Certificate Course in Investment Analysis

Duration 10 days 18 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Investment Analysts, Treasury Analysts and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-TI-017

Before you join: Participants should be comfortable reading an income statement, balance sheet and cash flow statement, and should understand basic accounting terms such as revenue, depreciation, working capital, debt and equity.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Investment decisions fail when analysts rely on headline ratios, management guidance or market momentum without testing the underlying economics. Treasury teams, investment committees, banks and corporate finance functions need analysts who can convert financial statements, market data and macroeconomic assumptions into defensible valuations, credit views and portfolio recommendations. The work requires disciplined judgement: identifying value drivers, normalising reported performance, modelling cash flows, assessing downside risk and explaining conclusions clearly.

This certificate course develops the core analytical capability expected of an investment analyst. Participants examine economic and industry conditions; analyse financial statements; forecast revenue, margins, capital expenditure and free cash flow; value equity using discounted cash flow, trading multiples and precedent transactions; assess bonds, credit quality and interest-rate risk; and construct portfolios against stated risk and return objectives. The programme also covers derivatives, investment performance measurement, behavioural biases, research governance and professional ethics.

Teaching combines concise technical briefings with financial-model builds, analyst research cases, valuation reviews, portfolio simulations and structured peer challenge. Participants work with realistic company, bank, infrastructure and sovereign-investment scenarios, using the same evidence trails expected in investment committee papers. They leave with a reusable investment-analysis workbook containing a three-statement forecast, valuation model, credit assessment, portfolio rationale and investment recommendation.

The programme suits professionals who prepare, review or use investment recommendations, including analysts in banks, asset managers, corporate treasury functions, family offices, pension funds, development finance institutions and public-sector investment bodies. It is also relevant to finance professionals moving from reporting, audit, credit or treasury roles into analytical investment work.

What you will be able to do

  • Analyse macroeconomic, industry and competitive conditions using PESTLE and Porter's Five Forces
  • Recast financial statements and calculate profitability, liquidity, efficiency and solvency ratios
  • Build integrated three-statement forecasts from operating, financing and working-capital assumptions
  • Value listed companies using discounted cash flow, trading multiples and precedent transactions
  • Assess bond prices, yields, duration, credit quality and interest-rate sensitivity
  • Construct diversified portfolios using strategic asset allocation, correlation and risk-adjusted return measures
  • Write investment recommendations supported by valuation evidence, catalysts, risks and scenario analysis
  • Present a complete investment case to an investment committee using a defensible analytical model

Benefits of attending

For you

  • Produce analyst-standard company valuations with transparent assumptions and sensitivities
  • Move from ratio commentary to evidence-based investment conclusions
  • Assess equity, bond and portfolio opportunities using consistent analytical methods
  • Present recommendations with clearer treatment of risk, catalysts and valuation range
  • Build a reusable model set for investment, treasury and corporate-finance assignments

For your organisation

  • Improve consistency of investment cases submitted to treasury and investment committees
  • Strengthen challenge of management forecasts, valuation assumptions and transaction proposals
  • Reduce reliance on unsupported market commentary and headline financial ratios
  • Create clearer audit trails from source data through modelling to recommendation
  • Improve risk-adjusted allocation of surplus cash, investment capital and portfolio mandates

Course modules

18 modules over 10 days

Participants can structure an investment-analysis process from mandate through recommendation and monitoring.

  • Investment mandates, return objectives, constraints and governance responsibilities defined
  • Primary and secondary markets mapped across equity, debt and derivatives
  • Buy-side, sell-side and corporate treasury analyst roles compared
  • Research process sequenced from screening through monitoring and exit
  • Information sources assessed for timeliness, reliability, bias and materiality
  • Investment committee papers structured around thesis, valuation, risks and action

Participants can translate macroeconomic indicators into investment implications for major asset classes.

