Leading With Data· a Bicycle Guide
Guide highlights

Become a confident and highly-skilled financial modeler, capable of building sophisticated analyses from scratch. Enhance your career prospects and become more effective in any analytical finance role.

  • Master fundamental financial calculations and Excel functions.
  • Learn to build corporate finance models for valuation and analysis.
  • Construct and optimize investment portfolios.

Book profile

Financial Modeling, 3rd Edition

One book, placed in its field — what Simon Benninga's book gets right, where it goes further than the rest, and what the rest of the field adds.

Edited by Mike West

Choose a reading path or an exercise

Suggested sections

Choose a starting point below. Each link opens a section of this guide.

Do this now — Modeling Assumptions

  1. Compute 5–10 years of historical ratios (growth, margins, working-capital days, capex/sales) before choosing any forecast value.
  2. Write the rationale for each driver next to its cell, citing the history, the strategy, or the market source behind it.
  3. Fade growth and margin assumptions toward industry norms over the forecast, rather than holding the latest year constant.
  4. Keep all assumptions on one input sheet with no hardcodes elsewhere.

Then continue in Modeling Assumptions.

Edition 1·Updated 2026-10-03·15 min read

Sources

About this book

An overview of the book, with source information for further reading.

A comprehensive, practical guide that teaches finance students and professionals how to build and implement a wide range of financial models using Microsoft Excel.

More on this book

Financial Modeling is the definitive "cookbook" for anyone looking to bridge the gap between financial theory and real-world application. Rather than focusing on abstract concepts, this book provides step-by-step instructions for building powerful financial models in Excel, the industry-standard tool. Covering the core areas of finance—corporate finance valuation, portfolio optimization, option pricing, and bond analysis—it empowers readers to create everything from pro forma financial statements and cost of capital calculations to sophisticated option pricing simulations and portfolio immunization strategies. Complete with technical guides to advanced Excel functions and VBA programming, this book is an indispensable resource for students and practitioners who want to develop the hands-on skills necessary to perform rigorous financial analysis and make sound, data-driven decisions.

Movement I

Orient

In this part

What this book claims, and who wrote it.

  • — The book's one-line promise
  • — The author and where the book stands

A comprehensive, practical guide that teaches finance students and professionals how to build and implement a wide range of financial models using Microsoft Excel.

The need-to-know

Excel is an essential and powerful tool for implementing complex financial models across corporate finance, portfolio management, options, and bonds. Building pro forma financial statement models is a core skill for valuation, requiring a blend of accounting principles, financial theory, and spreadsheet expertise. Portfolio optimization involves calculating means, variances, and covariances from return data, which can be managed effectively in Excel using matrix operations and tools like Solver.

About this guide

The guide describes these challenges, steps and possible outcomes.

Who it is for

A finance student or professional who understands financial theory but struggles to apply it. They want to become competent at building practical, real-world financial models to solve problems in valuation, investment, and risk management.

Challenges

  • In practice · Lacking the practical skills to translate financial theory into working models using standard industry tools like Excel, making it difficult to perform tasks like company valuation, portfolio optimization, or derivative pricing.
  • For the reader · Feeling insecure, under-equipped, and overwhelmed by the gap between textbook knowledge and the quantitative demands of the finance industry, leading to a fear of being ineffective or uncompetitive.

Steps to consider

  1. 1Master fundamental financial calculations and Excel functions.
  2. 2Learn to build corporate finance models for valuation and analysis.
  3. 3Construct and optimize investment portfolios.
  4. 4Implement and apply option-pricing models.
  5. 5Analyze bonds and interest rate models.
  6. 6Automate and extend your modeling capabilities with VBA programming.

Risks

Continue to struggle with applying financial theory, leaving you stuck with abstract knowledge. Fall behind peers who have mastered the essential, practical modeling skills required in the industry.

Intended result

Become a confident and highly-skilled financial modeler, capable of building sophisticated analyses from scratch. Enhance your career prospects and become more effective in any analytical finance role.

Set the record straight

What this book sets straight

The common beliefs this book pushes back on.

The myth

Financial theory is abstract and difficult to apply in practice.

The reality

Financial models can be practically and systematically implemented using accessible tools like Excel, directly connecting theory to real-world application.

The myth

You need expensive, specialized software for sophisticated financial modeling.

The reality

Excel, when combined with its built-in functions, data tools, and VBA programming, is a powerful and sufficient platform for a vast range of financial modeling tasks, from valuation to derivative pricing.

The myth

Understanding a financial model's theoretical formula is sufficient for analysis.

The reality

True understanding and robust analysis come from the hands-on process of building a model, calculating its components, testing assumptions, and interpreting the results.

Movement II

Map

The book's main ideas and how they connect.

In this part

Financial Modeling, 3rd Edition's own model — and how it sits inside its field.

  • — 7 constructs the book works with
  • — Where it agrees with the field, exceeds it, or fills a gap
What You Design2· the levers you pull
Modeling AssumptionsCost of Capital Components
What It Produces2· the states it creates
Free Cash Flow (FCF)Weighted Average Cost of Capital (WACC)
What You Do1· the behaviours that follow
Projected Financial Statements

The constructs

Modeling Assumptions

The set of explicit hypotheses and parameters an analyst sets to forecast a company's future financial performance and the inputs for its cost of capital. These are derived from historical analysis, strategic forecasts, and market data.

Cost of Capital Components

The fundamental inputs required to estimate the cost of a firm's financing from various sources, including equity and debt. These components include risk-free rate, market risk premium, beta, tax rate, and capital structure weights.

Projected Financial Statements

A set of interconnected forecasts of a company's income statement and balance sheet for a future period (typically 5-10 years), generated based on the modeling assumptions.

Free Cash Flow (FCF)

The total cash flow generated by a company's operations that is available to all providers of capital (debt and equity holders). It is calculated from the projected financial statements.

Weighted Average Cost of Capital (WACC)

A firm's average after-tax cost of capital from all sources, weighted by their respective proportions in the capital structure. It represents the required rate of return on the firm's assets and is used as the discount rate for FCF.

