Advanced Investment Strategies Course

Lesson 1 • Time Value of Money

Covers discounting, compounding, and present value mechanics. Enables accurate valuation of future cash flows across all asset classes.

Lesson 2 • Market Efficiency Concepts

Examines weak, semi-strong, and strong efficiency forms and their empirical evidence. Sets realistic expectations for alpha generation strategies.

Lesson 3 • Asset Classes Overview

Surveys equities, fixed income, real assets, and alternatives by risk profile. Provides classification vocabulary used throughout the course.

Lesson 4 • Risk and Return Fundamentals

Defines systematic vs. unsystematic risk and quantifies expected return. Anchors all subsequent portfolio and strategy decisions in measurable trade-offs.

Lesson 1 • Modern Portfolio Theory Essentials

Derives the efficient frontier using covariance and correlation inputs. Demonstrates how diversification reduces portfolio risk without sacrificing return.

Lesson 2 • Rebalancing Strategies

Compares calendar, threshold, and cost-aware rebalancing methods. Quantifies the return and risk impact of rebalancing frequency choices.

Lesson 3 • Portfolio Optimisation Techniques

Applies mean-variance, Black-Litterman, and risk-parity models. Equips students to select optimisation methods suited to data quality and constraints.

Lesson 4 • Correlation and Diversification Limits

Analyses correlation breakdown during market stress and its portfolio impact. Prepares students to stress-test diversification assumptions.

Lesson 1 • Short Selling and Long-Short Strategies

Covers mechanics, risks, and return sources of short selling. Extends equity toolkit to market-neutral and long-short portfolio construction.

Lesson 2 • Equity Portfolio Risk Management

Applies beta hedging, sector limits, and position sizing to equity books. Integrates risk controls directly into equity strategy execution.

Lesson 3 • Fundamental Equity Valuation

Applies DCF, comparable company, and precedent transaction methods. Grounds valuation in cash flow reality and market benchmarks.

Lesson 4 • Growth vs. Value Investing

Contrasts growth and value philosophies through financial metrics and market cycles. Helps students select style exposure appropriate to macro regime.

Lesson 1 • Yield Curve Strategies

Implements bullet, barbell, and ladder strategies across yield curve positions. Aligns curve positioning to rate outlook and liability structure.

Lesson 2 • Structured Credit and Securitisation

Analyses mortgage-backed, asset-backed, and collateralised structures. Expands fixed income toolkit to include complex spread products.

Lesson 3 • Duration and Convexity Management

Quantifies interest rate sensitivity using duration and convexity measures. Enables precise rate risk positioning across portfolio mandates.

Lesson 4 • Bond Valuation and Yield Mechanics

Derives bond prices from yield, coupon, and maturity relationships. Establishes pricing intuition required for all fixed income strategy work.

Lesson 1 • Swap Strategies

Structures interest rate, currency, and total return swaps for portfolio objectives. Connects swap mechanics to liability management and yield enhancement.

Lesson 2 • Futures and Forwards Applications

Applies futures and forwards to hedge equity, rate, and commodity exposures. Distinguishes cash-settled from physical delivery mechanics.

Lesson 3 • Portfolio Hedging Design

Integrates derivatives into a unified hedging framework for multi-asset portfolios. Evaluates hedge ratio, cost, and effectiveness trade-offs.

Lesson 4 • Options Trading Strategies

Constructs spreads, straddles, collars, and covered calls for defined outcomes. Matches strategy selection to market view and risk tolerance.

Lesson 1 • Real Estate Investment Strategies

Evaluates direct property, REITs, and real estate debt by return and liquidity. Integrates real estate into multi-asset portfolio construction.

Lesson 2 • Hedge Fund Strategy Analysis

Categorises global macro, event-driven, and arbitrage strategies by risk profile. Enables due diligence and allocation decisions for hedge fund exposure.

Lesson 3 • Private Equity Strategies

Examines buyout, venture, and growth equity structures and return drivers. Connects PE mechanics to portfolio illiquidity premium expectations.

Lesson 4 • Portfolio Integration of Alternatives

Applies correlation, liquidity, and return assumptions to blend alternatives into portfolios. Addresses due diligence and manager selection criteria.

Lesson 1 • Statistical Arbitrage Strategies

Applies pairs trading, cointegration, and mean-reversion models to equity markets. Builds market-neutral systematic strategies with defined entry and exit rules.

Lesson 2 • Quantitative Signal Development

Constructs price, fundamental, and sentiment signals with statistical rigour. Establishes signal quality standards before strategy integration.

Lesson 3 • Backtesting Methodology

Designs rigorous backtests that control for look-ahead and survivorship bias. Produces reliable historical performance estimates for strategy evaluation.

Lesson 4 • Machine Learning in Investing

Applies supervised and unsupervised learning to return prediction and clustering. Evaluates ML model risks including overfitting and regime instability.

Lesson 1 • Value at Risk and Beyond

Computes parametric, historical, and Monte Carlo VaR and identifies their limits. Extends to CVaR and stress testing for tail risk quantification.

Lesson 2 • Factor Risk Decomposition

Decomposes portfolio risk into macro, style, and idiosyncratic factor contributions. Enables precise risk budget allocation and factor exposure management.

Lesson 3 • Liquidity Risk Management

Measures asset and funding liquidity risk under normal and stressed conditions. Integrates liquidity constraints into portfolio construction and sizing.

Lesson 4 • Scenario Analysis and Stress Testing

Designs historical and hypothetical stress scenarios for portfolio resilience. Translates scenario outputs into actionable risk mitigation decisions.