Intermediate term forecasting techniques for management.
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Authors
Herring, David L.
Subjects
forecasting
budgets
commodities
budgets
commodities
Advisors
Carrick, Paul F.
Date of Issue
1984-06
Date
June 1984
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Autoregressive Integrated Moving Average (ARIMA) forecasts
are made for the prices of a variety of commodities one year
into the future in an attempt to determine if improved
budget accuracy is possible for small businesses dependent
upon commodities for the production of goods or services.
An average forecast error of less than seven percent is
obtained using commonly available ARIMA computer software
employable on inexpensive microcomputers. It is concluded
small businesses can affordably obtain more accurate
commodity price budgets through the use of ARIMA forecasts.
Type
Thesis
Description
Series/Report No
Department
Administrative Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.