Equity Portfolio Management Training Course

Participants can identify equity return sources and select instruments appropriate to a mandate.

• Common shares, preferred shares, depositary receipts and equity-linked instruments
• Separating income return, price appreciation, currency movement and corporate actions
• Primary offerings, secondary trading, market makers and exchange order books
• Free-float market capitalisation and investability within institutional benchmarks
• Corporate actions including rights issues, stock splits, mergers and spin-offs
• Market microstructure effects on execution cost and reported portfolio returns

Participants can select and document benchmarks that reflect portfolio objectives and investable opportunity sets.

• Benchmark purpose: policy anchor, performance comparator and risk reference
• Capitalisation-weighted, equal-weighted, fundamental and smart-beta index methodologies
• Selecting regional, sectoral and style exposures consistent with mandate objectives
• Assessing benchmark concentration, liquidity, turnover and constituent eligibility
• Custom benchmark construction for restricted, income-focused or liability-aware portfolios
• Rebalancing rules and corporate-action treatment within benchmark maintenance

Participants can form market views using macroeconomic indicators and identifiable market regimes.

• Business-cycle indicators: growth, inflation, policy rates and credit conditions
• Connecting yield curves, earnings expectations and equity valuation multiples
• Market regimes defined by growth, inflation, liquidity and risk appetite
• Scenario assumptions for recession, recovery, stagflation and policy tightening
• Currency movements and their effect on foreign equity portfolio returns
• Recording market views separately from security-specific investment theses

Participants can interpret financial statements to assess earnings quality, financial strength and cash generation.

• Income statement drivers: revenue growth, margins, operating leverage and tax
• Balance sheet review of debt, working capital, provisions and asset quality
• Cash flow reconciliation between accounting earnings, free cash flow and dividends
• Ratio analysis covering profitability, efficiency, liquidity, solvency and coverage
• Identifying aggressive revenue recognition, capitalisation and non-recurring earnings adjustments
• Comparing reported metrics with peer companies and historical operating performance

Participants can estimate intrinsic value and compare valuation results across established equity methods.

• Discounted cash flow forecasts using revenue, margin, tax and reinvestment assumptions
• Weighted average cost of capital derived from capital structure inputs
• Terminal value estimation using perpetuity growth and exit multiple approaches
• Relative valuation through P/E, EV/EBITDA, price-to-book and dividend yield
• Residual income models for firms with material accounting book values
• Sensitivity tables for growth, discount rates, margins and terminal assumptions

Participants can develop a structured investment thesis, valuation case and monitoring triggers for individual equities.

• Research process linking business model, industry structure and financial forecasts
• Investment thesis stated through catalysts, valuation gap and disconfirming evidence
• Porter's Five Forces analysis for competitive position and pricing power
• Management quality assessment through capital allocation, incentives and governance records
• Earnings estimates compared with consensus forecasts and implied market expectations
• Research notes documenting recommendation, target price, risks and review triggers

Participants can identify factor exposures and use them deliberately within an equity portfolio.

• CAPM beta, market risk premium and required return estimation
• Fama-French market, size, value, profitability and investment factor exposures
• Momentum factor construction, signal decay and turnover implications
• Quality, low-volatility and dividend factors within equity style frameworks
• Factor crowding, valuation risk and unintended correlated portfolio positions
• Style drift monitored against stated portfolio process and benchmark exposures

Participants can convert research convictions into diversified equity weights and portfolio limits.

• Top-down and bottom-up approaches to equity portfolio construction
• Position sizing based on conviction, liquidity, downside risk and diversification
• Core-satellite structures balancing benchmark exposure with active investment ideas
• Diversification measured across securities, sectors, countries, currencies and factors
• Active share and tracking error as measures of portfolio differentiation
• Position limits, sector bands and issuer constraints embedded in mandates

Participants can use optimisation outputs and Black-Litterman views without treating models as automatic decisions.

• Mean-variance optimisation using expected returns, volatility and covariance estimates
• Efficient frontier interpretation under long-only and constrained portfolio conditions
• Estimation error and unstable weights produced by unconstrained optimisers
• Black-Litterman equilibrium returns derived from market-capitalisation portfolio weights
• Investor views expressed through confidence levels and relative return assumptions
• Practical constraints for turnover, liquidity, sectors and maximum security weights

Participants can measure portfolio risk and allocate active risk to intended return sources.

