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Risk
Uncertainty; everything you do will generate risk.
Risks impact goals
Risks can be positive or negative and have many or few impacts.
Risk management
Trying to prevent risks by identifying all risks and taking action to balance unknowns.
Goal of risk management
Provide decision makers with the right information.
Risk appetite
Desire to engage in risky behavior for more reward; accurately defined as a range.
Risk seeker
Someone willing to pursue higher-risk, higher-reward outcomes.
Risk avoider
Someone who prefers lower risk.
Risk tolerance
Flexibility within your risk appetite.
Risk perception
Risks are often taken based on perceived risk and opportunity.
Risk register
File of all identified risks.
Enterprise Risk Management (ERM)
Highest level of business risk management integrated with strategy, culture, and performance.
Project risk management
Managing risks for a single project.
Pure risk
Chance of loss or no loss; no chance of gain.
Speculative risk
Involves chance of gain.
Subjective risk
Perceived risk based on an entity’s opinion.
Objective risk
Measurable variation in uncertain outcomes based on facts and data.
Diversifiable risk
Risk affecting individuals or small groups/businesses.
Nondiversifiable risk
Risk affecting a large segment of society at once.
Systematic risk
Potential for major disruption in the function of a market or economic system.
Static risk
Risk always present (e.g., fire, power outage).
Dynamic risk
Risk from changing circumstances.
Morale hazard
Carelessness or indifference increasing likelihood of loss.
Physical hazard
Condition of property/person/operations increasing likelihood of a problem.
Legal hazard
Legal environment conditions increasing frequency/severity of loss.
Inherent risk
Risk if untreated.
Treatment/control plan
Proactive treatment of risk that may introduce secondary risks.
Secondary risk
Risk created by the treatment plan.
Residual risk
Remaining risk after mitigation.
Risk management activities
Cost of planning risk management.
Contingency plan
Reactive plan after the risk occurs.
Risk identification
Process of finding risks, though never all.
Brainstorming
Judgment-free idea generation.
Interviews
Gathering insight from individuals.
Historical data
Lessons learned from past events.
Risks correlated
Risks frequently impact each other.
Threat strategies
Avoid, mitigate, transfer, accept.
Opportunity strategies
Exploit, enhance, share, accept.
Risk exposure
Total risk level.
Qualitative analysis
Subjective, less accurate, used first to avoid wasted money.
Watch list
Low-priority risks left after qualitative analysis.
Risk map
Range of probability and impact scales.
Quantitative analysis
Data-based, more accurate, more costly.
Expected Monetary Value (EMV)
Total impact × probability.
Contingency reserve
Funds for identified risks only.
Management reserve
Funds for unknown risks (5–10%).
Scenario analysis
Evaluating possible future scenarios.
Value at Risk (VaR)
Maximum expected loss over a period.
Monte Carlo Simulation
Mathematical modeling of uncertainty.
Benefits of quantitative analysis
Better decisions, competitive advantage, legal compliance.
Risk equation
Risk is a function of likelihood and impact.
Common issues in quantitative analysis
Complexity, cost, unreliable data.
Traditional Risk Management (TRM)
Limited, reactive, insurance-centric, compliance-driven.
ERM and communication
Crucial because risks persist even if ignored.
ERM challenges
Resource-heavy, culture change, quantification difficulty, managerial resistance.
Probability
Favorable outcomes ÷ total outcomes.
Theoretical probability
Based on principles.
Empirical probability
Based on actual experience.
Mode
Most likely outcome.
Mean
Long-run average.
Median
Middle outcome.
Law of large numbers
Repeated trials approach expected value.
Probability distributions
Essential for describing uncertainty.
Black swan
Extremely rare catastrophic event.
Standard deviation
Measure of spread of a distribution.
Coefficient of variation
Risk per unit of return.
Normal distribution
Symmetric around the mean.
Lognormal distribution
Positive values only; right-tail for black swans.
Monte Carlo method
Random sampling and repeated iterations to estimate outcomes.
Loss severity
Amount of loss for a single event.
Maximum possible loss
Total exposure.
Maximum probable loss
Largest likely loss.
Mitigation
Reduce likelihood/impact.
Avoidance
Eliminate the activity.
Acceptance
Tolerate risk.
Opportunity toolbox
Enhance, share, exploit, accept.
Social engineering
Stealing data through deception rather than system breach.
Risk financing
Paying for losses.
Internal retention
Absorbing loss directly.
Reserves
Setting aside money.
Self-insurance
Organization-funded coverage.
Insurance
External transfer for premiums.
Risk pooling
Spreading losses across policyholders.
Contractual transfer
Shifting risk through contracts.
Risk strategy selection
Depends on probability, impact, cost, appetite, law, second-order risks.
Dynamic environment
Risks change over time; reassessment needed.
Market failure: asymmetric information
Unequal knowledge between parties.
Market failure: moral hazard
Increased risk-taking without consequences.
Market failure: adverse selection
Harm from asymmetric information.
Market failure: externalities
Unpriced side effects of decisions.
Market failure: public goods
Goods individuals consume without paying.
External risk
Side effects not initially considered (e.g., environmental harm.)