Enterprise Valuethe outcome

The total market value of the operating assets of a business, independent of its capital structure. It is the result of the discounted cash flow (DCF) analysis.

Equity Value

The portion of the enterprise value that belongs to the equity shareholders, representing the value of the company to its owners.

How they connect (6)
  • Modeling Assumptions → influences → Projected Financial Statements
  • Projected Financial Statements → influences → Free Cash Flow (FCF)
  • Cost of Capital Components → influences → Weighted Average Cost of Capital (WACC)
  • Free Cash Flow (FCF) → predicts → Enterprise Value
  • Weighted Average Cost of Capital (WACC) → influences → Enterprise Value
  • Enterprise Value → predicts → Equity Value

Where this book diverges from the corpus

  • exceeds The book breaks the discount rate into its inputs (risk-free rate, market risk premium, beta, tax rate), which the field's construct treats only as a blended whole.
  • lags The book gives only the enterprise-to-equity step, while the field also covers how equity value grows and is steered (TRS, market cap).

Movement III

Master

Explore the book's ideas, examples and practical tools.

In this part

How the author makes the case — section by section, with the book's own tools.

  • — 7 sections, in the book's order
  • — The book's frameworks, checklists, and worked cases
Enterprise Value
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section covers how discounted free cash flows and a terminal value combine into the value of operations. You also see how to test whether the answer is reasonable.

Enterprise Value

The total market value of the operating assets of a business, independent of its capital structure. It is the result of the discounted cash flow (DCF) analysis.

Why it matters. Enterprise value is the number that decisions get made on, and a terminal value that supplies most of it can hide an unrealistic assumption.

Myth

The DCF produces the company's value, so a precise output means a precise valuation.

Reality

The output is only as accurate as the forecast and discount rate behind it, and a terminal value usually represents well over half of it. The useful discipline is to test what the terminal value implies and compare it against market multiples.

Tools for this
The least you need to know
  • A DCF output is a range driven by WACC and terminal assumptions, not a precise figure.
  • Check the terminal value's share of total value and the multiple it implies.
  • Keep operating value separate from non-operating assets so nothing is counted twice.
Master this◆ Paid

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Enterprise Value to Equity Value DCF Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 11 tools for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Equity Value
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section shows how to move from the value of operations to the value owned by shareholders. You get the bridge items and the per-share step.

Equity Value

The portion of the enterprise value that belongs to the equity shareholders, representing the value of the company to its owners.

Why it matters. Errors in the bridge from enterprise value, like missed debt-like claims or wrong share counts, change what shareholders are told their stake is worth.

Myth

Equity value is just enterprise value minus the debt on the balance sheet.

Reality

The bridge includes every claim ahead of common shareholders: preferred stock, minority interests, pension deficits, and leases, with excess cash and investments added back. Per-share value then depends on diluted shares from options and convertibles, which themselves depend on the price.

Tools for this
  • Equity ValueFramework — How this mechanism is run, step by step, as the literature describes it.
  • Equity ValueCase study — Take Kraft's balance sheet at 31 Dec 2005.
The least you need to know
  • Equity value equals enterprise value less all senior claims plus non-operating assets, not just debt.
  • Use diluted shares computed at the implied price.
  • Explain any gap to market capitalization rather than treating it as an error.
Master this◆ Paid

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Enterprise-to-Equity Value Bridge Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Modeling Assumptions
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section shows how to set the explicit drivers that every downstream number in your model inherits. You get a way to anchor each one in history, strategy, and market evidence.

Modeling Assumptions

The set of explicit hypotheses and parameters an analyst sets to forecast a company's future financial performance and the inputs for its cost of capital. These are derived from historical analysis, strategic forecasts, and market data.

Why it matters. Every projected statement, cash flow, and valuation output is arithmetic on your assumptions, so one unexamined growth or margin input silently becomes a seven-figure error in the final price.

Myth

Assumptions are just inputs you type in once the real work of building the model begins.

Reality

The assumptions are the model; the spreadsheet only propagates them. A defensible set links each driver to a historical ratio or market datum and exposes it in one place so that it can be challenged and flexed.

Tools for this
The least you need to know
  • Anchor every driver in a historical ratio or market datum, and record the source beside it.
  • Centralize assumptions on one sheet so scenarios and sensitivities change one place only.
  • Test assumptions for joint consistency, since growth, investment, and margin must tell one coherent story.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Modeling Assumptions Register” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 1 tool for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Cost of Capital Components
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section lists the raw inputs behind a discount rate and explains how to source each one. It prepares you to assemble a WACC you can defend line by line.

Cost of Capital Components

The fundamental inputs required to estimate the cost of a firm's financing from various sources, including equity and debt. These components include risk-free rate, market risk premium, beta, tax rate, and capital structure weights.

Why it matters. Small errors in the risk-free rate, equity premium, or beta compound through WACC and, via the terminal value, move enterprise value by far more than most operating assumptions do.

Myth

Beta, risk premium, and the risk-free rate are objective market facts that you simply look up.

Reality

Each component is an estimate with choices embedded in it: the maturity of the government bond, the historical or implied premium, the regression window, and the lever of the comparison firms. Different defensible choices produce materially different rates, so you must document them.

Tools for this
The least you need to know
  • Every component embeds a methodological choice, so state the choice alongside the number.
  • Beta should come from relevered peer data rather than a single noisy regression.
  • Use target market-value weights and the marginal tax rate.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Cost of Capital Input Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Projected Financial Statements
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section covers how to turn assumptions into linked income statement and balance sheet forecasts. You learn to build them so the statements reconcile and feed cash flow cleanly.

Projected Financial Statements

A set of interconnected forecasts of a company's income statement and balance sheet for a future period (typically 5-10 years), generated based on the modeling assumptions.

Why it matters. If the statements do not balance and interlock, the free cash flow derived from them is unreliable, and the valuation inherits hidden errors that no discount rate can fix.

Myth

A projected income statement with a growth rate and margin is enough, and the balance sheet can be a cosmetic afterthought.