  • Business-cycle indicators linked to earnings, inflation and asset returns
  • Monetary policy transmission assessed through rates, credit and currency channels
  • Inflation measures distinguished between headline, core and expected inflation
  • Yield curves interpreted for growth expectations and recession signals
  • Exchange-rate regimes compared using interest-rate parity and purchasing-power parity
  • Scenario assumptions documented for growth, inflation, policy rates and currencies

Participants can assess industry attractiveness and company positioning using structured strategic analysis.

  • PESTLE analysis identifies political, economic, social, technological and legal drivers
  • Porter's Five Forces tests industry profitability and bargaining power
  • Value-chain mapping locates margin pools, suppliers and customer dependencies
  • Market sizing applies top-down and bottom-up estimation methods
  • Competitive moats examined through switching costs, networks and scale
  • Material ESG factors connected to cash flows, cost of capital
  • Industry catalysts and disruption risks translated into forecast assumptions

Participants can interpret financial statements and identify accounting choices affecting investment conclusions.

  • Income statement drivers separated into volume, price, mix and costs
  • Balance-sheet operating assets distinguished from financing assets and liabilities
  • Cash-flow statements reconciled through operating, investing and financing activities
  • IFRS revenue recognition assessed for timing, contract assets and judgement
  • Capitalisation policies tested for effects on earnings and invested capital
  • Non-recurring items identified through notes, management discussion and cash flows
  • Related-party transactions reviewed for governance and economic substance

Participants can calculate, interpret and benchmark ratios to diagnose financial performance and risk.

  • DuPont analysis decomposes return on equity into operating drivers
  • Margins compared using gross, EBITDA, EBIT and net-income measures
  • Working-capital ratios analyse receivables, inventory, payables and cash conversion
  • Liquidity assessed using current, quick and operating-cash-flow ratios
  • Solvency measured through debt ratios, interest coverage and fixed-charge coverage
  • Peer benchmarking separates structural advantages from temporary performance movements
  • Five-year ratio trends linked to strategic and accounting explanations

Participants can prepare operating forecasts based on explicit commercial and financial assumptions.

  • Revenue forecasts built from price, volume, capacity and market-share assumptions
  • Cost structures separated into fixed, variable and semi-variable components
  • Margin forecasts tested against utilisation, procurement and operating leverage
  • Working-capital schedules linked to revenue, cost and operating-cycle assumptions
  • Capital-expenditure plans translated into depreciation and asset-base forecasts
  • Management guidance challenged using historical delivery and external indicators
  • Base, upside and downside cases documented with probability-weighted assumptions

Participants can build an integrated three-statement model with auditable links and checks.

  • Model architecture separates inputs, calculations, outputs and control checks
  • Income statement forecast linked to operating-driver schedules and assumptions
  • Balance sheet projected through working capital, fixed assets and financing
  • Cash flow statement derived from integrated income-statement and balance-sheet movements
  • Debt schedules calculate interest expense, amortisation and covenant headroom
  • Circularity managed using interest assumptions, iteration settings and alternative methods
  • Error checks reconcile balance sheets, cash movements and sign conventions

Participants can calculate free cash flow and estimate discount rates for valuation.

  • Free cash flow to firm derived from NOPAT and investment needs
  • Free cash flow to equity reconciled after debt flows
  • Weighted average cost of capital calculated from market-value capital structure
  • CAPM estimates cost of equity using beta, risk-free rate and premium
  • Country risk premiums assessed for international operations and sovereign exposure
  • Terminal value calculated using perpetuity-growth and exit-multiple approaches
  • Discount-rate assumptions tested against business risk and financing capacity

Participants can value a company using a disciplined discounted cash flow model.

  • Enterprise value estimated from forecast free cash flows and terminal value
  • Equity value derived after debt, cash, minorities and other claims
  • Mid-year convention applied where cash flows accrue throughout periods
  • Terminal growth rates tested against inflation, GDP growth and reinvestment
  • Sensitivity tables show value effects from WACC and terminal-growth changes
  • Reverse DCF identifies assumptions embedded in current market prices
  • Valuation ranges expressed with scenario weights and key judgement disclosures

Participants can apply market multiples and transaction evidence to triangulate valuation conclusions.

