Five Keys to Successful Portfolio Mgmt.ppt
Transcript of Five Keys to Successful Portfolio Mgmt.ppt
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Five Essential Keys to Successful Portfolio Management
Stuart HarrisThe Dept of Decision Sciences & Modelling
DAAG Conference - May 2001 - Houston, TX
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Decision Sciences & Modeling (DS&M)
Overview of Portfolio Management
The Five Keys
1. Corporate Buy-in
2. Risk Management
3. Revenue Stream
4. Efficiency of Investment
5. Profit
Summary
Contents
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Decision Sciences & Modeling (DS&M)
Overview of Portfolio Management
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Decision Sciences & Modeling (DS&M)
Overview
BASIC CRITICAL POINTS
• The R&D portfolio is the future of the company.
• To manage it is to distribute scarce resources across a set of projects as well as across a set of project strategies.
• Priorities must be established and difficult choices must be made.
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Decision Sciences & Modeling (DS&M)
MANAGEMENT REQUIRMENTS
• Because of ‘surprises’, good management means flexibility.
• Of critical importance is that senior management understand the principles, the objectives, and the knowledge to make correct choices.
Overview
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Decision Sciences & Modeling (DS&M)
THE GOAL
• The ultimate aim is to create value and to do it over time.
• If a pharmaceutical does it well, then it will be successful.
• The optimal portfolio is one which (1) maximises expected value today and into the future, (2) addresses risk (attrition), and (3) optimally distributes resources.
Overview
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Decision Sciences & Modeling (DS&M)
The Five Essential Keys
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Decision Sciences & Modeling (DS&M)
The Five Essential Keys
SELECTION CRITERIA
To qualify as a key, each factor had to meet the following criteria:
• It had to relate to all R&D projects, not just a subset.
• Corporate management could elect ‘not to pursue’ the factor.
• If the company didn’t do it (by accident or by design), it would not be successful?
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Decision Sciences & Modeling (DS&M)
Key #1 - Corporate Buy-in
This means that both management at all levels and project team members understand and are willing to follow the principles of Portfolio Management.
This is key for two simple reasons...
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Decision Sciences & Modeling (DS&M)
Key #1 - Corporate Buy-in
Management -The Decision Making Process is the 1st Step in Achieving Goals and Objectives.
Making correct portfolio choices, project strategies, resource allocations, and timings are the responsibility of Corporate Management.
Decision makers must understand the nature of decision making under uncertainty as well as the quantitative measures that lead to success.
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Decision Sciences & Modeling (DS&M)
Key #1 - Corporate Buy-in
Project Teams -The Best Decision Requires the Best Information Available
Information is data that is put in a form that allows goals and objectives to be pursued.
Providing correct project data is the responsibility of project team members and no one else. These individuals represent expert knowledge which is the best information available to decision makers.
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Decision Sciences & Modeling (DS&M)
Key #1 - Corporate Buy-in
Without corporate buy-in, Portfolio Managementdoes not exist. As an alternative, one may ask oneself, “Do I feel lucky?!”
‘Dirty Harry’
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Decision Sciences & Modeling (DS&M)
Key #2 - Risk Management
The need to manage risk appears obvious, but (1) it is not always done and (2) when it is done, it is not always done correctly.
We will consider:
1. What happens when ‘risk’ is not assessed or used.
2. Why some do not want to assess or use ‘risk’.
3. What are ‘right’ and ‘wrong’ ways in which to use it.
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Decision Sciences & Modeling (DS&M)
Key #2 - Risk Management
1. What happens when ‘risk’ is not assessed or used.
Valu
e
BlockbusterPotential
Probability of SuccessVa
lue
WorthNothing
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Decision Sciences & Modeling (DS&M)
Key #2 - Risk Management
The typical explanation as to ‘why’ risk is not assessed is, “It’s too inaccurate to be of any use.”
2. Why some do not want to assess or use ‘risk’.
DEADLY CLEANDEADLY CLEAN
‘Risk’ is actually ‘uncertainty’ and ‘uncertainty’ is actually ‘confidence’. The word ‘inaccurate’ is not even relevant as it is actually a distribution of outcomes for which an expert has some, a lot, or no confidence.
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Decision Sciences & Modeling (DS&M)
Key #2 - Risk Management
WRONG
Two important factors for determining the worth of a drug are the quality of the science and the commercial value. Both are of equal weight as both are critical for success. AR Pharma (a very large pharmaceutical) has decided to use a 0-10 rating for each factor then add the scores. Projects will be prioritized based on their index out of a possible 20.
