Asset Management Course

Lesson 1 • The Asset Management Industry

Maps the structure of the asset management industry, including key participants and business models. Contextualises where practitioners operate within the broader financial ecosystem.

Lesson 2 • Core Investment Principles

Covers risk, return, and time value of money as the bedrock of investment decision-making. These principles underpin every valuation and portfolio construction technique in the course.

Lesson 3 • Defining Assets and Asset Classes

Introduces the economic definition of an asset and the taxonomy of asset classes. Provides the classification foundation needed for all subsequent portfolio and valuation work.

Lesson 4 • Investment Mandates and Objectives

Explains how client goals translate into formal investment mandates with defined constraints. Students connect client needs to portfolio design parameters used throughout the course.

Lesson 1 • Market Microstructure and Trading

Examines how orders are executed, how prices are formed, and the role of liquidity providers. Connects market mechanics to transaction cost analysis introduced in later chapters.

Lesson 2 • Macroeconomic Drivers of Markets

Links key macroeconomic indicators to asset price behaviour across market cycles. Equips students to interpret economic data when making top-down allocation decisions.

Lesson 3 • Derivatives and Alternative Instruments

Introduces options, futures, swaps, and alternative instruments used for hedging and exposure management. Prepares students for risk management and advanced strategy chapters.

Lesson 4 • Fixed Income Markets and Instruments

Explains bond structures, pricing mechanics, and the fixed income market ecosystem. Directly supports yield analysis and duration management covered in later chapters.

Lesson 1 • Fixed Income Valuation and Yield Analysis

Applies bond pricing formulas, yield measures, and spread analysis to fixed income securities. Directly supports portfolio duration management and credit analysis in later chapters.

Lesson 2 • Real Asset and Alternative Valuation

Addresses income capitalisation, net asset value, and appraisal methods for real estate and infrastructure. Extends valuation skills to illiquid and non-traditional asset classes.

Lesson 3 • Discounted Cash Flow Analysis

Teaches free cash flow forecasting, discount rate estimation, and terminal value calculation. DCF is the core intrinsic valuation method used across equity and real asset analysis.

Lesson 4 • Relative Valuation and Comparable Analysis

Uses peer group multiples and transaction comparables to benchmark asset value. Complements intrinsic methods and is essential for practical investment recommendation work.

Lesson 1 • Asset Allocation Strategies

Distinguishes strategic, tactical, and dynamic asset allocation and their implementation logic. Connects client mandates from Chapter 1 to concrete portfolio weight decisions.

Lesson 2 • Constraints and Practical Implementation

Addresses real-world constraints including liquidity, concentration limits, and transaction costs. Translates theoretical optimisation into implementable portfolio decisions.

Lesson 3 • Factor-Based Portfolio Construction

Introduces systematic risk factors—value, momentum, quality, size—and their role in portfolio design. Bridges traditional allocation with smart beta and factor investing strategies.

Lesson 4 • Portfolio Rebalancing and Monitoring

Covers threshold-based and calendar rebalancing, drift management, and ongoing portfolio review. Ensures students can maintain portfolio integrity over time as markets evolve.

Lesson 1 • Risk Governance and Reporting

Establishes risk governance structures, escalation protocols, and risk reporting standards. Prepares students to design and operate a risk management function within an asset management firm.

Lesson 2 • Risk Identification and Classification

Categorises market, credit, liquidity, operational, and model risks relevant to asset managers. Establishes a shared risk taxonomy used throughout all subsequent risk management sections.

Lesson 3 • Credit Risk and Default Management

Analyses probability of default, loss given default, and credit risk mitigation tools. Connects credit analysis from Chapter 3 to active risk management at the portfolio level.

Lesson 4 • Duration and Interest Rate Risk

Covers Macaulay duration, modified duration, convexity, and their use in managing rate sensitivity. Essential for fixed income portfolio management and liability-driven investment strategies.

Lesson 1 • Risk-Adjusted Performance Metrics

Calculates and interprets Sharpe, Sortino, Treynor, and Calmar ratios for portfolio evaluation. Provides the analytical vocabulary used in client reporting and manager due diligence.

Lesson 2 • Performance Attribution Analysis

Applies Brinson-Hood-Beebower and factor-based attribution to decompose portfolio returns. Enables managers to identify the sources of outperformance or underperformance systematically.

Lesson 3 • Global Performance Standards Compliance

Introduces globally recognised performance presentation standards, composite construction, and verification. Ensures students can prepare compliant performance records for institutional clients.

Lesson 4 • Benchmarking and Relative Performance

Defines benchmark selection criteria, active return, and tracking error in a performance context. Connects mandate objectives from Chapter 1 to measurable performance outcomes.

Lesson 1 • Alternative and Hedge Fund Strategies

Introduces long-short equity, event-driven, arbitrage, and macro hedge fund strategies. Extends the strategy toolkit to absolute-return mandates and alternative investment allocations.

Lesson 2 • Passive and Index Investing

Covers index construction, full replication, sampling, and synthetic index strategies. Provides the technical knowledge needed to implement and evaluate passive mandates.

Lesson 3 • Active Management Philosophies

Surveys fundamental, quantitative, and macro active management styles and their underlying hypotheses. Frames the active vs. passive debate with evidence-based arguments for each approach.

Lesson 4 • Smart Beta and Factor Strategies

Examines rules-based factor strategies that blend active insights with passive implementation. Builds on factor concepts from Chapter 4 to evaluate smart beta product design.

Lesson 1 • Evolving Trends in Asset Management

Surveys ESG integration, digital assets, and technology-driven disruption reshaping the industry. Prepares students to adapt strategic thinking as the asset management landscape continues to evolve.

Lesson 2 • Client Communication and Reporting

Covers investment report design, client meeting structure, and translating complex data into clear narratives. Ensures students can maintain client trust and demonstrate value through professional communication.

Lesson 3 • Long-Term Capital Market Assumptions

Develops forward-looking return, risk, and correlation estimates for strategic allocation decisions. Connects macroeconomic analysis from Chapter 2 to long-horizon portfolio planning.

Lesson 4 • Liability-Driven and Goals-Based Investing

Applies liability matching and goals-based frameworks to pension, endowment, and retail client portfolios. Extends allocation theory to funding ratio management and multi-goal portfolio design.