MODELING WITH @RISK:A TUTORIAL GUIDE

Josiah Ringelberg (), Andrew Johnson (), Michael Boehlje (), Michael Gunderson and Nathan Daninger ()
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Nathan Daninger: Department of Agricultural Economics, College of Agriculture, Purdue University, W. Lafayette, IN

No 16-3, Working Papers from Purdue University, College of Agriculture, Department of Agricultural Economics

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.

Keywords: Excel; model; risk; business modeling; NPV analysis (search for similar items in EconPapers)
JEL-codes: C61 E37 M21 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2017
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http://purl.umn.edu/249766

Related works:
Working Paper: MODELING WITH @RISK: A TUTORIAL GUIDE (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pae:wpaper:16-3

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