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 …
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 …
labor costs are subject to considerable fluctuations over time. These fluctuations are …
Neural network-based interval forecasting of construction material prices
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 …
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 …
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
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 …
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
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 …
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 …
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
In the construction industry, predicting business failure and providing early warnings are
critical challenges in the prevention of business failure chain reactions. Most relevant …
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 …
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 …
named as visibility graph, is developed to transform the time series into complex networks …