2024-2025 / Certificate

Executive Master in Private Equity and Other Alternative Asset Classes

15 credits

Programme content

PROGRAMME

This certificate (15 ECTS) includes a compulsory module of 5 ECTS. Besides this core class, particpants select themselves the courses they would like to follow from an extensive list of electives (8 modules) for ECTS.

COMPULSORY COURSE

Module 1 - Private Equity & Other Alternative Asset Classes - 5 ECTS

Session 1 - Fundamentals of alternative asset classes:

  • Definitions, Market overview,
  • Rationale,
  • Market players.

Session 2 - Structure and organisation of a Pe Fund:

  • Regulations,
  • Terms,
  • Fund documentation,
  • Governance clauses.

Session 3a - Pe Fund raising:

  • Investors and investor relations,
  • Marketing.

Session 3b - Family offices:

  • Strategies,
  • Differences to Pe Firms.

Session 4 - Pe transactions and investment phase:

  • Origination,
  • Bidding process,
  • Due diligence,
  • Structuring,
  • Financing,
  • Signings and closings,
  • Monitoring of investments.

Session 5 - Tax structuring:

  • Why Luxembourg,
  • Overview of Luxembourg's Tax System,
  • Substance rules,
  • Double taxation,
  • Transfer pricing.

Session 6 - Fund and investment valuation:

  • Methodologies,
  • Accouting rules,
  • Lux Gaap an Ifrs,
  • Fund reporting.

Session 7 - Value creation and exit strategies:

  • Operational value creation,
  • Financial engineering,
  • Governance,
  • Exit options and structuring.

Session 8a - Esg considerations:

  • Why Esg,
  • Compliance and risk,
  • Reporting.

Session 8b - Duties & responsibilities of board directors:

  • Regulatory framework.

Session 9 - Venture capital:

  • Focus,
  • Stages of investments,
  • Differences to a Pe Fund,
  • Investors,
  • Case study.

Session 10 - Fund of funds:

  • Definition,
  • Structure,
  • Risk and return profile,
  • Diversification,
  • Valuation and reporting,
  • Co-investments and secondaries.

Session 11 - Private Debt:

  • Differences to Pe Funds,
  • Strategies,
  • Investors,
  • Risk and return profile,
  • Credit facilities.

Session 12 - Real assets, real estate and infrastructure:

  • Differences to Pe Funds,
  • Strategies,
  • Risk and return profile,
  • Case studies.

ELECTIVE COURSES

Module 2 - Corporate finance - 5 ECTS

  • Corse overview; goals and governance of the corporation; financial markets and institutions; time value of money (part 1/2);
  • Time value of money (part 2/2);
  • Bonds;
  • Stocks;
  • Net present value and other investment criteria;
  • Using disounted cash-flow analysis to make investment decisions; projects analysis;
  • Mid-term exam; measuring corporate performance;
  • Introduction to risk, return and the opportunity cost of capital; risk, return and capital budgeting;
  • Weigthed average cost of capital and company valuation;
  • Working capital Management;
  • Review and wrap up;
  • Final exam.

Module 3 - Financial management - 5 ECTS

  • Financial forecasting,
  • Financial modelling; valuation,
  • Capital budgeting,
  • Real options,
  • Funding the business: from start-up to IPO,
  • Optimal capital structure,
  • Distribution policy,
  • Mergers & Acquisitions,
  • Project financing,
  • Wrap up,
  • Student group project presentations,
  • Kick-off final exam.

Module 4 - Portfolio management - 5 ECTS

  • Investment background and financial markets,
  • Security markets, mutual funds & other companies,
  • Risk and return,
  • Efficient diversification,
  • Capital asset pricing theroy,
  • Efficient market hypothesis, and behavioural analysis,
  • Mid-term exam, equity and bond valuation,
  • Derivative markets and risk management,
  • Portfolio performance evaluation,
  • International investing,
  • Hedge funds, Private Equity, LBOs and SPACS,
  • Final exam.

Module 5 - Advanced risk management - 5 ECTS

  • Introduction and quick refresher on quantitative analysis;
  • Capital markets - assets and derivatives (Part 1/3);
  • Capital markets - assets and derivatives (Part 2/3);
  • Capital markets - assets and derivatives (Part 3/3);
  • Valuation and risk models - Introduction to risk (VAR, CVAR, tracking error risk budgeting, etc.);
  • Valuation and risk models - Practice and limitations;
  • Mid-term exam, credit risk;
  • Operational and integrated risk management (Part 1/2);
  • Operational and integrated risk management (Part 2/2);
  • Portfolio risk management and Hedge Fund risk management;
  • Main lessons of financial crisis for risk managers and recent developments;
  • Final exam.

Module 6 - Mergers & Acquisitions - 5 ECTS

  • M&A strategy Part 1 - lessons from CISCO,
  • M&A strategy Part 2 - impact other corporate finance decisions,
  • Valuation,
  • Financing the deal,
  • Leveraged buyouts
  • Closing the deal (M&A in Wine coutry V2, simulation exercise),
  • Assessing the risks (agreement terms),
  • Target search and due diligence,
  • Post-Merger integration,
  • Wrap up,
  • Student group project presentations
  • Kick-off final exam.

Module 7 - Sustainable finance - 3 ECTS

  • Introduction, definition of sustainable finance,
  • Capital flows in the financial system, role of central banks,
  • Sustainability regulation,
  • Sustainable finance instruments: Greenbonds,
  • Sustainable finance instruments: Private Equity, Infra and Impact funds,
  • Sustainable finance instruments: Banking and loans,
  • Reporting and measurement for impact and public actors,
  • Student presentation, Final test.

