Evaluating a seasonal autoregressive moving average model with an exogenous variable for short-term timber price forecasting-Reference-Cited by-同舟云学术

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Evaluating a seasonal autoregressive moving average model with an exogenous variable for short-term timber price forecasting

Published:2021-10 Issue: Volume:131 Page:102564
ISSN:1389-9341
Container-title:Forest Policy and Economics
language:en
Short-container-title:Forest Policy and Economics

Author:

Banaś Jan,Utnik-Banaś Katarzyna

Funder

Ministerstwo Edukacji i Nauki

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science,Forestry

Reference42 articles.

1. US–Canada softwood lumber trade measuring the market and;Baek;For. Sci.,2006

2. Projecting pulpwood prices under different assumptions on future capacities in the pulp and paper industry;Bolkesjø;Silva Fennica,2005

3. Time Series Analysis. Forecasting and Control;Box,1976

4. The impact of timber-sale tract, policy, and administrative characteristics on state stumpage prices: an econometric analysis;Brown;Forest Policy Econ.,2012

5. Global modelling to predict timber production and prices: the GFPM approach;Buongiorno;Forestry,2015

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1. Intervention analysis of COVID-19 pandemic impact on timber price in selected markets;Forest Policy and Economics;2024-02

2. Forecasting pine sawtimber stumpage prices: A comparison between a time series hybrid model and an artificial neural network;Forest Policy and Economics;2023-09

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4. Valuing Forestry Agronomic Potential under Seasonal Mean-Reverting Prices;Forests;2023-06-27

5. Md-Pred: A Multidimensional Hybrid Prediction Model Based on Machine Learning for Hotel Booking Cancellation Prediction;International Journal of Pattern Recognition and Artificial Intelligence;2023-03-29

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