Pension Fund Performance Analysis Training Course

Participants can calculate and interpret core return measures for pension fund portfolios.

• Holding-period return calculated from opening value, income and closing value
• Time-weighted return isolates manager performance from external cash flows
• Money-weighted return reflects cash-flow timing using internal rate of return
• Annualisation conventions for monthly, quarterly and multi-year performance periods
• Geometric linking produces cumulative returns across consecutive measurement periods
• Gross, net-of-fee and net-of-tax returns distinguished in performance reports

Participants can identify data and valuation issues that can distort reported performance.

• Position, transaction and cash data reconciled before return calculation
• Independent price verification for listed securities and pooled fund units
• Fair-value hierarchy applied to private assets and thinly traded holdings
• Corporate actions, accrued income and tax reclaims treated consistently
• Error-correction policy sets thresholds, restatement procedures and approval responsibilities
• Data lineage documents sources, transformations and report-level control checks

Participants can select and document benchmarks that reflect pension fund mandates and objectives.

• Policy benchmark mirrors strategic asset allocation and approved asset-class weights
• Market indices selected for investability, transparency, currency and market coverage
• Custom benchmarks reflect mandate constraints, duration targets and liability characteristics
• Benchmark rebalancing rules prevent unintended drift from strategic allocation assumptions
• Cash benchmark conventions address collateral, subscriptions and temporary uninvested assets
• Benchmark governance records approval, changes, rationale and effective dates

Participants can assess how strategic asset allocation influences pension fund performance outcomes.

• Strategic asset allocation links expected return with funding and liquidity needs
• Capital market assumptions document return, volatility and correlation inputs
• Mean-variance optimisation limitations for long-horizon pension fund decision-making
• Asset-liability modelling tests contribution, inflation and longevity sensitivities
• Rebalancing bands control allocation drift while managing transaction costs
• Policy portfolio return separated from implementation and manager-level results

Participants can attribute multi-asset portfolio returns to allocation and implementation decisions.

• Brinson-Fachler attribution separates allocation, selection and interaction effects
• Sector and country attribution explains equity manager relative returns
• Currency attribution distinguishes local-market returns from exchange-rate effects
• Fixed-income attribution identifies duration, curve, spread and security effects
• Multi-period attribution links effects without obscuring compounding relationships
• Attribution narrative reconciles calculations with investment decisions and market events

Participants can evaluate whether pension fund returns adequately compensated for risk taken.

• Standard deviation measures total return variability over defined observation periods
• Tracking error quantifies active risk relative to an assigned benchmark
• Information ratio assesses active return per unit of active risk
• Sharpe ratio compares excess return with total portfolio volatility
• Sortino ratio focuses on harmful downside variation below target returns
• Maximum drawdown reveals peak-to-trough loss severity and recovery duration

Participants can assess pension portfolio resilience under adverse market and funding conditions.

• Value at Risk methods compared: historical, parametric and Monte Carlo
• Expected shortfall estimates average loss beyond the selected confidence threshold
• Historical stress tests revisit inflation shocks, rate rises and equity crashes
• Forward-looking scenarios combine market moves with liability and collateral impacts
• Reverse stress testing identifies conditions that breach funding or liquidity limits
• Scenario outputs translated into actions for trustees and investment committees

Participants can analyse bond and liability-driven investment performance against liability objectives.

• Modified duration estimates price sensitivity to parallel interest-rate movements
• Key-rate duration identifies exposure across different maturity points
• Yield-curve attribution separates level, slope and curvature return effects
• Credit-spread analysis distinguishes spread carry from spread-movement effects
• Liability benchmark measures asset performance against discounted benefit obligations
• Hedging effectiveness assessed against interest-rate and inflation liability sensitivities

Participants can apply appropriate performance methods to listed and illiquid pension fund assets.

