Results 181 to 190 of about 135,156 (283)
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Research on the coupling mechanism between green space morphology and the urban heat island effect based on machine learning: a case study of Dali City, China. [PDF]
Peng J, Zhang S, Li X, Chen R, Huang X.
europepmc +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
The spatial dynamics of urban vegetation and housing prices: Insights from pre- and post-pandemic Chicago using OLS and MGWR models. [PDF]
Han D, Choi CG.
europepmc +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Spatial analysis of malaria incidence and environmental determinants in Hadiya Zone, Ethiopia. [PDF]
Abdo SS.
europepmc +1 more source
The current study examines the role of Fintech, wind energy, and green technology in determining environmental suitability in Germany from 2000 to 2024. The study employs time series econometric methods to estimate the QQR and QR techniques. The positive effects of wind production, FinTech, Natural Resources and green technology on environmental ...
Hind Alofaysan, Kamel Si Mohammed
wiley +1 more source
ABSTRACT In France, the Couverture Maladie Universelle Complémentaire (CMU‐C) scheme is a means‐tested, state‐financed, complementary health insurance program that fully covers healthcare. Using administrative claims data and a staggered difference‐in‐differences approach, we estimate the impact of enrollment in the program on healthcare utilization ...
Benoît Carré +2 more
wiley +1 more source
Epidemiology of alcohol use and alcohol use disorders among the population of Buea, south west region, Cameroon: A survey study. [PDF]
Kouémou NE +3 more
europepmc +1 more source

