Business Planning and Evaluation · Chapter 1 · 1.1.5

Arguing about different things

Critical analysis: the limits of valuation methods and two open disputes

Rolandas Rakštys · lecturer · Vytautas Magnus University, Agriculture Academy · Faculty of Bioeconomy Development, Department of Business and Rural Development · rolandas.rakstys@vdu.lt · ORCID 0000-0003-0299-9930

Chapter 1 “Foundations of Business Value”, section 1.1.5 · English translation of v0.18.0 (2026-11-03) · set v1.0 · 21 slides, ≈ 34 min

Rakštys, R. (2026). Chapter 1. Foundations of Business Value (English translation of v0.18.0, 2026-11-03). Verslo planavimas ir vertinimas [Business planning and evaluation]. Vytautas Magnus University, Agriculture Academy. https://rakstys.eu/studijos/verslo-planavimas-ir-vertinimas/en/skyriai/ch01/ · CC BY-NC-ND 4.0

Introduction

From ontology to the limits of methods

1.1.2the ontology of value
1.1.3the structure of the dualism
1.1.4transformations of the concept
→
1.1.5the limits of valuation methods

This section changes the perspective: it examines the limits of valuation methods, compares different approaches and identifies unresolved academic problems.

“The purpose of a critical assessment is not to discredit existing methods but to understand the bounds of their application – when a given approach is appropriate, when it is insufficient, and why.”
  1. Dispute 1: is DCF enough?
  2. integrative table
  3. five open problems
  4. Dispute 2: state or process?
  5. recommendations
  6. calibration
The first dispute

Is DCF enough?

A question about the discounted cash flow method (DCF):

“Is DCF the foundation of valuation to which other methods merely contribute, or one instrument among equals, suited only to businesses of a certain kind?”
Calculator
Sceptic
supplementsubstitute

On the answer depends whether alternative methods count as a supplement or as a substitute.

The first dispute · position

Only DCF expresses the definition of value

Calculator

“value is the present value of future economic flows”

(Fisher, 1930; Williams, 1938)

present valuefuture economic flows

Other methods lack this connection:

Multiples

import the pricing of other transactions

Asset-based valuation

measures historical outlays

DCF assumptions are visible and open to dispute: they are written into the model and can therefore be tested (Damodaran, 2012). The choice of a multiple permits no such review.

The first dispute · the opposing position

The primacy is conditional

The primacy applies only where the model’s assumptions are satisfied. DCF preserves the central intuition that value must relate to future economic flows, but its limits are “serious and well documented” (Phelan, 1997; Crouzet et al., 2022).

Sceptic
  1. 1Parameter sensitivityslide 6
  2. 2Insufficiency of the model
  3. 3The opacity of intangible capital
  4. 4The dominance of terminal valueslide 7

2 · Insufficiency of the model

DCF suits the valuation of stable, predictable businesses more naturally than it suits strategic flexibility, synergies or option-like payoffs.

Real options theory was developed to fill precisely this gap, but calibrating it in practice is demanding and depends on modelling choices.

3 · The opacity of intangible capital

Where the drivers of value are data, talent, platform governance or organisational routines, short-term cash flows may be a poor reflection of the real generation of value.

The first dispute · limit 1

Not an answer but a range

Terminal growth rate

2 % → 3 %

one percentage point

Change in total value when the weighted average cost of capital (WACC) is:

WACC 12 %8.1 %
WACC 8 %16.5 %

This chapter’s sensitivity table, section 1.2 · Calculate it yourself – in the 1.2 trainer →

No universal magnitude can be stated: the size of the effect is governed by the gap between the discount rate and the growth rate, by the share of terminal value in total value, and by the forecast horizon.

Terminal value itself responds more strongly than total DCF value; where the gap between the discount rate and the growth rate is small, the change may exceed 50 %.

“A DCF result is therefore less an ‘answer’ than a ‘sensitivity range’.”

The first dispute · limit 4

Most of it is extrapolation

60–80 % of total DCF value consists of terminal value

a practitioners’ rule of thumb, not an empirical law

Terminal value is the value attributed to the period beyond the explicit forecast.

It rests on highly simplified assumptions – constant growth in perpetuity.

“…the greater part of value is essentially an extrapolation rather than a forecast.”

The first dispute · why the positions differ

Arguing about different things

“The dispute arises not from conflicting data but from a different question.”

Calculator
Sceptic

Which method best expresses the concept of value?

DCF

Which method yields the most reliable answer for a particular object?

it depends on the object

“Both answers are correct for their own question, which is why the dispute is often left unresolved – the parties are arguing about different things.”

The first dispute · epistemic status

Which limit is firmest?

The epistemic status of the four DCF limits is uneven. Rank the three that the chapter ranks, from the most rigorously to the least well grounded.

most rigorously grounded
least well grounded

Click them in order:

Insufficiency of the model

status not stated in the chapter

so it is left off the scale

The proportions of terminal value dominance depend on the forecast horizon and on growth assumptions, so a general figure is a point of reference here, not a regularity.