• Total risk decomposed into market, sector, factor, currency and specific risk
• Volatility calculation using return frequency, annualisation and rolling observation windows
• Value at Risk estimated through parametric, historical and Monte Carlo methods
• Tracking error calculated against benchmark returns and active portfolio weights
• Risk budgets assigned to sectors, factors, countries and individual securities
• Marginal risk contribution used to identify concentrated portfolio exposures

Participants can test equity portfolios against adverse market scenarios and define response actions.

• Historical stress tests using crisis periods, sell-offs and recovery patterns
• Hypothetical scenarios combining rate shocks, earnings declines and currency movements
• Drawdown analysis measuring peak-to-trough losses and recovery periods
• Liquidity stress testing under reduced trading volumes and widened bid-ask spreads
• Stop-loss policies, review triggers and governance for exceptional market conditions
• Downside metrics including semi-deviation, Sortino ratio and maximum drawdown

Participants can prepare equity trades that meet portfolio objectives while controlling implementation costs.

• Market, limit, stop and algorithmic order types for equity execution
• Implementation shortfall separating delay cost, market impact and opportunity cost
• Pre-trade liquidity assessment using average daily volume and participation rates
• Rebalancing thresholds, calendar rules and tax-aware portfolio adjustments
• Block trades, crossing networks and broker selection for institutional orders
• Post-trade review comparing execution prices against arrival price and benchmarks

Participants can assess when equity derivatives support efficient exposure adjustment and risk control.

• Equity index futures for tactical beta adjustment and cash equitisation
• Options strategies using protective puts, covered calls and collars
• Futures hedge ratios based on portfolio beta and contract notional value
• Basis risk, rollover risk and margin requirements for index futures
• Option Greeks affecting hedge performance under changing market conditions
• Derivative use governed through mandates, collateral rules and counterparty limits

Participants can incorporate material ESG considerations and stewardship actions into equity decisions.

• Material ESG factors assessed alongside financial drivers and valuation assumptions
• Exclusion, integration, thematic and impact approaches to responsible investment
• Climate transition risk reflected in revenue, capital expenditure and discount rates
• Stewardship through voting, engagement objectives, escalation and outcome tracking
• Controversy monitoring, data limitations and greenwashing risk in issuer analysis
• Documenting ESG rationale within research notes and investment committee papers

Participants can calculate and explain portfolio performance relative to appropriate equity benchmarks.

• Time-weighted return calculation for manager performance evaluation and comparison
• Money-weighted return interpretation where external cash-flow timing matters
• Benchmark-relative returns expressed as active return and excess return
• Brinson attribution separating allocation, selection and interaction effects
• Multi-period attribution linking contributions across successive reporting periods
• Performance narratives supported by holdings, trades, factor exposures and market conditions

Participants can assess external equity managers and establish an evidence-based monitoring process.

• Manager due diligence covering philosophy, team, process, controls and capacity
• Evaluating stated alpha sources against holdings, trades and factor exposures
• Performance persistence, peer comparisons and benchmark-relative risk characteristics
• Operational due diligence on valuation, custody, compliance and business continuity
• Watchlist criteria for underperformance, personnel changes, drift and mandate breaches
• Review meeting agendas, action logs and documented manager challenge questions

Participants can prepare concise portfolio reports that support decisions by senior investment stakeholders.

• Portfolio dashboard showing returns, active risk, exposures, liquidity and compliance
• Attribution commentary linking performance outcomes to prior investment decisions
• Exception reporting for limit breaches, drawdowns, valuation changes and liquidity
• Committee papers presenting recommendation, evidence, alternatives, risks and required approval
• Chart selection for performance, exposures, drawdowns and benchmark comparisons
• Plain-language communication of uncertainty, scenarios and model limitations

Participants can integrate research, construction, risk and governance decisions into a coherent equity portfolio process.

• Reconciling mandate objectives with benchmark choice, investment universe and constraints
• Combining macro views, valuation findings and factor exposures into portfolio decisions
• Reviewing proposed weights against diversification, liquidity and active-risk limits
• Testing portfolio resilience under defined market, sector and currency scenarios
• Preparing trade rationale, implementation instructions and post-trade monitoring requirements
• Refining investment committee materials after structured challenge and review

Participants can build, review and present a complete equity portfolio recommendation with supporting analysis, controls and monitoring plans.

• Drafting a mandate-specific investment policy statement and benchmark recommendation
• Selecting securities using documented research, valuation and investment-thesis evidence
• Constructing portfolio weights with factor, sector, liquidity and risk constraints
• Calculating expected return, tracking error, beta and key concentration measures
• Producing stress-test results, trade plan and ongoing monitoring calendar
• Presenting portfolio rationale, risks and performance framework to an investment committee