Reality

The balance sheet disciplines the forecast: it forces revenue growth to be funded with receivables, inventory, and fixed assets, and exposes the cash or debt needed to fund it. A forecast that ignores this will overstate cash generation.

The least you need to know
  • A forecast is only credible when the balance sheet balances without a plug.
  • Drive each balance sheet line from operating drivers so growth carries its funding cost.
  • Extend the horizon until the final year resembles a steady state.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Pro Forma Model Integrity and Valuation Checklist” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Free Cash Flow (FCF)
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section shows how to convert projected statements into the cash flow available to all capital providers. You get the calculation and the checks that keep it clean.

Free Cash Flow (FCF)

The total cash flow generated by a company's operations that is available to all providers of capital (debt and equity holders). It is calculated from the projected financial statements.

Why it matters. Free cash flow is the quantity being discounted, so misclassifying a single item, like interest or working capital, shifts the valuation in direct proportion.

Myth

Free cash flow is basically net income plus depreciation.

Reality

FCF is an unlevered operating measure: it starts from after-tax operating profit and subtracts the investments in working capital and fixed assets needed to sustain growth. Net income is net of interest and ignores reinvestment, so it mixes financing with operations and overstates what is distributable.

Tools for this
The least you need to know
  • FCF is after-tax operating profit minus required reinvestment, not net income plus depreciation.
  • Keep financing flows out of FCF and reconcile it to payouts to capital providers.
  • Normalize the terminal-year FCF, as it often carries most of the value.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “FCF Build Sheet (per forecast year)” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 8 tools for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Weighted Average Cost of Capital (WACC)
strong · 1 source
  • Financial Modeling, 3rd Edition
In this section

This section explains how to combine the cost components into a single discount rate. You learn how to match it to the cash flows it discounts.

Weighted Average Cost of Capital (WACC)

A firm's average after-tax cost of capital from all sources, weighted by their respective proportions in the capital structure. It represents the required rate of return on the firm's assets and is used as the discount rate for FCF.

Why it matters. Because WACC enters every discount factor and the terminal value, a one-point error can swing enterprise value by 10–20% or more.

Myth

A lower WACC from using more cheap debt always makes the company worth more.

Reality

Debt is cheaper than equity only until the added leverage raises the cost of both equity and debt through financial risk. Past the optimum, the extra distress cost offsets the tax shield, so WACC is lowest at a balance, not at maximum debt.

Tools for this
The least you need to know
  • WACC is a weighted average of after-tax debt cost and equity cost at target market weights.
  • Adding debt lowers WACC only until financial risk raises the cost of both sources.
  • Always present value as a range across WACC and terminal growth, not a point estimate.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “WACC Build Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included when you buy this guide.

Grounded in: Financial Modeling, 3rd Edition

Movement III · The run-it-now depth

The Playbook

Practical tools and examples from this guide.

Frameworks

Frameworkfree

Cost of Capital Components

How this mechanism is run, step by step, as the literature describes it.

  1. 1Fix the valuation date and pull the price on that date. The source works Kellogg at 30 May 2006 (P0 = $48.28) and Johnson & Johnson at 31 Dec 2005 (P0 = $61.07). Every input after this must be as of the same date.
  2. 2Build the cost of equity in two independent ways so they can be compared: a Gordon-type estimate (rE = Div0×(1+g)/P0 + g) and a CAPM/security-market-line estimate (risk-free rate + beta × market risk premium). Keep the two columns side by side and do not blend them early.
  3. 3For the Gordon leg, annualize the latest dividend (Kellogg: quarterly $0.278 × 4 = $1.112). Compute g over at least two windows (Kellogg: 1.90% over 5 years, 3.61% over 10 years) and run rE for each window (4.25% and 6.00%). The spread between windows is the uncertainty you must carry forward.
  4. 4Extend the Gordon leg to all cash flows to equity: dividends plus share repurchases, minus stock issuance (including employee option exercises). Repurchases are around 50% of cash paid out by US corporations, so a dividend-only model misses much of the payout. Value total equity, not a per-share dividend. Expect to use annual data for repurchases and issuance, because they appear only in annual statements.
  5. 5Estimate beta by regressing the stock's periodic returns on the market index's returns (r_it = a + b·r_SP,t) over a stated window, such as the 60 months used for the Dow-Jones 30 components, April 2002–April 2007. Use SLOPE and INTERCEPT, and record r-squared and the t-statistic of beta alongside the beta itself.
  6. 6Fix the market premium by deciding how to compute E(rM). The source offers three approaches, one of which treats an index as a dividend-growth asset: dividend yield plus expected dividend growth. State which approach you chose and the risk-free rate paired with it.
  7. 7Estimate the cost of debt (rD) separately, then apply the tax rate to get the after-tax cost. Set the capital structure weights from the market values of equity and debt, not book values, and combine into WACC. The source works this through three cases: Kraft, Tyson and Cascade.
  8. 8Compare the Gordon and CAPM cost-of-equity results. If they disagree materially, investigate the input (growth window, beta window, premium) before choosing. The source devotes a section to when the models do not work.
Framework◆ Paid

Enterprise Value

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with this guide purchase

Framework◆ Paid

Equity Value

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with this guide purchase

Framework◆ Paid

Free Cash Flow (FCF)

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Modeling Assumptions

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Projected Financial Statements

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Weighted Average Cost of Capital (WACC)

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Checklists

Checklistfree

Cost of Capital Components — decision rules

  • If the firm repurchases or issues meaningful stock (J&J, Wachovia), then compute the Gordon cost of equity on total equity cash flows as well as per-share dividends, and compare the two.
  • If the 5-year and 10-year growth rates give materially different rE (Kellogg: 4.25% vs 6.00%), then report both, test which window reflects expected future growth, and consider a pro forma model to forecast payout instead of extrapolating history.
  • If a stock's regression r-squared is low (Boeing: beta 0.73, r-squared 0.14, t-beta 3.13), then treat its individual beta as noisy. Remember that beta is a far better risk measure for a diversified portfolio than for a single stock, and cross-check the CAPM result against the Gordon result.
  • If a beta looks extreme (Alcoa 1.94, r-squared 0.56), then confirm that the t-statistic supports it (8.67) before it drives the CAPM cost of equity.
  • If the Gordon and CAPM estimates disagree and neither input set is clearly wrong, then do not average them silently. Document the disagreement and test the WACC and valuation for sensitivity to both.
Checklist◆ Paid

