Investment Portfolio Management Training Course

Participants can calculate and interpret core return and risk measures for investment decisions.

• Holding-period return, total return and annualised return calculation methods
• Arithmetic versus geometric mean returns for multi-period performance analysis
• Standard deviation, variance and coefficient of variation as dispersion measures
• Probability distributions, expected return and downside outcome interpretation
• Correlation and covariance effects on combined portfolio risk
• Separating systematic risk from security-specific risk using beta

Participants can develop defensible capital market assumptions from economic and market evidence.

• Business-cycle indicators: inflation, growth, employment, policy rates and credit conditions
• Yield curve signals for expected growth, inflation and interest-rate changes
• Building return assumptions for equities, bonds, cash and real assets
• Estimating volatility, correlation and downside assumptions from historical data
• Scenario analysis for recession, inflation shock and monetary tightening
• Documenting assumption sources, review dates and investment committee approvals

Participants can create a strategic asset allocation aligned with mandate objectives and constraints.

• Asset-class roles within growth, income, liquidity and capital-preservation objectives
• Mean-variance optimisation using expected returns, volatility and correlation inputs
• Efficient frontier interpretation for competing risk and return combinations
• Selecting strategic weights under liquidity, liability and regulatory constraints
• Rebalancing bands, frequency rules and transaction-cost considerations
• Comparing policy portfolios with actual allocations and permitted ranges

Participants can assess tactical allocation decisions within controlled deviations from strategic policy.

• Tactical allocation rationale based on valuation, momentum and macroeconomic signals
• Defining active risk budgets and approved tactical deviation ranges
• Market timing evidence, behavioural traps and governance safeguards
• Tracking error measurement against strategic policy portfolio weights
• Rebalancing decisions after market moves, cash flows and valuation changes
• Recording tactical decisions, exit criteria and post-decision reviews

Participants can assess equity market, sector and company factors affecting portfolio holdings.

• Equity return drivers: earnings growth, dividends, valuation and sentiment
• Top-down analysis linking macroeconomic conditions to sector performance
• Industry structure assessed through Porter’s Five Forces framework
• Company analysis using revenue drivers, margins, cash conversion and competitive position
• Quality indicators: return on equity, operating margin and earnings stability
• Identifying equity concentration risks by issuer, sector, country and factor

Participants can value equity securities and form evidence-based selection recommendations.

• Dividend discount model assumptions, growth rates and terminal value
• Free cash flow to equity valuation from forecast financial statements
• Price-to-earnings, price-to-book and EV/EBITDA comparable-company analysis
• Normalising earnings for cyclicality, one-off items and accounting choices
• Estimating required return using CAPM inputs and equity risk premium
• Writing investment theses with catalysts, valuation ranges and downside risks

Participants can analyse bond cash flows, yields and key fixed-income market conventions.

• Bond cash-flow structures: coupon, principal, amortising and zero-coupon instruments
• Price-yield relationship and accrued interest under market quotation conventions
• Yield to maturity, current yield and yield-to-call interpretation
• Government, corporate, municipal and sovereign bond risk characteristics
• Spot rates, forward rates and discount factors from yield curves
• Embedded options in callable, putable and convertible bond structures

Participants can manage duration, curve and spread exposures within fixed-income portfolios.

• Modified duration estimation for parallel interest-rate sensitivity measurement
• Convexity adjustment for larger yield changes and non-linear price effects
• Key rate duration for yield-curve positioning and exposure control
• Credit spread duration and spread-widening scenario analysis
• Immunisation matching asset duration with liability timing requirements
• Bond laddering, barbell and bullet strategies for cash-flow management

Participants can evaluate issuer creditworthiness and control credit portfolio exposures.

• Credit analysis using business risk, financial risk and management assessment
• Ratio analysis: interest coverage, debt service and free cash flow
• Reading credit ratings, outlooks, watchlists and rating migration risks
• Probability of default, loss given default and expected loss concepts
• Issuer limits, sector limits and counterparty concentration controls
• Credit-event scenarios covering downgrade, default, restructuring and liquidity stress

Participants can assess the portfolio role, risks and due diligence needs of alternative investments.

