Forecasts of Prices and Informed Sensitivity Analysis: Applications in Project Valuations
Babak Jafarizadeh ()
Additional contact information
Babak Jafarizadeh: Institute of Geo-Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom
Decision Analysis, 2022, vol. 19, issue 3, 205-219
Abstract:
From corporate budgeting to public planning, we hear that commodity prices are uncertain and that, when they vary, key investment measures sway with them. However, claiming that commodity prices are outside a firm’s domain of control, corporate decision makers tend to disregard this uncertainty or at best reflect it in naïve sensitivity analyses. Yet, firms should take in the understanding about key uncertain factors to avoid inferior decisions and loss of value. In this paper, we show that the customary practice of analysis with arbitrary “high” and “low” forecasts of prices is inconsistent with the general understanding about commodity price dynamics and the financial theory. To alleviate this, we develop consistent and project-specific forecast of prices that support valuations and decision making.
Keywords: real options; finance; decision making under uncertainty; sensitivity analysis; forecasting models; valuation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/deca.2022.0453 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ordeca:v:19:y:2022:i:3:p:205-219
Access Statistics for this article
More articles in Decision Analysis from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().