Enterprise Value — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Equity Value — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Free Cash Flow (FCF) — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Modeling Assumptions — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Projected Financial Statements — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Weighted Average Cost of Capital (WACC) — decision rules

◆ All 5 checkpoints — included with this guide purchase

Case studies — including what didn't work

Case studyfree

Cost of Capital Components

Context

Kellogg, 30 May 2006. The price is $48.28 and the quarterly dividend is $0.278, so annualized Div0 = 0.278 × 4 = $1.112. Dividend growth is 1.90% over the last 5 years and 3.61% over the last 10. Using rE = Div0×(1+g)/P0 + g, the 5-year growth gives 1.112 × 1.019 / 48.28 + 0.019 = 4.25%. The 10-year growth gives 1.112 × 1.0361 / 48.28 + 0.0361 = 6.00%. Same firm, same price, same date, yet the cost of equity moves by 175 basis points purely from the growth window, so you report a range and not a point. Johnson & Johnson (P0 = $61.07, annualized dividend $1.32) shows the second lesson. Using total cash flow to equity (dividends plus repurchases less issuance) with growth of 16.59%, rE is 19.54%, versus 18.75% on the 5-year-growth variant. The source notes that dividends are smooth, while repurchases and issuance carry the real variability. Here the totals barely change the answer, but the source warns that the opposite is often the case.

Case study◆ Paid

Enterprise Value

Context

The source values a firm with a 20% WACC and 5% long-term FCF growth (2% real + 3% inflation). Projected FCFs for years 1–5 are 176, 188, 201, 214 and 228. Terminal value at year 5 is 228 × 1.05 / (0.20 − 0.05) = 1,598. The year-5 cash flow becomes 228 + 1,598 = 1,826. Applying =NPV(20%, 176, 188, 201, 214, 1826) gives an enterprise value of 1,231. Adding year-0 cash and marketable securities of 80 gives asset value of 1,311. Subtracting debt of 320 leaves equity value of 991. Enterprise value (1,231) is the operating-asset value before any capital-structure adjustment. Cash is added and debt subtracted only afterward to reach equity.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Equity Value

Context

Take Kraft's balance sheet at 31 Dec 2005. Short-term borrowings are 805m, current portion of long-term debt 1,268m, due to Altria and affiliates 652m, and long-term debt 8,475m. These sum to total debt of 11,200m. Cash is 316m, so net debt is 10,884m. The equity bridge is: Equity value = enterprise value (FCF discounted at Kraft's WACC) − 10,884m. If you do not net cash, the deduction is 11,200m, and the 316m difference moves equity value one-for-one. Cascade shows the opposite case at 31 Jan 2006. Total debt is 29.922m and cash is 35.493m, so debt net of cash is −5.571m. Netting marketable securities of 23.004m as well gives −28.575m. Equity value is then enterprise value plus 5.571m or 28.575m, depending on the policy chosen. The source does not give Kraft's or Cascade's enterprise values, so the example stops at the bridge.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Free Cash Flow (FCF)

Context

The source's pro forma has a 40% tax rate, 10% interest on debt, 8% on cash, and sales growth of 15%. For year 2, profit after tax is 257. Add back depreciation of 233. Subtract the 26 increase in current assets and add the 14 increase in current liabilities. Subtract the 233 increase in fixed assets at cost, which cancels the depreciation add-back. Add back 42 of after-tax interest on debt and subtract 2 of after-tax interest on cash. The total is 257 + 233 − 26 + 14 − 233 + 42 − 2 = 285, which matches the model's year-2 FCF. The model's five-year FCF is 273, 285, 334, 391, 457, and in this version the firm cannot meet its debt repayments in years 1–4. The cash balance goes negative, which is equivalent to borrowing. FCF is unaffected by that financing problem because it is computed as if the firm had no debt.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Modeling Assumptions

Context

Benninga's accelerated-depreciation pro forma shows how a modeling choice becomes a set of explicit assumptions. He assumes all assets are depreciated on a five-year schedule and that the assets in place at date 0 are three years old. From those two inputs, cumulative depreciation on existing assets is 71 percent of initial value, so cell C82 × 2,674 = 1,904. The cumulative depreciation for years 1–5 is then summed across each vintage of assets using VLookup. Row 61 references the result, and row 60 gives fixed assets at cost. Each vintage needs its own schedule, which is why the author calls it 'a fairly big mess.' His rule is to do this only when the fixed-asset base is large and grows significantly, so the cash-flow gap versus straight-line is large. In the PPG chapter he instead models straight-line depreciation plus deferred taxes. The lesson: every extra assumption (schedule length, asset age, vintage) must earn its place by changing cash flow materially.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Projected Financial Statements

Context

Source model, 20% WACC, 5% long-term FCF growth. Projected FCFs for years 1–5 are 176, 188, 201, 214 and 228. Terminal value = year-5 FCF × 1.05 / (0.20 − 0.05), which the model shows as 1,598. Hand arithmetic on the rounded 228 gives about 1,596; the gap is rounding. Year 5 therefore carries 228 + 1,598 = 1,826. The NPV of the stream, scaled by (1.20)^0.5 for mid-year discounting, is an enterprise value of 1,348. Adding year-0 cash of 80 gives an asset value of 1,428, and subtracting debt of 320 gives an equity value of 1,108. Cross-check: the negative-debt method with end-of-year discounting gives an enterprise value of 1,295, net debt of (320 − 80) = 240, and equity of 1,055. The 53 gap between 1,108 and 1,055 equals 1,348 − 1,295, so the whole difference is the mid-year convention and the cash treatment is equivalent. For the ROE test, the equity cash flows are (1,108), 98, 108, 118, 129, 1,878. The final 1,878 is year-5 dividends of 141 plus anticipated equity value of 1,737. IRR gives an ROE of 18.29%, which the model can compare with the cost of equity.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Weighted Average Cost of Capital (WACC)

