Course Introduction
The Investment Performance Measurement Audit Training Course provides a practical framework for auditing investment performance measurement processes, portfolio returns, benchmark comparisons, performance reporting, attribution analysis, and related investment data. The course equips participants with the skills needed to assess whether reported investment performance is accurate, complete, consistent, reproducible, and supported by reliable underlying records.
The course examines the complete performance measurement lifecycle, from investment transaction capture, portfolio valuation, cash-flow processing, and return calculation through benchmark selection, performance attribution, reporting, review, and investor communication. Participants learn how errors in prices, holdings, cash flows, timing, fees, corporate actions, foreign exchange rates, or benchmark data can materially affect reported performance.
A major focus is placed on independently testing investment returns and performance calculations. Participants examine time-weighted and money-weighted returns, periodic returns, annualized performance, cumulative returns, benchmark-relative performance, and the treatment of external cash flows. Practical audit procedures are developed for recalculating performance measures, validating source data, investigating differences, and assessing whether calculation methodologies have been consistently applied.
The course also addresses benchmark governance and performance attribution. Participants learn how to evaluate benchmark selection, benchmark data integrity, benchmark changes, strategic asset allocation comparisons, sector and security attribution, allocation and selection effects, currency effects, and other performance drivers. Attention is given to ensuring that attribution results are consistent with portfolio holdings, transactions, valuations, and documented methodologies.
Modern investment performance measurement relies heavily on portfolio management systems, performance platforms, custodial data, market-price feeds, benchmark providers, automated calculations, and data interfaces. The course therefore incorporates technology risks, data lineage, automated controls, access management, cybersecurity, system changes, artificial intelligence, data analytics, and continuous monitoring techniques relevant to investment performance assurance.
Through practical exercises and case studies, participants develop the ability to audit investment performance from source portfolio data through final performance reports. They learn to reconcile investment records, independently recalculate returns, validate benchmarks, test attribution, assess fee and expense effects, investigate unusual results, evaluate control effectiveness, document audit evidence, and develop recommendations that improve the reliability and transparency of investment performance reporting.
Duration
5 days
Who Should Attend
-
Internal auditors responsible for investment management and portfolio performance audits.
-
External auditors reviewing investment performance information and asset management processes.
-
Investment performance analysts responsible for calculating and reporting portfolio returns.
-
Portfolio managers seeking stronger understanding of performance measurement controls and assurance.
-
Asset management operations professionals responsible for investment data and performance processes.
-
Fund accountants involved in portfolio valuation, investment income, and performance reporting.
-
Risk managers assessing investment performance, benchmark, valuation, and data risks.
-
Compliance professionals reviewing performance reporting practices and investment management controls.
-
Investment operations professionals managing portfolio transactions, reconciliations, and performance data.
-
Performance measurement and attribution specialists responsible for analytical reporting.
-
Custody professionals supporting portfolio data, valuations, cash flows, and investment reconciliations.
-
Finance professionals involved in investment accounting and financial performance reporting.
-
Information technology auditors assessing investment performance systems, interfaces, and automated controls.
-
Data analytics professionals supporting investment performance testing and exception identification.
-
Governance, investment oversight, and assurance professionals seeking practical performance audit skills.
Course Objectives
-
Develop a comprehensive understanding of investment performance measurement processes, methodologies, controls, data sources, and audit risks.
-
Evaluate the integrity of portfolio holdings, transactions, valuations, cash flows, income, expenses, and other inputs used in performance calculations.
-
Independently recalculate investment returns and assess whether reported performance is mathematically accurate, complete, consistent, and reproducible.
-
Apply audit procedures to time-weighted returns, money-weighted returns, annualized returns, cumulative returns, and other portfolio performance measures.
-
Assess benchmark selection, benchmark data, benchmark changes, benchmark governance, and the appropriateness of portfolio-to-benchmark comparisons.
-
Audit performance attribution processes and evaluate whether allocation, selection, currency, sector, security, and other performance effects are properly calculated.
-
Identify errors arising from incorrect prices, missing transactions, inaccurate cash flows, corporate actions, foreign exchange rates, fees, expenses, or system interfaces.
-
Evaluate technology-enabled performance measurement processes, including automated calculations, data feeds, system access, changes, interfaces, audit trails, and data lineage.
-
Apply data analytics and exception testing to identify unusual returns, unexplained performance movements, benchmark anomalies, duplicate records, and inconsistent performance results.
-
Develop evidence-based audit findings and practical recommendations that strengthen performance measurement governance, reporting reliability, data quality, and investment oversight.
Comprehensive Course Outline
Module 1: Investment Performance Measurement and Audit Fundamentals
-
Understanding investment performance measurement objectives, processes, stakeholders, reporting requirements, and key sources of audit risk.
-
Mapping the performance measurement lifecycle from portfolio transactions and valuation through return calculation, attribution, review, and reporting.
-
Distinguishing portfolio performance, benchmark performance, relative performance, investment income, and accounting-based financial results.
