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1 Massachusetts Institute of Technology Engineering System Analysis for Design Richard de Neufville © Michael Benouaich Slide 1 of 16 Valuation with Simulation of Flexibility “on” and “in” a System Capital Investment and Engineering Flexibility in the development of the Antamina mine (Peru)
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Page 1: Antamina Michael 09

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 1 of 16

Valuation with Simulation of Flexibility “on” and “in” a System

Capital Investment andEngineering Flexibility in the development of

the Antamina mine (Peru)

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 2 of 23

Class focuses on design features that enable systems to evolve easily (e.g., more floors to garage). This is flexibility “in” system.

We can also discuss flexibility to abandon a project, to delay its opening. Such flexibilities have nothing to do with design. This kind of flexibility is known in finance as a “real option”. More about those important flexibilities later in course. This is flexibility “on” a system.

Definition; “on” and “in” flexibility

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 3 of 23

This presentation is based on the case developed by Peter Tufano and Alberto Moel from the Harvard Business School.

It contains simplifications. The figures appearing here differ from those presented by Tufano and Moel. They reflect the assumptions of the authors of this presentation about the treatment of uncertainty and the cash flows projection.

Note

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 4 of 23

Antamina Project DescriptionState-owned copper and zinc mine in Peru, ~480km (300miles) north of LimaPrivatization in 1996: call for bids. Small upfront payment + promise to developLittle reliable geological informationGeological study to take two years, start after the bidding, be available before constructionProceed with development if survey suggested the mine could be developed economically

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 5 of 23

Antamina Auction ProcessGovernment Required:–Bidding on 2-stage process–Companies must bid for right to explore and

must decide on development in 2 years–Big penalty for not developing (why?)

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 6 of 23

Antamina Mine Time LineStep 1: explore geology, topography for access Step 2: decide to develop and spend 3 years on building facilities before getting profits in Year 6

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 7 of 23

Project Time Line

Bid & Win

Explore (years 0 to 2)

Develop: CapEX(years 2 to 5)

Produce Metal (from year 5 until closure)

Close mine

Walk away

Year 2

This is Flexibility “on” System. Why?

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 8 of 23

Antamina Mine Flexibilities• “on” Flexibility

–Winning Company has flexibility to abandonmine in 2 years

• “in” Flexibility–Designers can create flexibility “in” system–Ex: create port during exploration period, to

provide flexibility to expedite development to 2 years (from 3) – and thus advance revenue stream by 1 year and increase NPV

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 9 of 23

Antamina Mine SimulationSystem Model: NPV depends on: –ore quality, quantity –cost of mining–value of metals (mostly copper, zinc and “moly”)

Distributions for Key parameters–Estimated: Technical Cost Models (of mine ops)–Assumed: Market data (historical data)–Guessed: Expert Judgment on ore quality

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 10 of 23

Sources of Uncertainty

RevenuesMine’s lifeFuture prices of zinc and copperQuantity of ore

CostsOperation expensesCapital Expenditures

Uncertainty treatmentDeterministic Stochastic process (Lattice, Years 0 to 2)

Probability distributions Monte Carlo simulation

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 11 of 23

Sources of Uncertainty

Price and quantity uncertainty prevails only during the first two yearsPrice risk is assumed to be eliminated in year 2 by entering forward contracts to sell the output of the mine (this is assumption M&T made – a bit of a stretch…)All other sources of uncertainty are modeled in the Monte Carlo simulation after year 2

Simulation result: Realization of expected NPV

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 12 of 23

Monte Carlo Simulation

1. Probability values for significant

factors

2. Random selection of

factors according to their pdf

3. Determine NPV for each combination

4. Repeat process and obtain NPV distribution

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 13 of 23

Antamina Mine ValuationAssumed operators could “lock in” price for metal by long-term contracts over life of mine–Probably not possible. Necessary assumption to

for financial analysis to get life-time NPV of mine

Value of “on” Option = EV(all positive NPV) –EV(project without option to abandon)

Value of “in” Option = further improvements in NPV due to flexibility provided

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 14 of 23

Results: Base Case – No FlexibilityCrystal Ball Student EditionNot for Commercial Use

Frequency Chart

Mean = $556.85.000

.011

.023

.034

.046

0

114.2

228.5

342.7

457

($1,092.85) $684.28 $2,461.40 $4,238.52 $6,015.64

10,000 Trials

Forecast: NPV (base case)

Mean = $550 M

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 15 of 23

Simulation Results: Flexibility to AbandonCrystal Ball Student EditionNot for Commercial Use

Frequency Chart

Certainty is 75.61% from $0.00 to $6,015.64

Mean = $556.85.000

.011

.023

.034

.046

0

114.2

228.5

342.7

457

($1,092.85) $684.28 $2,461.40 $4,238.52 $6,015.64

10,000 Trials

Forecast: NPV (base case)

Mean = $819

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 16 of 23

What “rule for exercising flexibility”?

What Rule Useful for Antamina?

Rule for exercising flexibility defines time, conditions for choosing to exercise

flexibility

In this case:• Only 1 time available;

• Condition obvious: get out if expect losses

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 17 of 23

Valuation: Flexibility to Abandon

Value of flexibility to abandon:$819 - $550 = $269 million

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 18 of 23

Add flexibility, add value?Starting engineering study earlier and faster would allow you to shorten construction to two years and ramp up production faster

What would you pay for this flexibility?

Engineering Flexibility

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 19 of 23

Simulation Results: Early DevelopmentCrystal Ball Student EditionNot for Commercial Use

Frequency Chart

Mean = $574.92.000

.011

.023

.034

.046

0

114.2

228.5

342.7

457

($1,160.61) $658.32 $2,477.25 $4,296.18 $6,115.11

10,000 Trials

Forecast: NPV (early development)

Mean = $567

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 20 of 23

Valuation: Flexibility of Early Development

Early Development Flexibility (alone):$567 - $550 = $17 million

Would easily justify several million $ spent early on design work

This flexibility would in fact be compounded with the flexibility to abandon

Generally not additive!

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 21 of 23

Simulation Results: Both Flexibilities

Crystal Ball Student EditionNot for Commercial Use

Frequency Chart

Certainty is 76.09% from $0.00 to $5,926.22

Mean = $566.91.000

.011

.023

.034

.046

0

114.7

229.5

344.2

459

($947.79) $770.71 $2,489.21 $4,207.72 $5,926.22

10,000 Trials

Forecast: NPV (early development)

Mean = $836

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 22 of 23

Valuation: Both Flexibilities Together

Value of both Flexibilities together:$ 836- $550 = $286 million

Incremental Value of Early Development Flexibility:

$ 836- $819 = $17 millionAppears additive, but actually a difference. In this case rounded out and insignificant

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Massachusetts Institute of TechnologyEngineering System Analysis for Design

Richard de Neufville ©Michael Benouaich Slide 23 of 23

ReferencesTufano, P., Moel, A., (1997) “Bidding for Antamina”, Harvard Business School Case number 9-297-054, Rev. Sept. 15.

Tufano, P., Moel, A., (2000) “Bidding for the Antamina Mine – Valuation and Incentives in a Real Option Context”, in “Project Flexibility, Agency, and Competition,” edited by Brennan, M. and Trigeorgis, L., Oxford University Press

Hertz, D. (1979) “Risk Analysis in Capital Investment”, Harvard Business Review September-October, pp. 169-180