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Estimating Cost Contingency

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Padded estimate =self-fulfilling prophecy means money allocated is money spent. Spent padded budget = misleading historical database. PMI OVOC October 25th, 2006 ... – PowerPoint PPT presentation

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Title: Estimating Cost Contingency


1
Estimating Cost Contingency
  • A Real Options Approach
  • Dr. Said Boukendour
  • Professor at University of Quebec

2
Contingency
  • One of the most common project failure is to
    start with an inadequate budget
  • How to assess uncertainties affecting cost in
    order to be able to set competitive targets and
    achievable commitments ?

3
Contingency
  • Contingency is probably the most misunderstood
    and misapplied word.
  • It can mean different things to different people
  • tolerance in specification
  • float in schedule
  • money in budget

4
Contingency
  • Contingency is an amount added to an estimate to
    allow for additional costs that experience shows
    will likely be required (AACE 1998)
  • Total Budget Base EstimateContingency

5
Contingency
  • What things it is meant to cover for ?
  • Costs that may result from incomplete design,
    unforeseen and unpredictable conditions, or
    uncertainties within the defined project scope
  • What things is it not meant to cover for?
  • Changes in scope or or unforeseeable major events
    such as strikes or earthquakes

6
Contingency
Acts of God
Scope Changes
Cost Uncertainties
Scope Definition
Contingency
Price Escalation
Base Estimate
7
How might contingencies be calculated?
  • For most contractors, price setting and
    commitments raise a dilemma between being
    competitive enough to get the work and the
    avoidance of possible losses
  • Pressure to secure orders might undermine
    rational assessment of project cost and schedule
    risks

8
How might contingencies be calculated?
  • As a part of a projects cost estimate,
    contingency under estimation or over estimation
    can lead an owner to
  • Undertake a project that should be rejected
  • Reject a project that should be accepted
  • Misallocate resources during project
    implementation

9
Deterministic Method
  • Also known as Traditional Add-on
  • Projects characteristics related directly to a
    percentage figure on the base estimated costs
  • The percentages may be developed from checklists
    or by matching project characteristics to the
    characteristics of previously completed projects
    stored in the database
  • The cost engineer makes a judgement should more
    or less contingency be added to this situation

10
Recommended Percents
11
Problems
  • Single-figure implies degree of certainty that
    is simply not justified
  • Arbitrary - Difficult to justify
  • Double-counting - Hidden Contingency in each cost
    element (padding) to total cost
  • Padded estimate self-fulfilling prophecy means
    money allocated is money spent
  • Spent padded budget misleading historical
    database

12
Probabilistic Method
  • Assign a probability distribution for each cost
    component
  • Three points estimate is the most used
    distribution

13
Probabilistic Method
  • Calculate cost mean and variance for each
    component as follows

14
Probabilistic Method
  • Sum all means and variance to get the cost mean
    and variance for the whole project
  • Central Limit Theorem total cost has normal
    distribution

15
Probabilistic Method
  • Probability tables (z scores) Change Z for X
  • Choose C for desirable level

16
Monte Carlo Simulation
  • Monte Carlo is a city of Monaco, where the
    primary attractions are casinos containing games
    of chance.
  • The random behavior in games of chance is similar
    to how a Monte Carlo simulation selects variable
    values at random to simulate a model.
  • When a die is rolled, the outcome is unknown
    within the range of one to six.
  • A similar situation exists for project coststhat
    have a range of values (assigned by the cost
    uncertainty analysis)

17
Monte Carlo Simulation
  • Inputs and Outputs

18
Monte Carlo Simulation
19
Project As Short Selling
  • A project is a promise of delivering something
    which does not exist yet
  • At completion, the project will be completed for
    the actual cost, which remains uncertain
  • A short seller sells some quantity of goods
    without owning it
  • At expiration, the short seller will buy the
    goods for the market price, which remains
    uncertain

20
Hedging Strategy
  • To hedge against the price rise, the short seller
    can buy a call option that gives him the right to
    buy the quantity of goods for a determined price
    at the expiration date of the contract
  • The short sellers expense will be limited to a
    ceiling amount made up of the contract amount
    plus the option premium.

21
Contingency As Risk Market Price
  • Let us assume there is a stock that exactly
    mirrors the project cost volatility,
  • Thus, it would be possible to buy a call option
    on this stock for an amount equivalent to the
    project estimated cost
  • The option, which expires at the completion date,
    will be exercised only if the spot price will
    exceed the strike price

22
Contingency As Risk Market Price
  • In this case, the stock acquired for the strike
    price will be immediately sold for the spot price
  • According to the perfect correlation assumed
    above, the profit that will result will
    completely offset the cost overrun
  • By the same token, the projects cost will be
    limited to a total amount made up of the budgeted
    cost plus the option premium

23
Contingency As Risk Market Price
  • For that hedge to be effective, it is necessary
    that the mirrored stock actually exists
  • The purpose is not to transfer this risk to any
    third-party but to price it fairly.
  • Fair contingency can be defined as the risk
    premium that would be required by the market is
    the project was traded in.

24
Software Cost Estimation Using COCOMO II
  • COCOMO is a parametric estimation model based on
    a study of hundreds of software projects
  • The COCOMO calculations are based on the estimate
    of projects size in Source Lines of Code (SLOC)
  • Effort (PM) 2.94EAF(KSLOC)E
  • http//sunset.usc.edu/research/COCOMOII/

25
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26
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27
Option Pricing
  • Black-Scholes formula
  • CSN(d1)-Xe-rtN(d2)
  • With

28
Option Pricing
  • Taking
  • S median (16.9(26.4-16.9)/221.65)
  • X strike price or most probable cost 21.1
  • r 0
  • Sigma sqr(t) ((26.4-16.9)0.25)/21.65 11 with
    95 confidence
  • We get
  • C21.65N(0.28)-21.1N(0.18)1.24

29
Option Pricing
30
Option Pricing
31
Conclusions
  • The main contribution of this research is to
    bring the market into the cost estimation process
    in order to eliminate the arbitrary and to
    improve rationality and efficiency in investment
    decision making and resource allocation
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