Context

The source's real worked piece is Kraft's cost of debt. Kraft's debt has an assumed average maturity of 5 years, and the BBB yield curve (Yahoo data, 11 Aug 2006) is fitted as YTM = 0.0001·t³ − 0.0023·t² + 0.0152·t + 0.0221, with R² = 0.8479. At t = 5 the terms are 0.0125 − 0.0575 + 0.0760 + 0.0221 = 0.0531, so the imputed pre-tax rD is 5.31%. In the WACC formula that debt term becomes D/(E+D) × 5.31% × (1 − Tc). The source flags that Kraft's equity side is the hard part: the Gordon rE and the CAPM rE diverge sharply. The question is whether shareholders judge risk by the market variability of the stock (CAPM) or hold the stock for its history of payouts (Gordon). The passages supplied do not give Kraft's equity numbers, so you cannot finish the calculation from them. Compute both rE values, carry both through the weighted formula, and report the resulting range rather than a single point.

◆ What happened, and the outcome — included with this guide purchase

Templates

Templatefree

Cost of Capital Input Sheet

Template◆ Paid

Enterprise Value to Equity Value DCF Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Enterprise-to-Equity Value Bridge Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

FCF Build Sheet (per forecast year)

◆ The fillable template — included with this guide purchase

Template◆ Paid

Modeling Assumptions Register

◆ The fillable template — included with this guide purchase

Template◆ Paid

Pro Forma Model Integrity and Valuation Checklist

◆ The fillable template — included with this guide purchase

Template◆ Paid

WACC Build Sheet

◆ The fillable template — included with this guide purchase

Items marked Paid are included when you buy this guide.

Movement IV

Reflect

Consider the book's evidence, limitations and how it compares with other sources.

In this part

How good is it — where the book stands against the field, what it leaves open, and when to trust it.

  • — Its positioning, its critique, its blind spots
  • — When to apply it — and when not
  • — The evidence behind the advice

Book profile · in the corpus

This book’s model, against the corpus

7 of 7 constructs align with the field · 0 the book adds · 2 where it diverges · the field spans 28 constructs across 17 books

shared with the corpusthe corpus adds (other sources)where it diverges

Shared with the corpus — corroborated by other sources

Modeling AssumptionsCost of Capital ComponentsProjected Financial StatementsFree Cash Flow (FCF)Weighted Average Cost of Capital (WACC)Enterprise ValueEquity Value

Where it diverges — the book and the field pull apart

Cost of Capital ComponentsEquity Value

The corpus adds — from 16 other sources this book doesn't cover

The full field guide folds in ideas this book doesn’t reach — drawn from 16 further sources and cited in the full model.

This book’s place in the corpus

1 of 17
sources in this corpus
7
constructs contributed
7
corroborated by others

Why the corpus guide, not just this book

The book stands on standard DCF and CAPM valuation practice and is the authority on the mechanics of going from assumptions to projected statements, FCF, WACC inputs, and enterprise and equity value. The reconciled field-guide still adds what the book leaves out: uncertainty and sensitivity, model risk and controls, earnings quality, and links to strategy and performance management.

This guide stands on the shoulders of this book and 16 other sources — every claim cited, the disagreements named.

Read the reconciled Finance Analytics guide →

Read it closely

The book, examined

Not a summary — a close analytical reading: how the book is built, what it leaves open, and where it falls short.

How it’s built — the argument in order

  1. 01
    Part I: Basic financial calculations (Ch. 1) — Builds the Excel foundation: NPV, IRR, loan amortization, compounding, and discounting with dated cash flows (XIRR/XNPV). Uses discrete vs. continuous compounding, which later chapters on portfolios and options depend on.
  2. 02
    Part I: Corporate finance valuation (Ch. 2 onward) — Moves from calculation to firm valuation: cost of equity (CAPM, with E(rM) estimated from the market P/E), cost of debt (average existing debt, yields on similar new issues, default-based models), and then WACC. Builds pro forma statements, free cash flow, and enterprise and equity value, and shows the assumptions behind each.
  3. 03
    Part I: Special applications of valuation — Applies the machinery to specific cases. The lease-vs-buy analysis uses differential cash flows and IRR with residual values. The bank valuation recasts Cullen Frost's balance sheet into an 'enterprise-value balance sheet' by treating long-term borrowings as debt and the rest as working capital.
  4. 04
    Part II: Portfolio models (approx. Ch. 8–15) — Derives means, variances, covariances, efficient frontiers with and without short sales, and envelope and zero-beta portfolios. Uses Excel matrix functions and Solver. Develops the SML/CAPM, whose market portfolio is a weighted sum of all risky assets, then empirical tests of the SML (Roll's critique) and Black-Litterman. Includes event studies.
  5. 05
    Part III: Options (approx. Ch. 16–24) — Builds option pricing from scratch: binomial trees, Black-Scholes, the Greeks, and Monte Carlo simulation. Uses continuous compounding throughout, with VBA to automate the computation.
  6. 06
    Part IV: Bonds and the term structure (approx. Ch. 25–28) — Covers bond pricing, duration, immunization, and term-structure modeling. A later chapter (28) treats default-risk models for cost of debt.
  7. 07
    Part V: Technical Excel and VBA guides — Gives reference material on advanced functions, data tables, array formulas, and VBA programming, so the earlier models can be reproduced and extended.

What it leaves unsolved

Is the market portfolio mean-variance efficient, and therefore does the CAPM/SML hold empirically?

The text calls efficiency 'a big if' and defers the matter to Chapters 11 and 13, pointing to Roll's critique. The true market portfolio cannot be observed, so the SML tests remain open.

How should the true cost of debt (an expected return) be estimated when default risk is significant?

