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© Kelvin Stott 2013
Working with Risk in Pharma R&DHow to define, measure, manage, and embrace it
Kelvin Stott PhDPharma R&D Portfolio Strategy, Risk & Decision Consultant
BPE Pharma SummitLondon, 27 February 2013
© Kelvin Stott 2013Source: BCG / Bernstein Research, 2010
R&D productivity has fallen by 99% over the past 60 years: Cost is now $4 billion per NME!
New technologies have done nothing to slow the steady decline in R&D productivity
Note thelog scale!
© Kelvin Stott 2013
Biggest cost is failure as attrition rates have risen dramatically, especially in late development
Source: PhRMA
© Kelvin Stott 2013
Decreasing quality of new
drug leadsTechnical
Increasing standards
of care
Commercial& regulatory
Pharma R&D output has been hit by technical, commercial, regulatory & operational factors
Decreasing productivity
Increasing costs/project
Increasing timelines
Decreasing success rates
Decreasing organizational effectiveness
Operational
Poor decisions due to misunderstanding of risk
© Kelvin Stott 2013
What is risk?
How to define risk?
How to measure it?
How to manage it?
© Kelvin Stott 2013
Risk defined by ISO 31000
“Effect of uncertainty
on objectives”
© Kelvin Stott 2013
What is the main objective?
Get new products to market?Meet customer needs?Maximize sales/profit/value/ROI/… ?Minimize/manage risk?Maximize probability of success?Optimize time, cost, quality?Do the right projects, do them right?Support the strategy?Manage resources effectively?
© Kelvin Stott 2013
Objective depends on stakeholder perspective
Business & ShareholdersMaximize Actual Net Value Added (NPV or ROI)
Customers (Patients, Physicians, Regulators, Payers & Providers)
Maximize Actual Net Health Benefit vs Cost
1. Business objective absolutely depends on customer objective as key value driver (win-win)
2. Actual outcome ≠ Expected outcome3. Potential difference is based on risk
© Kelvin Stott 2013
Expected value depends on many value drivers: All of them are assumptions!
Expected Value/ROI
OperationalTechnical & regulatory Commercial BD&L
Sales, P&L, cash flow forecasts
Financial
Product claimsPoS by phaseProb. approval
R&D costs R&D timelinesLaunch dateCapexCOGSS&M costsG&A costs
Target patientsMarket shareAdoption rateDose & compl.Net priceNew entrantsGeneric entryOther factors
Licensing feesDev. m’stonesSales m’stonesRoyalty rates
Discount rateDSI, DSO, DPOExchange ratesInflation ratesTax rates
© Kelvin Stott 2013
Risk is uncertainty in value, based on uncertainty in all value drivers (quality of assumptions)
Value/ROI± RISK
OperationalTechnical & regulatory Commercial BD&L
Sales, P&L, cash flow forecasts ± RISK
Financial
Product claimsPoS by phaseProb. approval
R&D costs R&D timelinesLaunch dateCapexCOGSS&M costsG&A costs
Target patientsMarket shareAdoption rateDose & compl.Net priceNew entrantsGeneric entryOther factors
Licensing feesDev. m’stonesSales m’stonesRoyalty rates
Discount rateDSI, DSO, DPOExchange ratesInflation ratesTax rates
© Kelvin Stott 2013
Corporate Value ± RISK
Comm. portfolioValue ± RISK
TA portfolio Value ± RISK
TA portfolio Value ± RISK
TA portfolio Value ± RISK
TA portfolio Value ± RISK
Project Value± RISK
Project Value± RISK
Project Value± RISK
Project Value± RISK
Product Value± RISK
Product Value± RISK
Product Value± RISK
Product Value± RISK
R&D portfolioValue ± RISK
Portfolio risk is based on uncertainty in the value of all projects (and individual value drivers)
© Kelvin Stott 2013
Business goal is to optimize risk-return profile of asset value/ROI in line with risk appetite
Risk
Expected Value/ROI
Risk appetite
Available options
Target
profile
© Kelvin Stott 2013
Similarly, customer goal is to optimize risk-return profile in terms of Net Health Benefit vs Cost
Risk
Expected Net Health Benefit vs Cost
Risk appetite
Available options
Target
profile
© Kelvin Stott 2013
Each point on risk-return landscape represents uncertainty in expected outcome
Expected Outcome
Risk
© Kelvin Stott 2013
Risk & uncertainty: Basic concepts
Both risk and uncertainty are:Based on the current lack of certainty in a potential fact, event, outcome, or scenario, etc.Defined by probabilities or probability distributions Include upside and downside potentialSubjective: depend on who knows what