The first dispute · practical implication

Is DCF the first choice here?

What follows for the valuer is not the abandonment of the discounted cash flow method (DCF) but a test of its assumptions before choosing it.

“DCF is irreplaceable as a baseline reference but insufficient as a comprehensive ontology of value.”

Integrative table

What it sees, where it is blind

“Each valuation approach illuminates a particular ontological layer while remaining ‘blind’ to others.” Nine approaches, nine spotlights.

Integrative table · conclusion

Pluralism – as far as the question is broad

“No single method covers all five ontological layers.”

Methodological pluralism – combining several approaches – is therefore not a compromise but a methodologically grounded principle.

An assumption worth naming

The conclusion holds where the particular valuation task really does span all five layers. A narrower question – setting a tariff for regulated infrastructure, say – may be answered within a single layer.

“…pluralism is obligatory only so far as the question itself is broad.”

Unresolved problems · 1 of 5

How is intangible capital to be measured?

Although the theory of business value is a mature field, several fundamental questions remain unresolved.

  1. 1measuring intangible capital
  2. 2uncertainty and risk
  3. 3narratives and behaviour
  4. 4private and societal value
  5. 5the temporality of value

How are data, ecosystem position and human capital to be measured reliably and comparably?

Indicators of intangible assets improve valuation, yet such measures remain partial and sensitive to context (Green & Ryan, 2005; Sriram, 2008; Russell, 2016).

Recognition

many intangible assets are not capitalised in the accounts

Boundary

it is unclear whether value belongs to the asset itself or to a complementary system

Depreciation

rates of obsolescence are unstable and specific to context

Transferability

an asset valuable in one environment may be worthless in another

After acquisitions, IFRS 3 requires the transaction premium to be allocated between identifiable intangible assets and goodwill, whose impairment test becomes a subjective act of valuation. Specialised methods – relief from royalty (RRM), multi-period excess earnings (MPEEM) and “with and without” – appear in the case studies of Chapters 13 and 14.

Unresolved problems · 2–5

Four more open files

2Uncertainty and risk

The discounted cash flow method (DCF) and the Capital Asset Pricing Model (CAPM) assume that uncertainty can be reduced to risk. In many strategic and technological environments what is met is Knightian uncertainty – the distribution of probabilities is itself unknown or unstable.

More appropriate: scenario analysis, robust control, reasoning in real options (Phelan, 1997; Alfaro et al., 2024).

3Narratives and behaviour

Behavioural finance has documented cognitive biases and the effect of narratives on prices. How should these be integrated formally with strategic and cash-flow-based models?

Shiller’s (2017) narrative economics offers a qualitative perspective; a quantitative synthesis with DCF or multiples remains open.

4Private and societal value

How should private value be related to societal and ecological value where externalities are material? Regulation (the EU taxonomy, the CSRD, the ISSB standards) is formalising the connection,

but academic theory still lacks a unified model that would integrate them without “crushing” either dimension into the other.

5The temporality of value

Does a product designed to fail after two years (planned obsolescence) create more value than a durable product with smaller periodic flows?

The value-lifespan equilibrium is at once an economic, ethical and ecological problem.

The second dispute

State or process?

“Is business value a magnitude that can be fixed at a point in time, or a process of which a snapshot is misleading in principle?”

On the answer depends how long a valuation conclusion is held to remain valid.

Calculator

The state position

Derived from the assumption of Fisher (1930) and Williams (1938) – the same authors on whom the primacy of DCF rests in the first dispute.

If the flows and the discount rate are defined, value is an unambiguous number, and time enters the model only as the order of discounting. This is how the discounted cash flow method (DCF), multiples and asset-based valuation work: value is a “snapshot”.

The process position

A company’s capabilities and market relations reconfigure themselves continuously: value is “not a noun but a process” – a dynamic “becoming”.

Dynamic capabilities (Teece, 2007): advantage is created not by the set of resources held but by the ability to reconfigure it. Formulas 1.5, 1.6 and 1.8 of the chapter belong to this camp too.

Sceptic
The second dispute · why the positions differ

A dispute about an assumption

“Not because of the data – both sides agree on the facts.” The difference lies in the assumptions.

The state view

the structure of the model is fixed, only the parameters are admitted as variable

The process view

the structure itself changes too

“No empirical study will therefore settle the dispute – it concerns what question the model is permitted to ask at all.” The tension remains: this chapter’s apparatus belongs to the process camp, while everyday valuation tools belong to the state camp.

The second dispute · epistemic status

Two regimes and signals of a break

Under Knightian (1921) uncertainty, what changes is not only the values of the parameters but the applicability of the model itself – we no longer know which sets of scenarios to define.