The text lists three methods and admits the first two are not theoretically perfect. Existing-debt averages reflect past costs. Bond yields are promised returns, which exceed expected returns when default is possible. The rigorous default model is postponed to Chapter 28 and is called laborious and nontrivial.

What is the right way to estimate the expected market return E(rM) for cost of equity?

The book shows a P/E-based approach for Intel, but this is one of several competing methods. The choice among them, and the sensitivity of WACC to it, is a judgment the model cannot settle.

How should a financial firm such as a bank be split between operating and financing items?

The Cullen Frost example treats only subordinated notes and junior debentures as debt and deposits as working capital. This is a convenient, debatable choice, and it leaves open how well standard enterprise-value logic fits banks.

Which assumptions (growth, margins, residual values) should drive pro forma and lease/buy models?

The book itself says modeling is as much art as science, and results such as the lease-vs-buy decision depend on residual-value and discount-rate assumptions that the model cannot validate.

Where it falls short — a fair critique

incomplete

The Cullen Frost bank valuation recasts deposits as working capital and gives an enterprise value of about $1.4bn. It does not discuss regulatory capital, interest-rate risk, or the loan-loss reserve, which dominate bank value. As a result, the 'enterprise value' is largely a bookkeeping reclassification, not a market valuation.

incomplete

Cost of debt is presented through methods the author admits are not theoretically perfect. Deferring the rigorous approach to Chapter 28 leaves the WACC chapters resting on shortcuts. No sensitivity analysis shows how much these shortcuts change valuation.

misinformed

Estimating E(rM) from the S&P 500 price/earnings multiple (sourced from a website) for Intel's cost of equity is a rough proxy. It ties the equity premium to a single earnings yield and ignores growth. Given the book's own caveats about the market portfolio, this risks false precision.

illogical

The text builds the SML on the market portfolio and the zero-beta CAPM while calling market efficiency a 'big if' and noting Roll's critique. It then uses CAPM betas in WACC calculations as though the model is reliable. The tension between acknowledging that CAPM is untestable and relying on it for practice is noted but never resolved.

uninformed

The Excel-centered 'cookbook' approach, with hard-coded cell references such as ='Page 184'!C35, makes models fragile and hard to audit. The text says little about modeling best practices (error checking, structure, version control) or the limits of Excel for large simulations.

incomplete

The lease-vs-buy example uses a fixed IRR rule on differential cash flows (decision: IF IRR < (1−t)×rate then lease). It treats the decision as mechanical and does not show how sensitive it is to residual-value assumptions, even though the section is titled 'Residual Values'. IRR on non-conventional flows can also give multiple or misleading answers.

Before you apply it

Using it well

Where the method fits, who it’s for, and the honest case for and against — so you apply it where it works.

Is this book for you?

For you if

  • You are a finance student or analyst who wants to turn valuation, portfolio, option and bond theory into working spreadsheets
  • You learn best from step-by-step, cookbook-style examples with real company data
  • You already use Excel and want to extend into Solver, data tables, matrix functions and VBA
  • You need a single reference spanning corporate finance, portfolio theory, options and bonds

Skip it if

  • You want conceptual finance theory without hands-on implementation
  • You need production-grade quantitative software in Python, R or C++ rather than spreadsheets
  • You are a complete beginner with no exposure to finance or accounting basics
  • You only need a quick, high-level valuation overview

Need first

  • Working Excel fluency: formulas, references, and basic functions
  • Introductory corporate finance: time value of money, NPV, risk and return
  • Basic accounting: reading income statements, balance sheets and cash flow statements
  • Basic statistics and some linear algebra (means, variances, covariances, matrices)
  • For the later chapters, willingness to learn VBA programming

When it applies — and when it doesn’t

Use it
  • Building a pro forma, FCF-based valuation of an industrial or corporate firm — This is the book's core use case: projected statements, FCF, WACC and enterprise value are laid out step by step with working spreadsheets.
  • Estimating WACC and cost of equity for a firm with public market data — The book shows several cost-of-equity methods (CAPM, P/E-implied market return) and practical cost-of-debt approximations built from real company data.
  • Pricing options with binomial trees, Black-Scholes and the Greeks, or running Monte Carlo simulations — The book builds these from scratch in Excel and VBA, which makes it good for learning and for prototyping.
  • Evaluating a lease-vs-buy or capital-budgeting decision with NPV and IRR — Differential cash flows, IRR and decision rules are worked in Excel. Residual-value assumptions should still be checked.
  • Annualizing returns and handling compounding periods and dated cash flows — The book clearly covers discrete versus continuous compounding and the XIRR/XNPV functions for irregularly dated flows.
Adapt it
  • Valuing a bank or financial institution using the enterprise-value balance sheet approach — The Cullen Frost example reclassifies deposits as working capital and only long-term borrowings as debt. This depends on judgment and departs from standard FCF logic for banks.
  • Estimating the cost of debt for a firm with significant default risk — The easy methods (average existing debt cost, comparable yields) use promised rather than expected returns, so they overstate the cost. The rigorous default-based model is deferred to a later chapter.
  • Treating the CAPM/SML and the market portfolio as an empirical truth — The book flags efficiency of the market portfolio as 'a big if' and points to Roll's critique, so beta-based results are only as good as that assumption.
  • Building efficient portfolios and Black-Litterman allocations from historical returns — Means, variances and covariances are straightforward to compute in Excel, but optimized weights are sensitive to those estimates. Assumptions need scrutiny.
Not here
  • Running a production-scale, multi-user or real-time trading and risk system — Excel/VBA spreadsheets are for learning, analysis and prototyping. They are not robust, auditable or fast enough for production infrastructure.
  • Treating model output as a precise answer without questioning inputs — The book itself says modeling is as much judgment about assumptions as calculation, so spurious precision is a misuse.