  • Comparable companies selected using business model, geography, size and growth
  • Enterprise-value multiples calculated for sales, EBITDA and EBIT comparisons
  • Equity multiples applied using P/E, price-to-book and dividend yield
  • Multiples normalised for accounting policies, capital intensity and cyclicality
  • Precedent transactions analysed for control premiums and expected synergies
  • Sum-of-the-parts valuation separates businesses with different risk profiles
  • Triangulated valuation conclusions reconcile DCF, multiples and market evidence

Participants can produce an equity investment thesis with identifiable catalysts and risks.

  • Investment thesis framed as a testable view on value drivers
  • Catalysts identified from earnings, strategy, regulation and capital allocation
  • Variant perception compares analyst assumptions with market consensus expectations
  • Consensus estimates examined for dispersion, revisions and earnings-quality concerns
  • Management quality assessed through incentives, capital allocation and disclosure
  • Position-sizing considerations connected to conviction, liquidity and downside risk
  • Research conclusions distinguish buy, hold, sell and watchlist decisions

Participants can price plain-vanilla bonds and interpret quoted yield measures.

  • Bond cash flows mapped for coupon, principal, maturity and redemption
  • Clean and dirty prices reconciled using accrued-interest calculations
  • Yield to maturity calculated from price, coupons and redemption value
  • Spot rates and forward rates extracted from government yield curves
  • Corporate spreads decomposed into credit, liquidity and optionality components
  • Bond-equivalent yield conventions compared across money-market and capital-market instruments
  • Callable and puttable bond features assessed for issuer and investor effects

Participants can assess a fixed-income issuer's creditworthiness and interest-rate exposure.

  • Macaulay duration measures weighted timing of bond cash flows
  • Modified duration estimates price sensitivity to parallel yield changes
  • Convexity improves price estimates for larger interest-rate movements
  • Key-rate duration identifies sensitivity at specific yield-curve maturities
  • Credit analysis evaluates business risk, financial risk and recovery prospects
  • Interest coverage and debt-service ratios tested under downside cash flows
  • Rating-agency methodologies reviewed for issuer, issue and recovery assessments

Participants can explain derivative payoffs and assess their use in risk management and positioning.

  • Forward contracts priced using spot rates, carry and settlement conventions
  • Futures margining examined through daily marking-to-market and basis risk
  • Option payoffs mapped for calls, puts, spreads and protective strategies
  • Black-Scholes inputs interpreted for volatility, time and interest-rate effects
  • Interest-rate swaps analysed through fixed-leg and floating-leg cash flows
  • Currency forwards matched to forecast foreign-currency receipts and payments
  • Hedge effectiveness assessed against exposure amount, timing and basis mismatch

Participants can construct a portfolio aligned with investment objectives, constraints and risk limits.

  • Investment policy statements specify objectives, horizon, liquidity and constraints
  • Strategic asset allocation sets long-term weights across major asset classes
  • Correlation matrices identify diversification potential and concentration exposures
  • Mean-variance optimisation evaluates expected return, volatility and covariance inputs
  • Efficient frontiers compared against client objectives and implementation constraints
  • Risk budgets allocate active risk across asset classes and managers
  • Rebalancing rules defined using calendar, threshold and cash-flow approaches

Participants can measure investment risk, attribute returns and evaluate manager performance.

  • Volatility calculated from periodic returns using standard-deviation methodology
  • Value at Risk estimated using historical, parametric and simulation approaches
  • Stress testing applies market shocks to prices, spreads and currencies
  • Sharpe ratio compares excess return against total portfolio volatility
  • Information ratio evaluates active return against tracking-error volatility
  • Brinson attribution separates allocation, selection and interaction effects
  • Time-weighted and money-weighted returns distinguished for performance reporting

Participants can recognise behavioural and governance risks that can compromise investment judgement.