• Equity style analysis identifies factor tilts and unintended portfolio exposures
• Public-market equivalent compares private investment outcomes with listed market alternatives
• Internal rate of return limitations for private equity fund comparisons
• Total value to paid-in capital measures realised and unrealised private asset value
• Vintage-year analysis separates manager outcomes from private-market cycle effects
• Appraisal smoothing recognised when interpreting property and infrastructure returns

Participants can quantify the effect of investment fees and implementation costs on member outcomes.

• Management fees, performance fees and carried interest mapped by mandate
• Transaction costs estimated through commissions, spreads, taxes and market impact
• Fee waterfalls tested against hurdle rates, catch-ups and high-water marks
• Net return reporting reconciles manager statements with fund-level expense records
• Cost drag projected over pension horizons using compound-return comparisons
• Fee benchmarking compares mandates with comparable strategy, scale and complexity

Participants can conduct structured performance reviews of external investment managers.

• Manager scorecards combine performance, risk, people, process and mandate compliance
• Rolling-period analysis reduces dependence on a single endpoint return
• Peer-group comparisons controlled for style, geography, benchmark and fee basis
• Style drift detected through holdings, factor exposures and attribution patterns
• Watchlist criteria define escalation triggers, remediation periods and termination decisions
• Due-diligence findings connected to performance evidence and governance actions

Participants can assess performance and risks arising from currency and derivative overlay programmes.

• Currency hedging ratios measured against approved foreign-exchange risk policy
• Forward contracts attributed between carry, spot movements and hedge timing
• Derivative collateral cash flows incorporated into total portfolio return calculations
• Overlay performance separated from underlying asset-manager performance and benchmarks
• Swap valuations reviewed for counterparty exposure and collateral sufficiency
• Options strategies assessed through delta, gamma, theta and realised payoffs

Participants can evaluate whether pension fund assets can meet benefit and collateral obligations.

• Benefit-payment forecast combines retirements, transfers, expenses and contribution receipts
• Liquidity buckets classify holdings by settlement period and stressed saleability
• Capital-call and distribution forecasts inform private-market pacing decisions
• Collateral waterfall identifies cash demands from derivatives and repo arrangements
• Liquidity coverage ratio compares available liquidity with projected stressed outflows
• Forced-sale risk assessed alongside rebalancing, funding and manager redemption terms

Participants can prepare clear performance reporting using recognised standards and appropriate disclosures.

• GIPS principles considered when reviewing composite and pooled-fund performance claims
• IAS 19 disclosures connect pension assets with defined benefit obligations
• Performance report structure separates headline results, drivers, risks and decisions
• Return tables show calendar, rolling, annualised and since-inception periods
• Materiality thresholds distinguish significant deviations from routine market movements
• Committee papers state recommendations, owners, deadlines and required approvals

Participants can connect investment performance analysis with funding positions and accounting effects.

• Funding ratio movements decomposed into asset return, liability change and contributions
• Discount-rate changes assessed against bond portfolio and liability-hedging performance
• Inflation sensitivity links benefit indexation with real-asset and inflation-hedge outcomes
• Actuarial assumptions examined for salary growth, longevity and member behaviour
• Sponsor covenant considerations inform acceptable investment and liquidity risk
• Funding recovery plans translated into investment return and contribution requirements

Participants can present performance findings clearly and respond to investment committee challenge.

• Executive summaries state results, causes, implications and requested decisions
• Performance narratives distinguish known facts, judgement and forward-looking assumptions
• Charts selected for return comparison, attribution, drawdown and funding movements
• Committee questions anticipated on benchmarks, fees, risk and manager accountability
• Recommendation options compare expected benefits, costs, risks and implementation constraints
• Meeting minutes capture challenge, evidence, decisions and follow-up responsibilities

Participants can build, review and present a complete pension fund performance analysis pack for an investment committee.

• Portfolio data converted into auditable returns, benchmarks and attribution outputs
• Risk dashboard integrates volatility, drawdown, tracking error and stress-test results
• Manager scorecards assess mandate compliance, fees, style and relative performance
• Funding analysis links asset results with liability movements and liquidity forecasts
• Investment committee paper presents findings, recommendations, owners and decision points
• Peer review tests calculation integrity, evidence quality and recommendation clarity