(a)

Regime of stable probabilistic assessment

DCF and CAPM work as reliable tools of approximation

(b)

Regime of structural uncertainty

what changes is not the parameters but the logic of valuation itself; the earlier risk matrix no longer fits

Signals of a break:

For the manager: not a choice of camp but the recognition of a regime. While the structure of a sector is stable, the state apparatus is appropriate and cheaper; but “the period for which a valuation remains valid must be stated as an assumption rather than inferred from the date on the document”.

Methodological recommendations

A pluralistic toolbox

Baseline tools

DCF

the cash flow “anchor”

Market multiples

the benchmark for market comparison

Necessary supplements

  • The logic of real options – for flexibility
  • Strategic analysis – for rents and barriers to imitation
  • Models of intangible capital – for non-physical assets
  • Ecosystem analysis – for platforms and network businesses
  • Scenario methods – for deep uncertainty
  • ESG integration – for long-horizon risks and opportunities

ESG – environmental, social and governance factors

A rigorous valuation methodology should be pluralistic. This principle is developed in detail in part 1.2 (analytical models and formulas) and applied throughout the book.

Epistemological calibration

There is no judge

Calculator
Scepticthe textbook’s position

“Both disputes discussed in this section remain open, and that is not a defect of exposition.”

Neither is settled by data: the first rests on a different question, the second on a different assumption.

The textbook’s position: DCF is a baseline reference rather than a definition of value; the apparatus is chosen according to the layer in which value resides.

“The position is not neutral – it belongs to the process camp.” The reader has grounds to disagree with it, particularly in valuing stable, predictable businesses.

Dispute 1 – there is something to test: whether the assumptions hold can be assessed before the work begins.

Dispute 2 – there is no test: a regime break is recognised only after the fact, so what remains is “not a method but vigilance”.

Synthesis

Two disputes in one table

The first disputeThe second dispute
QuestionIs DCF enough?State or process?
Why the positions differa different questiona different assumption
Can it be tested?yes – a test of assumptions before the workno – a break is recognised only after the fact
Practical conclusionDCF is a baseline reference, not a definition of valuerecognising the regime; the period of validity is an assumption

For discussion · question 1.17. When is a one-dimensional measure of value – a single number – sufficient for taking a decision, and when is it misleading? Formulate a criterion by which a valuer could decide this before starting work.

APA 7 · works cited in section 1.1.5

References

Alfaro, I., Bloom, N., & Lin, X. (2024). The Finance Uncertainty Multiplier. Journal of Political Economy, 132(2), 577–615. https://doi.org/10.1086/726230

Crouzet, N., Eberly, J. C., Eisfeldt, A. L., & Papanikolaou, D. (2022). The Economics of Intangible Capital. Journal of Economic Perspectives, 36(3), 29–52. https://doi.org/10.1257/jep.36.3.29

Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset (3rd ed.). Wiley.

Dang, T. N., Nandy, M., Lodh, S., & Hussainey, K. (2025). Nature at Risk, Finance at Stake: A Systematic Literature Review of Biodiversity Risk in Finance Research. Business Strategy and the Environment. https://doi.org/10.1002/bse.70398

Fisher, I. (1930). The Theory of Interest. Macmillan.

Gamerschlag, R. (2013). Value Relevance of Human Capital Information. Journal of Intellectual Capital, 14(2), 325–345. https://doi.org/10.1108/14691931311323913

Gordon, M. J. (1959). Dividends, Earnings, and Stock Prices. The Review of Economics and Statistics, 41(2), 99–105. https://doi.org/10.2307/1927792

Green, A., & Ryan, J. J. C. H. (2005). A Framework of Intangible Valuation Areas (FIVA). Journal of Intellectual Capital, 6(1), 43–52. https://doi.org/10.1108/14691930510574654

Knight, F. H. (1921). Risk, Uncertainty, and Profit. Houghton Mifflin.

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Phelan, S. E. (1997). Exposing the Illusion of Confidence in Financial Analysis. Management Decision, 35(2), 163–168. https://doi.org/10.1108/00251749710160322

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Russell, M. (2016). The Valuation of Pharmaceutical Intangibles. Journal of Intellectual Capital, 17(3), 484–506. https://doi.org/10.1108/JIC-10-2015-0090

Shiller, R. J. (2017). Narrative Economics. American Economic Review, 107(4), 967–1004. https://doi.org/10.1257/aer.107.4.967

Sriram, R. (2008). Relevance of Intangible Assets to Evaluate Financial Health. Journal of Intellectual Capital, 9(3), 351–366. https://doi.org/10.1108/14691930810891974

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Yadav, A. (2025). Financial Distress, ESG Practices and Firm Valuation: Comparing Pre- and Post-Paris Agreement Periods. Management Decision. https://doi.org/10.1108/md-05-2024-1159

Rakštys, R. (2026). Chapter 1. Foundations of Business Value (English translation of v0.18.0, 2026-11-03). Verslo planavimas ir vertinimas [Business planning and evaluation]. Vytautas Magnus University, Agriculture Academy. https://rakstys.eu/studijos/verslo-planavimas-ir-vertinimas/en/skyriai/ch01/ · CC BY-NC-ND 4.0

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