Price forecasting and evaluation: An application in agriculture

Jon A. Brandt · David A. Bessler

131 citations0/0 files storedJournal of Forecasting

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Forecasting Techniques and Applications Economics of Agriculture and Food Markets Stock Market Forecasting Methods

Abstract

Abstract Because of the high volatility of prices of agricultural commodities over the past decade, the importance of accurate price forecasting for decision makers has become even more acute. This paper reviews literature on forecasting and evaluation. An application with forecasting U.S. hog prices is presented which includes both economic and statistical evaluation measures. Seven forecasting approaches are described and their performances are examined over 24 quarters from 1976 to 1981. These methods include exponential smoothing, an autoregressive integrated moving average process, an econometric model, expert judgement, and a composite forecasting approach. The application gives results which support previous findings in the forecasting literature and suggests that forecasting methods can provide valuable information to the decision maker.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 131 citations exist upstream.

References

1969The Combination of Forecasts 1969Fitting autoregressive models for prediction 1993Forecasting methods and applications 1979The robust beauty of improper linear models in decision making.2000Forecasting Economic Time Series 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 1979Forecasting: Methods and Applications.1977Forecasting Economic Time Series

Cited by

2022Coking coal futures price index forecasting with the neural network 2021Second-hand house price index forecasting with neural networks 2025Machine Learning Green Gram Price Predictions 1985A comparison of multivariate forecasting procedures for economic time series 2021Rent index forecasting through neural networks 2022Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.