Key differencesRisk involves exposure to impact: consequences that matter to a subjectHence, risk is even more subjective, depends on how much the consequences matter, to whom
© Kelvin Stott 2013
3 basic sources of risk & uncertainty
Known unknownsPotential facts, outcomes, scenarios that we are aware of, but don’t yet know with any certaintyBased on stochastic processes and known probability laws
Unknown knownsCertain facts that others know but we don’tBased on information asymmetry or poor communication
Unknown unknownsPotential facts, outcomes or scenarios that we are not yet aware of, have not considered or encountered beforeRare and extreme events or outliers (“black swans”) in the tails of a probability distributionOften over-looked due to lack of experience/imagination
© Kelvin Stott 2013
Risk and uncertainty are often complex, based on discrete & continuous probability distributions
Discrete
Continuous
Complex
© Kelvin Stott 2013
Volatility risk is expected deviation from expected value (mean absolute deviation vs eNPV)
Scenario Value
Probability
Expected value
(eNPV)
Downside volatility
risk
Upside volatility
risk
© Kelvin Stott 2013
Downside tail risk is average value (expected loss) over worst X% of all potential scenarios (CVaR)
Scenario Value
Probability
Expected value
(eNPV)
Downside tail
risk
© Kelvin Stott 2013
Volatility Risk ≠ Tail Risk ≠ Probability of Failure≠ Maximum Loss ≠ Risk-Adjusted Value
Scenario Value
Downside volatility
risk
Upside volatility
risk
ProbabilityProbabili
ty of failure
Expected value
(eNPV)
Maximumloss
Downside tail
risk
© Kelvin Stott 2013
PoS is a key value driver, but a poor & misleading indicator of risk (uncertainty in value)
PoS
ValueExpected Value= PoS x Upside
Value + (1-PoS) x Downside Value
Volatility Risk= 2 x PoS x (1-PoS)x (Upside Value -Downside Value)
© Kelvin Stott 2013
Even the experts misjudge risk in the most clear and simple cases
4 simple options have the same expected value of $100: Which is the “MOST RISKY” option?1. Gain $100 (100% probability)2. Gain $300 (75%) or lose $500 (25%)3. Gain $500 (50%) or lose $300 (50%)4. Gain $700 (25%) or lose $100 (75%)
13% of experts1 chose Option 1 as “most risky”26% chose Option 2 based on potential loss only26% chose Option 4 based on probability onlyOnly 35% chose correct Option 3 based on potential loss and probability combined2
1. LinkedIn survey of over 800 professional risk managers, financial analysts and investors2. Greatest risk according to all key risk metrics: expected loss ($150); downside risk vs EV ($200);
standard deviation ($400); mean absolute deviation vs EV ($400)
© Kelvin Stott 2013
Where are your projects now on the risk-return landscape? Where is your overall portfolio?
Risk
Phase 1projects
Phase 2projects
Phase 3projects
Currentproducts
BD&L options
Expected Value/ROI
© Kelvin Stott 2013
Risk appetite
Target
profile
Where do you want them to be? How will you get them there?
Risk
Available options
Expected Value/ROI
© Kelvin Stott 2013
Risk-return profiles are evaluated, managed and optimized by a continuous iterative process
EVALUATE PROGRESS
DEVELOP & EVALUATE OPTIONS
MAKE DECISIONSEXECUTE
DECISIONS
RISK-RETURNOPTIMIZATION
© Kelvin Stott 2013
Expected value & ROI are calculated based on all potential value drivers (assumptions)
Value& ROI
Operational value drivers
Technical & regulatory
Commercial value drivers
BD&Lvalue drivers
Sales, P&L, cash flow forecasts
Financial value drivers
Product claimsPoS by phaseProb. approval
R&D costs R&D timelinesLaunch delayCapexCOGSS&M costsG&A costs
Target patientsMarket shareAdoption rateDose & compl.Net priceNew entrantsGeneric impactOther factors
Licensing feesDev. m’stonesSales m’stonesRoyalty rates
Discount rateDSI, DSO, DPOExchange ratesInflation ratesTax rates
© Kelvin Stott 2013
Uncertainty in each value driver is modeled by a 4-parameter distribution fit to all available data
Bottom-up analysis
Top-down analysis
Internal experts
External advisors
Skew ShapeMean Spread
© Kelvin Stott 2013
The Science and Art of evaluating risk
Left and right brain must work
together
© Kelvin Stott 2013
The probability distribution of each value driver is fed into the valuation model
Value& ROI
Operational value drivers
Technical & regulatory
Commercial value drivers
BD&Lvalue drivers
Sales, P&L, cash flow forecasts
Financial value drivers
Product claimsPoS by phaseProb. approval
R&D costs R&D timelinesLaunch delayCapexCOGSS&M costsG&A costs
