Investor sentiment and the price of oil

M Qadan, H Nama - energy economics, 2018 - Elsevier
The literature on oil prices considers real economic factors as the main drivers of changes in
oil prices. Using parametric and nonparametric methods, this study provides evidence that …

Pipeline construction cost forecasting using multivariate time series methods

S Kim, B Abediniangerabi… - Journal of Pipeline …, 2021 - ascelibrary.org
Pipe material and labor costs constitute about 70% of pipeline construction costs. Pipe and
labor costs are subject to considerable fluctuations over time. These fluctuations are …

Neural network-based interval forecasting of construction material prices

M Mir, HMD Kabir, F Nasirzadeh, A Khosravi - Journal of Building …, 2021 - Elsevier
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …

A Survey of Data-Driven Construction Materials Price Forecasting.

Q Liu, P He, S Peng, T Wang, J Ma - Buildings (2075-5309), 2024 - search.ebscohost.com
The construction industry is heavily influenced by the volatility of material prices, which can
significantly impact project costs and budgeting accuracy. Traditional econometric methods …

Improving accuracy in predicting city-level construction cost indices by combining linear ARIMA and nonlinear ANNs

S Kim, CY Choi, M Shahandashti… - Journal of Management in …, 2022 - ascelibrary.org
Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

Neural networks model for prediction of construction material prices in Egypt using macroeconomic indicators

A Shiha, EM Dorra, K Nassar - Journal of Construction Engineering …, 2020 - ascelibrary.org
Adequate cost estimation at the planning phase is an integral part of a construction project's
success. Many uncertainties disturb the planners' initial estimations and lead to cost …

Have housing value indicators changed during COVID? Housing value prediction based on unemployment, construction spending, and housing consumer price index

X Zhang, E Yang - International Journal of Housing Markets and …, 2024 - emerald.com
Purpose Housing market research involves observing the relationships between housing
value and its indicators. However, recent literature indicates that the disruption of the COVID …

Business failure prediction of construction contractors using a LSTM RNN with accounting, construction market, and macroeconomic variables

Y Jang, I Jeong, YK Cho - Journal of management in engineering, 2020 - ascelibrary.org
In the construction industry, predicting business failure and providing early warnings are
critical challenges in the prevention of business failure chain reactions. Most relevant …

Forecasting construction material prices using vector error correction model

SAM Faghih, H Kashani - Journal of construction engineering and …, 2018 - ascelibrary.org
This paper presents a vector error correction (VEC) model for use in forecasting the short-
and long-term prices of construction materials. This model characterizes the relationship …

A fast algorithm for network forecasting time series

F Liu, Y Deng - Ieee Access, 2019 - ieeexplore.ieee.org
Time series has a wide range of applications in various fields. Recently, a new math tool,
named as visibility graph, is developed to transform the time series into complex networks …