The honest case

Strongest case for

  • Building models yourself forces you to understand every assumption and mechanical link, which beats treating formulas as black boxes
  • Excel is the industry-standard, transparent medium, so skills and models transfer directly to practice and are easy to audit and share
  • Real company data (Intel, Cullen Frost) and worked formulas show how theory meets messy inputs, such as the cost-of-debt shortcuts
  • One consistent spreadsheet framework spans valuation, portfolios, options and bonds, so connections across topics become visible
  • Pairing Solver, matrices and VBA lets readers do sophisticated work like Monte Carlo and Black-Litterman without specialized software

Strongest objection

  • Spreadsheets are error-prone and hard to version, test and scale, so models built this way can hide mistakes behind apparent rigor
  • Many inputs rest on contestable foundations: CAPM relies on an unverifiable efficient market portfolio, and cost of debt uses promised rather than expected yields
  • Precisely computed outputs can create false confidence when forecasts and assumptions drive most of the result
  • Modern practice increasingly uses Python, R or dedicated platforms, so Excel/VBA skills may be less future-proof for advanced quantitative work
  • A cookbook approach can teach mechanics without the judgment about when a model is inappropriate, as with bank valuation or distressed debt
Source notes

The model's constructs are drawn from the source element(s); load-bearing constructs are corroborated across the shelf, emerging ones are flagged.

Ideas covered by the source notes

  • Modeling Assumptions
  • Cost of Capital Components
  • Projected Financial Statements
  • Free Cash Flow (FCF)
  • Weighted Average Cost of Capital (WACC)
  • Enterprise Value

Movement V

Measure

Use available assessments to reflect on what you have learned.

In this part

A way to gauge yourself against the book's model, and the instruments it gives you.

  • — A self-check built from the book
  • — Instruments and what you'd measure next

Learning curriculum

After this book, you can…

The book's learning objectives, classified by Bloom's taxonomy and ordered so each builds on the ones before it.

01Foundational — know & understand
  1. explain
    After this book you can explain how explicit modeling assumptions (growth, margins, tax, capital intensity) drive a forecast, and justify the choice of each assumption as a judgment rather than a mechanical calculation.
    Check: Short written exercise: for a given firm, list the key assumptions of a pro forma model, justify each with historical data or industry evidence, and describe the effect of changing one on the valuation.
02Working — apply
  1. calculate
    After this book you can perform fundamental time-value-of-money calculations in Excel (NPV, IRR, XNPV/XIRR, loan amortization, discrete and continuous compounding) and convert between compounding conventions to annualize returns.
    Check: Given a cash-flow stream and a deposit growth scenario, build a worksheet computing NPV, IRR, dated-flow XIRR, an amortization schedule, and the continuously compounded annual return; check results against known answers.
  2. construct
    After this book you can build interconnected projected income statements and balance sheets over a 5–10 year horizon from a set of assumptions, ensuring the balance sheet balances through a plug such as cash or debt.
    Check: Practical task: produce a linked multi-year pro forma model from a historical statement and an assumptions block; verify the balance check and trace formula links.
  3. derive
    After this book you can derive free cash flow from projected financial statements and distinguish operating cash flows available to all capital providers from flows to equity alone.
    Check: Given pro forma statements, compute FCF each year (EBIT after tax + depreciation – capex – change in net working capital) and reconcile it with changes in cash and financing flows.
  4. estimate
    After this book you can estimate the cost of equity (CAPM/SML with beta and market return estimates, including P/E-based market return), the cost of debt, and the capital-structure weights from real-world data.
    Check: Using market and company data for a firm such as Intel, compute beta by regression, the market risk premium, after-tax cost of debt, and each component, documenting data sources and assumptions.
  5. compute
    After this book you can compute the WACC from its components and select an appropriate discount rate for valuation, interpreting how capital structure and taxes affect it.
    Check: Build a WACC worksheet and run sensitivity of WACC to debt weight, tax rate, and beta; explain the results.
  6. construct
    After this book you can construct efficient portfolios in Excel by computing means, variances, and covariances, using matrix functions and Solver, and relate them to the CAPM/SML and market portfolio.
    Check: From a return data set, compute the covariance matrix, find the minimum-variance and tangency portfolios and the efficient frontier, and compute betas and the SML.
  7. implement
    After this book you can price options in Excel using binomial trees and the Black-Scholes formula, and compute the Greeks for risk measurement, including with VBA functions.
    Check: Build a multi-step binomial tree and a Black-Scholes worksheet, show convergence, and compute delta, gamma, vega, theta; write a VBA user-defined function for option value.
  8. program
    After this book you can apply advanced Excel tools and VBA (data tables, array formulas, Solver, macros, Monte Carlo simulation, event studies) to automate and extend financial models.
    Check: Write a VBA routine to run a Monte Carlo simulation of a model and an event-study worksheet; evaluate output correctness and documentation.
03Advanced — analyze & judge
  1. analyze
    After this book you can analyze bonds in Excel by calculating prices, yields, duration, and term structure, and design an immunization strategy.
    Check: Given bond cash flows, compute yield, duration, and convexity, fit a term structure, and construct a portfolio immunized against a liability.
  2. value
    After this book you can value a firm by discounting projected FCF at the WACC to obtain enterprise value, then subtract debt (and adjust for non-operating assets) to obtain equity value and value per share.
    Check: Complete a DCF valuation including terminal value for a given company and reconcile enterprise value to equity value; compare the result with market price.
  3. restructure
    After this book you can adapt valuation methods to special cases such as banks by restructuring the balance sheet into an enterprise-value form (separating working capital, other assets, and long-term debt).
    Check: Given a bank's balance sheet, reclassify items to produce net working capital, other assets, enterprise value, debt, and equity, and justify the treatment of each line.
04Mastery — synthesize & create
  1. evaluate
    After this book you can critically evaluate the limits of the CAPM and mean-variance optimization (e.g., market-portfolio efficiency, Roll's critique) and explain how the Black-Litterman model addresses them.
    Check: Essay or case: assess whether an empirical SML test supports CAPM and describe how Black-Litterman blends equilibrium returns with investor views.
  2. critique
    After this book you can judge the quality and reliability of a financial model, recognizing that assumptions and interpretation require professional judgment, and communicate its limitations.
    Check: Review a peer's valuation model, test sensitivity of key assumptions, and write a memo identifying weaknesses and justified recommendations.

