Education / Portfolio Management
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MSc Course · PortfolioCFA L1

Portfolio Management

A macroscopic, analytical approach to investing: how return and risk combine across many assets. From mean-variance optimisation and the capital allocation line, through the CAPM, factor models and APT, to risk management, active management, international investing and trade execution — investment decisions backed by numbers.

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Lessons
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Lesson 01

Portfolio Risk and Return

Mean-variance preferences and utility, the capital allocation line and Sharpe ratio, optimal risky/riskfree splits, two risky assets, the efficient frontier, the optimal risky portfolio, and the mutual-fund theorem.

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Lesson 02

CAPM and Performance Evaluation

Equilibrium and the market portfolio, the capital market line, the CAPM and beta, systematic vs non-systematic risk, the SML, the single-index model and diversification, and the Sharpe/M²/Treynor/Jensen measures.

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Lesson 03

Factor Models, APT and Factor Investing

Multifactor models and factor loadings, arbitrage pricing theory, the multifactor SML, the Fama-French three-factor model, smart-beta factor investing, and style analysis and attribution including Buffett's alpha.

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Lesson 04

Portfolio Risk Management

Value at risk by historical simulation, the parametric normal method and Monte Carlo, VaR under a factor model, fat tails and the stylised facts, backtesting, expected shortfall, stress testing and risk limits.

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Lesson 05

Active Portfolio Management

Active return and active weights, asset allocation vs security selection, the information ratio and optimal active risk, the Treynor-Black model, Grinold's rule, and the fundamental law of active management.

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Lesson 06

International Portfolio Management

International diversification and home bias, exchange rates and cross rates, triangular arbitrage, foreign-asset return and risk, forward rates and covered interest rate parity, and the carry trade with uncovered parity.

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Lesson 07

Applied Portfolio Management

The investment policy statement, absolute vs relative return and risk objectives, ability vs willingness to take risk, constraints, types of investors, and a case study reconciling return and risk objectives.

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Lesson 08

Electronic Markets, Trade Execution and Technology

The limit order book, market and limit orders and market impact, VWAP/TWAP/POV execution algorithms and transaction-cost benchmarks, high-frequency trading, and big data and machine learning.

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Lesson 09

Revision

A consolidated formula sheet and concept recap of the whole course — mean-variance, CAPM, factor models, VaR, active management, international investing, the IPS, and execution.

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