Target patientsMarket shareAdoption rateDose & compl.Net priceNew entrantsGeneric impactOther factors
Licensing feesDev. m’stonesSales m’stonesRoyalty rates
Discount rateDSI, DSO, DPOExchange ratesInflation ratesTax rates
© Kelvin Stott 2013
The expected value distribution is calculated by Monte Carlo simulation to evaluate risk
Scenario Value
Probability
Expected value
(eNPV)
Downside volatility
risk
Upside volatility
risk
© Kelvin Stott 2013
Target
profile
The risk-return profile is plotted on the risk-return landscape to represent uncertainty in value/ROI
Risk
Expected Value/ROI
Risk appetite
© Kelvin Stott 2013
Options are developed by creativity and intuition, based on sensitivity of key value/risk drivers
Project value/ROI ± riskValue driver
Phase 3 PoS
R&D timelines
Phase 2 PoS
Market share
R&D costs
Generic impact
COGS
Uncertainty
© Kelvin Stott 2013
Options are quickly evaluated by modifying only the relevant value/risk drivers (assumptions)
Value& ROI
Operational value drivers
Technical & regulatory
Commercial value drivers
BD&Lvalue drivers
Sales, P&L, cash flow forecasts
Financial value drivers
Product claimsPoS by phaseProb. approval
R&D costs R&D timelinesLaunch delayCapexCOGSS&M costsG&A costs
Target patientsMarket shareAdoption rateDose & compl.Net priceNew entrantsGeneric impactOther factors
Licensing feesDev. m’stonesSales m’stonesRoyalty rates
Discount rateDSI, DSO, DPOExchange ratesInflation ratesTax rates
© Kelvin Stott 2013
Risk appetite
Target
profile
Risk-return profiles of options are calculated and plotted on the risk-return landscape
Risk
Expected Value/ROI
© Kelvin Stott 2013
Risk appetite
Target
profile
Options are selected based on risk-return profile vs risk appetite
Risk
Expected Value/ROI
© Kelvin Stott 2013
Target
profile
Changes in the risk-return profile are monitored as new data & information become available
Risk
Negative data
Positive data
Expected Value/ROI
© Kelvin Stott 2013
The process is applied iteratively throughout the entire project/product lifecycle
EVALUATE PROGRESS
EVALUATE OPTIONS
MAKE DECISIONSEXECUTE
DECISIONS
Research& discovery
Preclinical developmt.
Approval& Launch
Lifecycle managemt.
Clinical developmt.
© Kelvin Stott 2013
The process can be applied to any business asset, at any level, at any stage of development
Individual R&D projects (early or late-stage)Marketed products (branded or generic)BD&L opportunities (in & out-licensing deals)Entire portfolios (R&D or commercial)
© Kelvin Stott 2013
Change and innovation require taking significant risks to step into the unknown
© Kelvin Stott 2013
Risk-averse herd thinking can be very unsafe
© Kelvin Stott 2013Source: Bernstein Research, 2010
Especially when the industry is facing the biggest challenge in its history
© Kelvin Stott 2013
Bobcat climbs cactus to escape hungry lion
Sometimes taking more risk is the safest, or only option to adapt and survive
© Kelvin Stott 2013
Risk-averse corporate cultures are reinforced by a vicious cycle
Risk-averseleadership
Risk-aversedecisions
Risk-aversebehaviour
Risk-aversehiring &
promotion
RISK-AVERSECULTURE,
RESISTANT TO CHANGE
© Kelvin Stott 2013
Generics and biosimilars:
exact copies of existing drugs competing on
price only
Pharma companies face a strategic dilemma to take on more technical or commercial risk
Incremental improvements
of existingdrugs based on
established target/MoA
Revolutionary first-in-class treatments
based on newand unproven target/MoA
Combination therapies and
improved formulations of existing drugs
Increasing technical risk (innovation)
Increasing commercial risk (competition)
Regardless of strategy, overall risk is increasing with time
© Kelvin Stott 2013
Key message
Pharma companies will need to take more risk in the short term – but
manage it better, smarter –in order to innovate, adapt and
survive in the long term
© Kelvin Stott 2013
Summary
Risk is expected deviation from expected value, based on uncertainty in all value driversGoal is to optimize risk-return profile of assets according to stakeholder risk appetiteContinuous process of developing & evaluating options to navigate risk-return landscapeApplies to all assets, at every level, every stageRisk is critical for change & innovation, requires great courage by individuals (i.e., you)R&D is risk management: Manage the risks, the objectives will take care of themselves