  • Confirmation bias challenged through disconfirming evidence and bear-case research
  • Anchoring risks reduced by independent valuation ranges and scenario analysis
  • Herding behaviour identified in consensus forecasts and crowded positions
  • Conflicts of interest managed through disclosure, controls and restricted lists
  • Material non-public information distinguished from legitimate investment research
  • Research records maintained for assumptions, sources, revisions and approvals
  • Investment recommendations reviewed against mandate, suitability and governance requirements

Participants can build, review and present a complete investment case with a defensible recommendation.

  • Company or issuer selected against a defined investment mandate
  • Financial statements recast and forecast using documented operating assumptions
  • DCF, trading multiples and credit evidence triangulate valuation conclusions
  • Macro, industry and competitive analysis supports the investment thesis
  • Downside scenarios quantify earnings, valuation, liquidity and covenant risks
  • Portfolio fit assessed through expected return, correlation and risk limits
  • Investment committee presentation communicates recommendation, evidence, risks and monitoring triggers

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Integrated three-statement financial model template
  2. Discounted cash flow valuation workbook
  3. Comparable-company and precedent-transaction analysis template
  4. Fixed-income credit assessment checklist
  5. Investment thesis and committee-paper template
  6. Portfolio allocation and risk-monitoring plan

Who should attend

  • Investment Analysts — strengthen valuation, research and recommendation-writing capability
  • Treasury Analysts — assess surplus-cash investments, fixed-income instruments and counterparty risk
  • Corporate Finance Professionals — evaluate acquisitions, capital projects and strategic investments
  • Credit Analysts — connect borrower fundamentals, cash flow and market-based credit indicators
  • Portfolio and Fund Analysts — support asset allocation, security selection and performance review
  • Finance Managers — challenge investment cases and investment-committee submissions

Skills and tools covered

Financial statement analysisEquity valuationCredit risk assessmentPortfolio constructionInvestment research writingScenario modelling

Tools and standards

IFRS, CAPM, Porter's Five Forces, Brinson attribution

How the course runs

Training methodology

The programme uses short instructor briefings to establish methods, followed by financial-data cases, spreadsheet modelling, group analysis and investment-committee simulations. Participants interpret annual reports, market data, yield curves and research extracts; test assumptions; and defend conclusions against competing views. Case material includes listed companies, corporate issuers, banks, infrastructure assets and public-sector investment decisions. Structured application planning connects each method to participants' own mandates, approval processes and reporting requirements.

Requirements and prerequisites

Participants should be comfortable reading an income statement, balance sheet and cash flow statement, and should understand basic accounting terms such as revenue, depreciation, working capital, debt and equity. Familiarity with spreadsheets, percentages, discounting and basic financial ratios is expected. Experience in finance, treasury, accounting, banking, audit, credit or commercial analysis is helpful. Prior investment-management employment, professional-accounting qualification, programming knowledge and advanced mathematics are not required. The course explains the financial logic before applying models and calculations.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should be able to read basic financial statements and use spreadsheets confidently. The course assumes familiarity with finance terminology but does not require prior investment-management experience or advanced mathematics.

Bring a laptop with spreadsheet software for model-building sessions. Participants may also bring a public annual report, treasury policy or investment case from their organisation, subject to confidentiality requirements.

It is designed for analysts and finance professionals who assess securities, surplus-cash investments, corporate investments, credit exposures or portfolio proposals. It also suits professionals moving from accounting, audit, treasury or commercial finance into investment analysis.

Corporate finance courses focus mainly on financing, capital structure and transaction decisions, while modelling courses focus on spreadsheet construction. This programme uses modelling as one part of a wider investment process covering markets, valuation, credit, portfolio construction, risk and recommendation writing.

Participants can use the models and templates for equity research, treasury investment reviews, corporate investment cases, credit papers and portfolio reports. The methods also improve how they challenge forecasts, valuation assumptions and risk claims submitted by others.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week establishes analysis, forecasting and valuation methods; the second week develops fixed income, derivatives, portfolios, risk and the final investment-case capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.