3. What are ‘right’ and ‘wrong’ ways in which to use risk?
Project A - Science is avg. Score is 5.Comm is avg. Score is 5.Index 10
Project B - Science is bad. Score is 0.Comm is good. Score is 10.Index 10
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Decision Sciences & Modeling (DS&M)
Key #2 - Risk Management
What are ‘right’ and ‘wrong’ ways in which to use risk?
SAFETY
EFFICACY50%
50%
50%
50%
$1b
$250m
Project A
SAFETY
EFFICACY1%
99%
1%
9%
$10b
$1m
Project B
RIGHT
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Decision Sciences & Modeling (DS&M)
Key #3 - Revenue Stream
• Blockbusters are nice, but they are far and in between. Operating capital is required to sustain any business into the future.
• Small projects are the ‘bread & butter’ of a pharmaceutical. If strict adherence is paid to selecting the highest valued opportunity, then a pharmaceutical has to ask itself if it will still be around to reap those benefits in the future.
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Decision Sciences & Modeling (DS&M)
Key #4 - Efficiency of Investment
Efficiency is simply a rate of return. That is, it’s an index.
If you have one dollar to invest and you are trying to maximize your return, then put it in the project with the greatest ROI.
If you don’t do it, your stockholders will and you’ll soon find yourself out of business. But ROI is NOT value. What does it mean to the manager of an R&D Portfolio?
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Decision Sciences & Modeling (DS&M)
Key #4 - Efficiency of Investment
An efficiency index such as ROI or PRODUCTIVITY, can used to pack as much value into a limited space as is possible.
When selecting projects to pursue from a large number, order them by an efficiency measure, then stop when you run out of money. You’ll create your highest valued portfolio.
(One caveat is that you can improve total value a bit by using a special mathematical method called integer programming.)
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Decision Sciences & Modeling (DS&M)
Key #4 - Efficiency of Investment
Other scarce resources such as chemists, drug substance, manufacturing capacity, and time are subject to the same principles of distribution.
Put them into the greatest efficiency projects first!
(If the problem is too complex, remember that integer programming was developed for just such problems.)
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Decision Sciences & Modeling (DS&M)
Key #5 - Profit
Any business in any universe must make a profit, other-wise value is destroyed. Value destruction falls into the same class as
• A vacuum (which nature abhors),
• Black holes (from which nothing escapes) and
• The second law of thermodynamics (a one-way street from which one does not return).
Conclusion: Portfolio management must clearly create value. All else is nice, but not necessary.
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Decision Sciences & Modeling (DS&M)
Summary
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Decision Sciences & Modeling (DS&M)
Corporate Buy-in
Risk Management
Productivity
Project C
Project I
Project B
Project FProject H
Project G
Project E
Project D
Project J
Project A
Likelihood of R&D Success
Net
Pre
sent
Val
ue
Years
Ris
k Ad
just
ed N
et S
ales
Project I
Project BProject FProject G Project E
Project JProject A
Risk Adjusted Costs
Ris
k Ad
just
ed N
PV
Value Optimisation
Best Use of Resources?
Optimal Growth?
Optimal Project Plan?
Optimal Regional Portfolio?
Optimal Therapeutic portfolio?
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Decision Sciences & Modeling (DS&M)
Prob
abili
ty (%
)
Gold Std
Value (£)
Project C
Project I
Project B
Project FProject H
Project G
Project E
Project D
Project J
Project A
Likelihood of R&D Success
Net
Pre
sent
Val
ue
Risk Distribution
Risk Management
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Decision Sciences & Modeling (DS&M)
Years
Ris
k A
djus
ted
Net
Sal
es
Control Cash Flow
Revenue Stream and Efficiency
Proj I
Proj BProj F Proj G Proj E
Proj JProj A
Risk Adjusted Costs
Ris
k A
djus
ted
NPV
Use Efficiency Measures
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Decision Sciences & Modeling (DS&M)
Project C
Project I
Project B
Project FProject H
Project G
Project E
Project D
Project J
Project A
Likelihood of R&D Success
Net
Pre
sent
Val
ue
Risk-Adjusted NPV
Profit
SAFETY
EFFICACY
PRESENTATION
Value in £’s
% of Occurrence
Commercial Environment
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Decision Sciences & Modeling (DS&M)
In SummaryIn Summary
The Portfolio represents the future of a company. Success is determined by value creation today and in
the future. In the face of uncertainty, the use of ‘expected (risk-
adjusted) values’ tips the odds of winning in favor of decision makers.
The ‘best’ portfolio is that which efficiently distributes resources and maximizes productivity.