How to measure it

Turning each idea into a measure

For each construct: how to operationalize it, the observable signals to look for, and how well it holds up.

Modeling Assumptions

A collection of specified numerical inputs for a financial model, including but not limited to: annual sales growth rate (%), cost of goods sold as a percentage of sales, SG&A as a percentage of sales, current assets as a percentage of sales, current liabilities as a percentage of sales, and dividend payout ratio.

Observable signals
  • Explicitly stated growth rates in an analyst report.
  • Ratios derived from historical financial statements used for forecasting.
  • Management guidance on future performance.
Scale

Typically percentages, ratios, or absolute dollar amounts.

Cost of Capital Components

The set of numerical inputs for the WACC formula, including: the risk-free rate (e.g., yield on a 10-year Treasury bond), the market risk premium, the company's equity beta, its pre-tax cost of debt, its corporate tax rate, and the market values of its equity and debt.

Observable signals
  • Published government bond yields.
  • Beta calculated from stock return regression against a market index.
  • Company's bond ratings and yields.
  • Stated corporate tax rates.
  • Market capitalization and book/market value of debt.
Scale

Rates and ratios are percentages; values are in currency.

Projected Financial Statements

An Excel model with linked cells representing future revenues, expenses, assets, liabilities, and equity, projected for a specified number of years. The model's logic is driven by the modeling assumptions, with a 'plug' variable (e.g., debt or cash) ensuring the balance sheet balances.

Observable signals
  • The completed multi-year spreadsheet model.
  • Forecasted line items such as Revenue, Net Income, Total Assets, and Total Debt.
Scale

Line items are in currency units (e.g., millions of dollars).

Free Cash Flow (FCF)

Calculated from the projected financial statements as: Profit after taxes + Depreciation + After-tax net interest payments - Increase in operating working capital (current assets - current liabilities) - Capital expenditures.

Observable signals
  • The calculated FCF value for each projected year in the financial model.
Scale

Currency units per time period (e.g., millions of dollars per year).

Weighted Average Cost of Capital (WACC)

Calculated using the formula: WACC = (E/(E+D))*rE + (D/(E+D))*rD*(1-Tc), where E is the market value of equity, D is the market value of debt, rE is the cost of equity (from CAPM or Gordon Growth Model), rD is the pre-tax cost of debt, and Tc is the corporate tax rate.

Observable signals
  • The final calculated WACC percentage.
Scale

A percentage rate.

Enterprise Value

Calculated as the sum of the discounted projected free cash flows and a discounted terminal value. The formula is: EV = Σ(FCFt / (1+WACC)^t) + (Terminal Value / (1+WACC)^T), where T is the final projection year.

Observable signals
  • The final calculated Enterprise Value in currency units.
Scale

Currency units (e.g., millions of dollars).

Equity Value

Calculated as Enterprise Value - Market Value of Debt + Cash and Cash Equivalents. This value can be divided by the number of shares outstanding to arrive at an intrinsic value per share.

Observable signals
  • The final calculated Equity Value in currency units.
  • The calculated intrinsic value per share.
Scale

Currency units (e.g., millions of dollars).

Self-assessment

Where would you like to improve?

This is a structured self-diagnostic built from the model — a mirror for reflection, not a validated psychometric scale. For validated measurement, see the instruments below.

1 = Strongly Disagree · 7 = Strongly Agree

Capabilitythe practices and skills you deploy
  • I write down every key forecast assumption, such as revenue growth, margins and capital spending, and can explain the reasoning behind each one.
  • I often pull inputs like the risk-free rate, equity risk premium, beta and cost of debt from whatever source is handy without checking that they are consistent.
  • I build projected income statements and balance sheets that are linked together and driven by my stated assumptions.
Alignmentthe outcomes you steer toward
  • I calculate enterprise value by discounting the projected cash flows of a company's operations, independent of how it is financed.
  • I get from enterprise value to equity value by subtracting debt and other claims and adding cash.
Motivationthe states you cultivate in others
  • I calculate free cash flow from my projected statements by adjusting operating profit for taxes, non-cash items, working capital and capital spending.
  • I calculate WACC by weighting the after-tax cost of debt and the cost of equity by their target capital structure proportions.
0 of 7 answered

Proposed measures — starter instruments where no validated one was found

Modeling Assumptions Rigor Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. Every key forecast driver (e.g., revenue growth, margins, capital expenditure, working capital) is documented in a dedicated assumptions section with its stated rationale and source.
  2. Each major assumption is benchmarked against historical results or peer and industry data, and the model records the basis for any departure from them.
  3. Sensitivity or scenario analyses show how changes in the key assumptions affect valuation outputs, and the results are reviewed before the model is finalized.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Cost of Capital Inputs Documentation Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. Each cost of capital input (risk-free rate, equity risk premium, beta, cost of debt, and target capital structure) is shown with its source and as-of date.
  2. The selection of beta and capital structure weights follows a stated method (e.g., peer-group comparables or target weights) that is applied consistently across analyses.
  3. Cost of equity, after-tax cost of debt, and weighted average cost of capital are calculated in traceable formulas that a reviewer can reproduce from the documented inputs.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Projected Financial Statements Integrity Index

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. The projected income statement, balance sheet, and cash flow statement are linked so that changes in the assumptions flow through all of them automatically.
  2. The projected balance sheet balances in every forecast period, and the model includes automated checks that flag any imbalance.
  3. Projections cover an explicitly stated forecast horizon, and each line item is driven by a documented assumption rather than a hard-coded value.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Sources

  • Financial Modeling, 3rd Edition — Simon Benninga · A comprehensive, practical guide that teaches finance students and professionals how to build and implement a wide range of financial models using Microsoft Excel.

The cheat sheet

Everything, on one page

One key takeaway from each section, with links to read more.

Publication details

Consult the sources listed in this guide for further reading. Edition 1 · Updated 2026-10-03.

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