-
Developing a risk-based audit approach covering calculation methodology, data integrity, valuation, benchmarks, controls, and reporting.
Module 2: Portfolio Data, Transactions, and Valuation Inputs
-
Auditing portfolio holdings, investment transactions, cash balances, income, expenses, corporate actions, and other data used in performance calculations.
-
Testing the completeness and accuracy of transaction dates, settlement dates, quantities, prices, currencies, and portfolio positions.
-
Reconciling performance system data with custodian records, investment accounting systems, broker confirmations, and portfolio management platforms.
-
Evaluating valuation controls, pricing sources, stale prices, pricing overrides, valuation adjustments, and the impact of valuation errors on performance.
Module 3: Investment Return Calculation Auditing
-
Understanding and auditing time-weighted returns, money-weighted returns, periodic returns, cumulative returns, and annualized performance measures.
-
Testing the treatment of external cash flows, subscriptions, redemptions, transfers, contributions, withdrawals, and portfolio rebalancing events.
-
Independently recalculating investment returns using verified portfolio values, cash flows, income, expenses, and transaction information.
-
Investigating differences between independently calculated returns and reported performance and determining appropriate corrective procedures.
Module 4: Benchmark Selection and Benchmark Data Auditing
-
Evaluating benchmark selection criteria, investment mandates, strategic objectives, asset-class alignment, and documented benchmark governance.
-
Auditing benchmark data for completeness, accuracy, valuation dates, currency, return methodology, and source reliability.
-
Testing benchmark changes, restatements, rebalancing, corporate actions, constituent changes, and historical data revisions.
-
Assessing controls over benchmark mapping, benchmark maintenance, approvals, data feeds, and portfolio-to-benchmark comparisons.
Module 5: Performance Attribution and Contribution Analysis
-
Understanding performance attribution methodologies and the relationship between portfolio returns, benchmark returns, and performance contributions.
-
Auditing allocation effects, selection effects, interaction effects, sector contributions, security contributions, and other attribution components.
-
Testing portfolio weights, benchmark weights, returns, classifications, and other inputs used in attribution calculations.
-
Investigating unexplained attribution differences, residuals, calculation inconsistencies, and methodology changes affecting reported results.
Module 6: Investment Income, Fees, Expenses, and Performance Adjustments
-
Assessing the treatment of dividends, interest, realized gains, unrealized gains, withholding taxes, and other investment income in performance calculations.
-
Auditing management fees, performance fees, custody charges, administration costs, transaction costs, taxes, and other expenses affecting investment returns.
-
Testing gross and net performance calculations and determining whether fee treatments are consistent with documented performance policies.
-
Evaluating performance adjustments arising from corrections, backdated transactions, valuation changes, corporate actions, and accounting adjustments.
Module 7: Performance Controls, Governance, and Reporting
-
Evaluating segregation of duties between portfolio management, performance measurement, investment operations, valuation, data management, and reporting functions.
-
Testing review and approval controls over performance calculations, exceptions, manual adjustments, restatements, and published reports.
-
Assessing performance policies, calculation methodologies, documentation standards, governance committees, and escalation procedures.
-
Reviewing performance reports for accuracy, consistency, transparency, appropriate disclosures, and reconciliation to underlying investment records.
Module 8: Technology, Data Analytics, and Automated Performance Measurement
-
Auditing performance measurement platforms, portfolio systems, data warehouses, benchmark interfaces, pricing feeds, and automated calculation engines.
-
Evaluating system access, privileged permissions, configuration, change management, interfaces, automated controls, audit trails, and data lineage.
-
Applying data analytics to identify unusual returns, extreme performance movements, benchmark deviations, duplicate records, missing data, and unexplained exceptions.
-
Using automation, artificial intelligence, continuous monitoring, and analytical dashboards to strengthen investment performance audit procedures.
Module 9: Fraud Risks, Data Integrity, and Performance Manipulation
-
Identifying risks involving manipulated valuations, selective transactions, incorrect benchmarks, delayed loss recognition, inappropriate adjustments, and performance smoothing.
-
Evaluating the potential impact of management override, unauthorized system changes, manual performance adjustments, and inaccurate source data.
-
Applying professional skepticism, substantive testing, reconciliations, analytical procedures, and independent evidence to investigate unusual performance results.
-
Assessing data integrity, cybersecurity, unauthorized access, interface failures, and other technology risks that could distort investment performance information.
Module 10: Performance Audit Reporting, Remediation, and Practical Case Studies
-
Preparing audit findings that clearly connect performance measurement deficiencies to evidence, root causes, financial implications, reporting risks, and control weaknesses.
-
Evaluating practical case studies involving incorrect returns, benchmark errors, attribution differences, valuation problems, fee miscalculations, and data failures.
-
Developing corrective actions covering calculation methodologies, data governance, valuation controls, benchmark management, system controls, and performance review processes.
-
Performing audit follow-up, remediation validation, performance restatement review, escalation, closure assessment, and reporting of significant or recurring deficiencies.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
