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Modeling With @Risk: A Tutorial Guide

Author

Listed:
  • Ringelberg, Josiah
  • Johnson, Andrew
  • Boehlje, Michael
  • Gunderson, Michael
  • Daninger, Nathan

Abstract

Excel @RISK is a helpful modeling tool used to analyze under uncertain and risky conditions. This paper aims to provide a starting resource for the use of @RISK analysis and allow readers the ability to make more productive and insightful business decisions. This paper covers the fundamentals of concepts such as simulation, measuring correlations, parent distributions, time series modeling, analysis tools and NPV analysis. This tutorial guide is intended to provide a detailed resource for the conceptual understanding and practical application of @RISK modeling.

Suggested Citation

  • Ringelberg, Josiah & Johnson, Andrew & Boehlje, Michael & Gunderson, Michael & Daninger, Nathan, 2016. "Modeling With @Risk: A Tutorial Guide," Working papers 249766, Purdue University, Department of Agricultural Economics.
    • Handle: RePEc:ags:puaewp:249766
    DOI: 10.22004/ag.econ.249766
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    Keywords

    Risk and Uncertainty; Teaching/Communication/Extension/Profession;

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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