Risk Analysis and Management

5.

Risk Analysis and Assessment

5.1.

Qualitative Risk Analysis

5.1.1.

Purpose and Applications

5.1.2.

Probability Assessment

5.1.2.1.

Probability Scales

5.1.2.2.

Probability Estimation Techniques

5.1.2.3.

Expert Judgment Methods

5.1.3.

Impact Assessment

5.1.3.1.

Impact Categories

5.1.3.2.

5.1.3.3.

Multi-Dimensional Impact

5.1.4.

Risk Evaluation Methods

5.1.4.1.

Probability-Impact Matrix

5.1.4.2.

Risk Scoring Systems

5.1.4.3.

5.1.5.

Risk Prioritization

5.1.5.1.

Ranking Methods

5.1.5.2.

Filtering Techniques

5.1.5.3.

Resource Allocation Considerations

5.2.

Quantitative Risk Analysis

5.2.1.

Data Requirements

5.2.1.1.

Data Collection Methods

5.2.1.2.

Data Quality Assessment

5.2.1.3.

Data Validation Techniques

5.2.2.

Probability Distributions

5.2.2.1.

Normal Distribution

5.2.2.2.

Triangular Distribution

5.2.2.3.

Beta Distribution

5.2.2.4.

Uniform Distribution

5.2.2.5.

Discrete Distributions

5.2.3.

Risk Modeling Techniques

5.2.3.1.

Monte Carlo Simulation

5.2.3.1.1.

Model Development

5.2.3.1.2.

Input Parameter Definition

5.2.3.1.3.

Simulation Execution

5.2.3.1.4.

Results Interpretation

5.2.3.2.

Sensitivity Analysis

5.2.3.2.1.

One-Way Sensitivity

5.2.3.2.2.

Multi-Way Sensitivity

5.2.3.2.3.

Tornado Diagrams

5.2.3.3.

Decision Tree Analysis

5.2.3.3.1.

Tree Construction

5.2.3.3.2.

Probability Assignment

5.2.3.3.3.

Expected Value Calculation

5.2.4.

Financial Risk Metrics

5.2.4.1.

Expected Monetary Value

5.2.4.2.

5.2.4.3.

Conditional Value at Risk

5.2.4.4.

Risk-Adjusted Return Measures

5.2.5.

Advanced Analytical Methods

5.2.5.1.

5.2.5.2.

Scenario Analysis

5.2.5.3.

5.2.5.4.

Model Validation

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6. Risk Evaluation and Prioritization