• Real estate, infrastructure, private equity and hedge fund return drivers
• Illiquidity premium, lock-up terms and capital-call planning requirements
• Appraisal smoothing and valuation uncertainty in private market holdings
• Commodity exposure, roll yield and inflation-hedging characteristics
• Due diligence on fund strategy, fees, liquidity and operational controls
• Sizing alternative allocations within governance, liquidity and valuation constraints

Participants can evaluate derivative uses for hedging portfolio market exposures.

• Futures contracts for equity, interest-rate and currency exposure adjustment
• Interest-rate swaps for duration management and cash-flow transformation
• Options strategies using puts, calls, collars and protective overlays
• Hedging ratio calculation using beta, duration and contract specifications
• Basis risk, margin calls and collateral management requirements
• Derivative mandate limits, counterparty controls and documentation standards

Participants can measure portfolio risks and establish practical monitoring limits.

• Market risk measured through volatility, beta and tracking error
• Value at Risk methods: parametric, historical simulation and Monte Carlo
• Expected shortfall for tail-loss measurement beyond Value at Risk
• Liquidity risk assessed through dealing periods, market depth and liquidation costs
• Concentration limits by issuer, sector, country, currency and asset class
• Risk dashboards linking limits, breaches, actions and accountable owners

Participants can design stress tests that reveal material portfolio vulnerabilities.

• Historical scenarios drawn from crises, rate shocks and credit sell-offs
• Hypothetical scenarios linking macro shocks to asset-class return assumptions
• Reverse stress testing to identify portfolio-breaking market conditions
• Sensitivity analysis for rates, spreads, equity prices and currencies
• Combining correlated shocks rather than testing risks in isolation
• Escalation actions for limit breaches, collateral demands and liquidity shortfalls

Participants can construct diversified portfolios using quantitative inputs and investment judgement.

• Security weights set through conviction, risk contribution and mandate limits
• Risk parity allocation using equalised marginal risk contributions
• Black-Litterman model combining market equilibrium returns with investor views
• Optimisation constraints addressing turnover, liquidity, taxes and position limits
• Active share and tracking error for active portfolio design
• Testing portfolio sensitivity to assumptions, estimation error and constraints

Participants can select appropriate benchmarks and evaluate internal or external investment managers.

• Benchmark properties: investable, measurable, representative, predetermined and unambiguous
• Policy benchmarks matched to strategic asset allocation and liability objectives
• Peer-group comparisons and their limitations for mandate evaluation
• Manager due diligence covering philosophy, process, people and capacity
• Fee analysis including management fees, performance fees and trading costs
• Manager watchlists, termination criteria and transition planning requirements

Participants can calculate performance measures and explain the sources of portfolio results.

• Time-weighted return versus money-weighted return for different reporting purposes
• Sharpe ratio, Treynor ratio and information ratio interpretation
• Jensen’s alpha and CAPM-based assessment of manager value added
• Brinson attribution separating allocation, selection and interaction effects
• Fixed-income attribution using duration, curve, spread and security effects
• GIPS principles for fair, consistent and supportable performance presentation

Participants can prepare investment reporting that supports informed oversight and decisions.

• Investment committee packs presenting performance, risks, decisions and required actions
• Exception reporting for mandate breaches, limit overruns and policy deviations
• Attribution commentary distinguishing market effects from manager decisions
• Narrative risk reporting linked to scenarios, controls and pending decisions
• Meeting minutes documenting rationale, dissent, approvals and follow-up actions
• Annual policy review covering objectives, assumptions, governance and manager arrangements

Participants can identify behavioural biases and apply controls that improve investment decisions.

• Loss aversion, overconfidence and anchoring in investment judgement
• Herding behaviour, recency bias and momentum-chasing decision patterns
• Pre-mortem analysis to expose assumptions before capital commitment
• Decision journals recording thesis, evidence, risks and expected outcomes
• Independent challenge roles within investment committee review processes
• Post-investment review comparing original thesis with realised results

Participants can build, review and present a complete investment portfolio proposal for an investment committee.

• Define client objectives, constraints, governance structure and investment policy statement
• Develop capital market assumptions with documented evidence and scenario ranges
• Construct strategic allocation, tactical ranges and rebalancing rules
• Select securities or funds using valuation, credit and due-diligence evidence
• Calculate portfolio return expectations, risks, limits and stress-test outcomes
• Specify benchmarks, performance measures, attribution approach and reporting calendar
• Present recommendation, defend assumptions and respond to committee challenge