CPA Australia Financial Risk Management study plan
CPA Australia Financial Risk Management · Give each week a clear focus.
8 weeks · About 6 hours per week
Financial risk management fundamentals and governance
Map the risk governance architecture: board risk appetite statement, three lines of defence, CRO reporting lines and board risk committee charter, and explain in writing how each layer constrains risk-taking
Define each major risk taxonomy (market, credit, liquidity, operational, model, enterprise) and classify ten real or constructed loss events into the correct category with justification
Distinguish risk appetite, risk tolerance, risk capacity and risk limit, and draft a one-page cascade showing how a board appetite statement translates into desk-level limits
Explain the Basel framework's three pillars and where each pillar touches governance, measurement and disclosure obligations for an authorised deposit-taking institution
Your checkpoint
A two-page governance map plus a 10-event risk classification table with justifications, self-marked against the syllabus learning outcomes
Market risk measurement and management
Calculate and interpret the main market risk measures: volatility, variance-covariance VaR, historical simulation VaR and Monte Carlo VaR, on the same small portfolio so the differences in assumptions are visible
Compute parametric and full-revaluation delta-gamma VaR for an option position and explain why linear approximation understates risk for convex payoffs
Evaluate VaR's limitations (tail blindness, subadditivity failures, procyclicality) and contrast it with expected shortfall and stressed VaR
Perform and interpret backtesting: count exceptions against a 99% one-day VaR over 250 days, apply the Basel traffic-light zones and state the capital consequence
Your checkpoint
A worked spreadsheet with four VaR methods on one portfolio, a backtesting exception count with traffic-light classification, and a 300-word note on which method you would defend to a risk committee and why
Market risk measurement and management
Decompose fixed income risk into duration, modified duration, convexity and key-rate exposures, and quantify the P&L effect of a 50 basis point parallel and steepening shift
Explain the mechanics of interest rate parity, purchasing power parity and the carry trade, and identify which exposures a corporate treasurer should hedge versus leave open
Distinguish translation, transaction and economic FX exposure and select an appropriate hedge ratio and instrument for each
Interpret Greeks (delta, gamma, vega, theta, rho) and describe how a delta-hedged book can still carry large gamma and vega risk
Apply the Basel market risk approaches at a conceptual level: standardised approach versus internal models approach, and the FRTB shift from VaR to expected shortfall with liquidity horizons
Your checkpoint
A sensitivity table for a mixed bond, FX and option portfolio showing P&L under three specified shock scenarios, with a written recommendation on which exposures to hedge
Credit risk measurement and management
Build a counterparty credit risk profile: compute exposure at default, probability of default and loss given default, then derive expected loss and explain unexpected loss and economic capital
Distinguish current exposure, potential future exposure and peak exposure for a derivative counterparty, and explain the role of netting, collateral and margin in reducing credit exposure
Compute credit metrics for a single obligor and a two-obligor portfolio, showing how correlation changes portfolio unexpected loss
Compare credit scoring, ratings migration, structural (Merton) and reduced-form default models, stating the key assumption each makes
Explain credit risk mitigation techniques and their legal and operational conditions for capital recognition, including guarantees, credit derivatives and collateral haircuts
Your checkpoint
A credit risk assessment pack for one hypothetical corporate obligor: PD/LGD/EAD/expected loss calculation, PFE profile summary, mitigation recommendation and a one-page credit memo
Credit risk measurement and management & Liquidity and funding risk management
Apply the Basel credit risk approaches: standardised, foundation IRB and advanced IRB, and identify which parameters the bank estimates under each
Analyse securitisation and concentration risk, explaining how tranching redistributes loss and why correlation assumptions are the critical model input
Construct a simple cash-flow maturity ladder and compute the liquidity coverage ratio and net stable funding ratio from a given balance sheet, identifying the shortfall
Distinguish funding liquidity from market liquidity, and explain how a funding shock becomes a solvency event through fire sales and margin calls
Evaluate a contingency funding plan: early warning indicators, trigger levels, funding diversification and the role of central bank facilities
Your checkpoint
A liquidity stress test on a constructed balance sheet showing LCR and NSFR under base and stressed scenarios, plus a one-page contingency funding plan outline with three early warning indicators and triggers
Liquidity and funding risk management & Operational, model and enterprise risk management
Explain intraday liquidity risk and the role of payment and settlement systems (RTGS, CLS) in transmitting liquidity shocks between institutions
Build a risk and control self-assessment for one process, identifying inherent risk, control effectiveness, residual risk and a remediation action with an owner and date
Analyse an operational loss event end to end: root cause, control failure, Basel event-type classification, and the capital and reputational consequences
Describe model risk management: inventory, tiering, independent validation, ongoing monitoring, and the controls that prevent a model being used outside its validated scope
Explain how enterprise risk management aggregates risk types, sets risk appetite limits and reports through a risk dashboard to the board
Your checkpoint
A completed RCSA for one process plus a model inventory entry for one model with validation findings and a residual-risk rating
Operational, model and enterprise risk management & Derivatives, hedging and risk transfer
Map operational risk capital approaches (basic indicator, standardised, advanced measurement) and explain the loss-distribution approach and its data challenges
Distinguish forwards, futures, swaps and options, and match each to a specific hedging need with a rationale for instrument choice
Evaluate hedge accounting and economic hedging: basis risk, hedge effectiveness testing, over-hedging and the accounting volatility that arises when hedges do not qualify
Construct a worked hedge for a specified exposure using a forward or swap, quantify the hedge outcome under two price scenarios, and show the residual basis risk
Identify the risks that hedging cannot transfer, including counterparty credit risk on the hedge itself and liquidity risk from margin calls on cleared derivatives
Your checkpoint
A hedging case study: exposure identified, instrument selected with justification, two-scenario outcome quantified, residual and counterparty risks documented
Financial risk management fundamentals and governance & Market risk measurement and management & Credit risk measurement and management & Liquidity and funding risk management & Operational, model and enterprise risk management & Derivatives, hedging and risk transfer
Consolidate all domains into a one-page integrated risk framework showing how market, credit, liquidity, operational and model risk interact and where they are governed
Diagnose weak areas using timed practice under exam conditions, and re-teach the three weakest topics from first principles
Rehearse written responses that require judgement (limit breaches, model failures, liquidity crises) using a structured answer format of issue, analysis, recommendation
Verify recall of key formulas, ratios and regulatory thresholds without notes, and close any remaining gaps
Your checkpoint
A timed mock exam completed under exam conditions with a scored error log, plus a one-page integrated risk framework and a prioritised list of remaining gaps with a revision action for each
Milestones
Week 2: Can compute parametric, historical and Monte Carlo VaR on the same portfolio without notes, explain why the three numbers differ, and correctly classify a backtesting exception count into the Basel traffic-light zones
Week 4: Can derive expected loss from PD, LGD and EAD for a single obligor, explain PFE and the credit mitigation effect of netting and collateral, and score at least 70% on a self-set 20-question credit risk quiz
Week 6: Can compute LCR and NSFR from a balance sheet, identify the binding constraint, complete an RCSA with residual risk rating, and explain model validation requirements to a hypothetical risk committee
Week 8: Complete a full timed mock under exam conditions, score and log every error by domain, and demonstrate note-free recall of the core formulas, ratios and regulatory thresholds across all six domains