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UNIVERSITY OF LJUBLJANA SCHOOL OF ECONOMICS AND BUSINESSMASTERS THESIS SENSITIVITY ANALYSIS ON DEFINED BENEFIT OBLIGATION UNDER IAS 19 IN SWITZERLANDLjubljana, September 2019MIRJAM PERGARAUTHORSHIP
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01
Identify the variables that may impact the outcome of the analysis.
02
Determine the range or values of each variable that will be tested.
03
Choose the appropriate method for analyzing the sensitivity of each variable, such as Tornado diagrams or Monte Carlo simulations.
04
Conduct the sensitivity analysis by vary each variable within the chosen range and observing the impact on the outcome.
05
Analyze the results and draw conclusions based on the sensitivity of each variable.

Who needs a sensitivity analysis on?

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Businesses looking to assess the impact of uncertainty on their financial projections.
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Investors wanting to understand the risks associated with a particular investment.
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Policy makers aiming to evaluate the potential outcomes of different scenarios.
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A sensitivity analysis is a method used to determine how the variation in the output of a model can be attributed to different sources of uncertainty in its inputs.
Companies or individuals who want to assess the impact of different variables on a certain outcome are required to conduct a sensitivity analysis.
To fill out a sensitivity analysis, one must first identify the input variables, define the range of values for each variable, run the model multiple times with different combinations of input values, and analyze the results.
The purpose of a sensitivity analysis is to understand how changes in input variables may impact the output of a model or decision-making process.
A sensitivity analysis should include the input variables, their range of values, the model used, the results obtained, and the interpretation of those results.
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