A comparison of artificial neural network and time series models for timber price forecasting

A Kożuch, D Cywicka, K Adamowicz - Forests, 2023‏ - mdpi.com
The majority of the existing studies on timber price forecasting are based on ARIMA/SARIMA
autoregressive moving average models, while vector autoregressive (VAR) and exponential …

A review of the financial performance of lumber futures and some prospects

N Zhang, B Mei, Y Li - Forest Policy and Economics, 2023‏ - Elsevier
We aim to examine the financial performance of lumber futures by conducting a systematic
review in the field. It begins with a historical overview of the evolution of lumber futures in the …

Prediction of leather footwear export using learning algorithms based on ANN model

SN Vasagam, B Ravikumar, R Kavibharathi… - Expert Systems with …, 2024‏ - Elsevier
Leather footwear export plays a crucial role in the Indian economy as India is the second
largest footwear producer in the world. As a commodity, it is unavoidable to emphasize its …

Forecasting pine sawtimber stumpage prices: A comparison between a time series hybrid model and an artificial neural network

S Lamichhane, B Mei, J Siry - Forest Policy and Economics, 2023‏ - Elsevier
We conducted a comparative analysis of the predictive ability of classical econometric
models and artificial neural networks (ANNs) for pine sawtimber stumpage prices across 22 …

A Dynamic Prediction Neural Network Model of Cross‐Border e‐Commerce Sales for Virtual Community Knowledge Sharing

L Tian, X Wang - Computational Intelligence and Neuroscience, 2022‏ - Wiley Online Library
In this paper, a neural network algorithm is used to conduct in‐depth research and analysis
on the sales dynamics prediction of virtual community knowledge sharing in cross‐border e …

[HTML][HTML] Using google search patterns to explain the demand for wild edible mushrooms

L Diaz-Balteiro, O Alfranca, R Voces… - Forest Policy and …, 2023‏ - Elsevier
The demand for quality wild fungi has been continually increasing over the past few years.
However, problems arise when modelling this demand, owing to the difficulty of finding …

Price volatility modeling for the lumber futures market: a generalized autoregressive conditional heteroskedasticity-mixed data sampling approach

P Deb, NP Assogba, W Li - Forest Science, 2023‏ - academic.oup.com
Lumber is one of the most essential forest products in the United States. During the first year
of the COVID-19 pandemic, lumber prices almost quadrupled, and fluctuations reached …

[PDF][PDF] What drives the change in employment in the US logging industry? A directed acyclic graph approach

M He, W Li, M Smidt, Y Zhang - Forest Products Journal, 2022‏ - meridian.allenpress.com
Employment in the US logging industry has been declining over the past few decades and
fell to a 20-year low following the 2008 economic recession. This study investigates the …

Long-and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence

H **a, X Hou, JZ Zhang - Big Data, 2024‏ - liebertpub.com
Market uncertainty greatly interferes with the decisions and plans of market participants, thus
increasing the risk of decision-making, leading to compromised interests of decision-makers …

Prediction of leather footwear export using learning algorithms based on ANN model

S Nithiyanantha Vasagam, B Ravikumar… - 2024‏ - dl.acm.org
Leather footwear export plays a crucial role in the Indian economy as India is the second
largest footwear producer in the world. As a commodity, it is unavoidable to emphasize its …