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Sensitivity Analysis and Quantitative Risk Assessment Transport Economics MSc Questions Overal goal A risk assessment must be included in the CBA. Result Home assignment Economic analysis chapter Step by step guide Calculate the result of the following Investment cost /-10 Base transport volume /-10 Show the following in base case 10 -10 ENPV EIRR BCR K sz n m a figyelmet M trai Tam s doktorandusz BME K zleked s zemi s K zleked sgazdas gi Tansz k 36-20-260-6171 tamas. Obviously if the...
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How to fill out sensitivity analysis and

01
Start by identifying the variables that have an impact on the outcome of the analysis.
02
Assign a range or set of values to each of the identified variables.
03
Determine the desired level of sensitivity for each variable.
04
Perform calculations using different values for each variable to observe the impact on the outcome.
05
Analyze the results and identify the variables that have the most significant impact.
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Document the findings and use them to make informed decisions or recommendations.

Who needs sensitivity analysis and?

01
Financial analysts who want to assess the impact of different scenarios on financial projections.
02
Companies or organizations that are considering a major investment or strategic decision.
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Risk managers who want to evaluate the potential impact of various risks on their organization.
04
Project managers who want to analyze the sensitivity of project variables to optimize project outcomes.
05
Investors who want to evaluate the risk and return trade-offs of different investment options.
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Sensitivity analysis is a technique used to determine how changes in the value of an input variable affect the output of a model or calculation.
Companies or organizations conducting risk assessments or financial analysis are typically required to file sensitivity analysis.
Sensitivity analysis is typically filled out by identifying key input variables, determining the range of values for these variables, and analyzing the impact on the output.
The purpose of sensitivity analysis is to understand how changes in key variables can affect the overall results and decision-making process.
Sensitivity analysis should report the input variables, their ranges, the impact on the output, and any assumptions made during the analysis.
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