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Modeling With @Risk:A Tutorial Guide

Author

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

    (Department of Agricultural Economics, College of Agriculture, Purdue University, W. Lafayette, IN)

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

  • Josiah Ringelberg & Andrew Johnson & Michael Boehlje & Michael Gunderson & Nathan Daninger, 2017. "Modeling With @Risk:A Tutorial Guide," Working Papers 16-3, Purdue University, College of Agriculture, Department of Agricultural Economics.
    • Handle: RePEc:pae:wpaper:16-3
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    File URL: http://purl.umn.edu/249766
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    Keywords

    Excel; model; risk; business modeling; NPV analysis;
    All these keywords.

    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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