Module 8 - Fundamental investing - 2 ECTS

  • Compounded interest and the stock market machinery; price vs value and behavioural finance;
  • Determining the moat; profit & loss and balance sheet analysis;
  • Quiz 1; working capital, net Debt, and accounting shenanigans; DCF and market multiples valuations;
  • Quiz 2; transaction multiples, book value, ratio analysis;
  • Quiz 3; putting it all together.

Module 9 - Blockchain & Big Data/Cryptocurrencies - 5 ECTS

  • Bitcoin, Blockchain and Big Data use cases,
  • Consensus algorithms (Part 1/2),
  • Consensus algorithms (Part 2/2),
  • Ethereum programming,
  • Security and privacy,
  • Applied programming techniques,
  • Introduction to relevant languages and protocols,
  • Mid-term test,
  • Business case / Technology session,
  • Code development (Part 1/2),
  • Code development (Part 2/2),
  • Final project pitch presentation.

Learning outcomes

Module 1 - Private Equity and other alternative asset classes (compulsory)

Upon successful completion of this course, participants will be able to:

  • Understand the characteristics fo different alternative asset classes including Private Equity, Venture Capital, Real Estate, Infrastructure and Private Debt, their strategies, actors and structures, and how they are applied;
  • Appreciate the key elements of fundraising, typical transaction valuation, value creation, exit strategies, and tax structuring;
  • Gain access to practitioners such as fund managers, lawyers, and auditors, who will participate in the class discussion as guest speakers;
  • Either build or advance their careers in Private Equity and other covered alternative asset classes;
  • Gain a broad understanding and in-depth knowledge of the industry.

Module 2 - Corporate finance (elective)

Upon successful completion of this course, participants will be able to:

  • Discuss fundamental concepts of corporate finance;
  • Understand the sources, uses and cost of capital in operating a business;
  • Apply techniques based on costs of debt and equity financing in capital budgeting, analysis of investment opportunities and risk;
  • Assess company performance applying Ratio Analysis;
  • Appreciate key concepts regarding Working Capital management for the day-to-day operations of an organisation.

Module 3 - Financial management (elective)

Upon successful completion of this course, participants will be able to:

  • Apply the concepts of maximisation of firm value and risk analysis to a variety of management decisions;
  • Demonstrate the importance of identifying key value drivers and performing sensitivity analysis in support of decision making;
  • Analyse alternative financial decisions using financial models;
  • Appreciate the role of corporate finance supporting decision making in the areas of capital budgeting, capital structure and distributions;
  • Make financial decisions to create value for the organisation (within the framework of value-based management).

Module 4 - Portfolio management (elective)

Upon successful completion of this course, participants will be able to:

  • Apply basic techniques to analyse securities and build portfolios,
  • Utilise statistical principles to the management of the portfolio,
  • Understand how to diversify portfolios to reduce risk,
  • Appreciate the limits of traditional financial theories through behavioural finance.

Module 5 - Advanced risk management (elective)

Upon successful completion of this course, participants will be able to:

  • Understand the types of financial risk various institutional market participants are facing;
  • Measure and evaluate risk;
  • Propose effective risk management techniques;
  • Appreciate relevant international regulations such as Basel I-III in their historical development as well as most recent modifications aiming to prevent further financial crises;
  • Discuss the rapidly growing relevance of Environmental, Social and Governance (ESG) - related risk factors.

Module 6 - Mergers & Acquisitions (elective)

Upon successful completion of this course, participants will be able to:

  • Appreciate the role M&A strategy can play within corporate strategy, and will be able to differentiate good-, from bas reasons for M&A;
  • Apply basic valuation techniques (DCF, trading-, and transaction multiples) to serve as guidelines to establish the price range for negotiation;
  • Discuss different methods of deal financing, including LBOs, and participants will learn to identify their advantages and disadvantages in the specific circumstances of the transaction;
  • Understand the importance of risk assessment, both legal and business, during the search process and negociations;
  • Experience the psychological pressures of negotiations through an in-class multi-party negotiation simulation, and through the group project of the class;
  • Identify critical challenges of post-merger integration. The importance of post-merger integration as an integral part of the transaction will be made clear.

Module 7 - Sustainable finance (elective)

Upon successful completion of this course, participants will be able to:

  • Identify key actors, both public and private;
  • Appreciate the complexities and impact of key regulation in the field;
  • Understand the role and main characteristics of the principal financial instruments employed;
  • Interpret and apply to investment decisions the fundemental metrics used to measure sustainability impact.

Module 8 - Fundamental investing (elective)

Upon successful completion of this course, participants will be able to:

  • Understand the principles of value investing (as promoted by famous investors such as Warren Buffet and Howard Marks);
  • Evaluate a company's performance and financial health based on available financial and operating information;
  • Apply a wide range of value investment valuation techniques such as discounted cash flow type analysis, and multiples valuation methods;
  • Differentiate between price and value to be able to identify potentially undervalued companies.

Module 9 - Blockchain & Big Data/Cryptoccurencies (elective)

Upon successful completion of this course, participants will be able to:

  • Understand the opportunities but also limits of blockchain technology and big data;
  • Understand the elements of writing simple blockchain applications using the Ethereum platform;
  • Appreciate the basic theory on consensus protocols;
  • Develop basic monitoring tools;
  • Understand the economic issues and inventives of decentralised applications and big data;
  • Discuss governance approaches for blockchain based applications;
  • Advanced topics time allowing: Ripple Interledger protocol, Tezos governance model.