-differences, time series analysis, panel data analysis)
- develop an econometric model to test an economic hypothesis
- implement in an autonomous way the test of economic hypothesis using standard econometric software (i.e., identify the data, create variables, apply econometric techniques)
- interpret the outcomes of empirical analyses
- present the results of the empirical analysis in a professional manner
- work effectively in a group
Prerequisite
Intermediate knowledge in finance theory and in econometrics.
Code MMUCA306
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Personal work hours 68.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- apply the arbitrage pricing methodology and discuss cases where it does not apply in the pricing of derivatives
- compute the price of complex derivative instruments (e.g., American or exotic options) or and other related financial instruments
- show how financial intermediaries may hedge their position when they issue derivatives
- construct investment strategies using derivatives
- discuss regulation of derivatives contracts
- work effectively in a group
- incorporate ethical dimensions and implications for sustainability in financial decisions
- provide concise summaries of complex cases in both written and oral form
Prerequisite
- Minimum preparation in: Mathematics, Statistics, Econometrics, Python Programming
- This course requires the understanding of: standard derivative instruments (forward contracts, options), pricing by arbitrage, option pricing in the multi-period binomial model, pricing or forwards and swaps
Semester 4
Code MMUCA400-MMUCB400-MMUCC400
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of this course, students will be able to:
- describe the drivers of international trade and capital flows
- analyze the functioning of global financial markets (exchange rates, parity relations, international arbitrage)
- master the fundamental tools for international risk management
- work with economic models that underpin theories of intermediation and corporate finance
- understand the interactions between financial markets and financial decisions
- undertake a model-based analysis of financial decision-making by companies, investors and intermediaries
- apply ethical considerations to global issues
- provide concise summaries of complex cases in written form
Prerequisite
Basic knowledge of economic and finance theory
Code MMUCA401
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Personal work hours 56.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- describe the asset management process
- identify mispriced financial assets
- design investment strategies
- assess the performance of investment strategies
- implement trading strategies
- apply ethical considerations to management decisions
- work effectively in a group
Prerequisite
Minimum preparation in: Asset Pricing, Basic Mathematics and Statistics
Code MMUCA407-MMUCB407
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Personal work hours 56.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- identify the sources of financial markets’ inefficiencies
- list the various types of investors’ preferences
- assess financial and extra financial value drivers of a business
- describe the various types of investors’ cognitive biases
- estimate a firm or a financial institution’s climate risk exposure or impact using scenario analysis
- formulate recommendations for corporate risk management
- use cognitive biases to design trading strategies
- critically evaluate the impact of psychology on corporate decision-making
- work effectively in a group
- provide concise summaries of complex cases in both written and oral form
Prerequisite
Students are expected to have a minimum preparation in statistics, econometrics, risk management and programming, and to use knowledge from the VBA and Asset Pricing courses
Code MMUCA403
ECTS 4.00
Delivery mode Blended
Lecture Hours 24.00
Personal work hours 56.00
Teaching Language English
Pedagogical objectives
By the end of the course, students will be able to:
- describe the objectives of risk management (shareholder value maximization and beyond)
- evaluate exposure to different sources of risk (market risk, credit risk, liquidity risk, operational risk)
- apply the standard tools for Risk Management in Finance and Insurance
Prerequisite
This course requires the understanding of:
- Financial instruments basics;
- Pricing basics (Black-Scholes, Pricing parameters, Discounting);
- Greeks basics (Delta, Vega, Gamma);
Code MMUCA405-MMUCC405
ECTS 4.00
Delivery mode Blended
Lecture Hours 24.00
Personal work hours 68.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- leverage PyData ecosystem to program data science tasks efficiently
- perform data collection, exploration and preparation
- map practical problems to available ML approaches and methods
- implement an end-to-end ML pipeline and assess its performance
- apply ML to common financial use-cases
Prerequisite
- Personal laptop with wifi.
- Basic experience with any programming language.
- Basic understanding of math, logic and algorithms.
Code MMUCA406-MMUCB406-MMUCC406
ECTS 15.00
Delivery mode On campus
Teaching Language English
Pedagogical objectives
At the end of the internship, students should be able to:
- apply academic concepts in a practical situation in a professional environment
- expand content specific and technical skills
- reinforce the professional network
- respect and integrate the opinion of others
- synthesize information and make focused presentation
- apply ethical considerations to management decisions
Prerequisite
Students should have attended the M2 classes before starting the internship.