Results 141 to 150 of about 4,055 (251)

Quantile‐Dependent Volatility Interconnectedness Between Commodity Markets, Oil Price Uncertainty, and Global Supply Chain Pressure

Australian Economic Papers, EarlyView.
ABSTRACT This study examines volatility interconnectedness among selected agricultural commodities and precious/industrial metals, together with oil price uncertainty and global supply chain pressure, over the period January 1998 to June 2024 using a Quantile‐on‐Quantile connectedness framework.
Muhammed Benli, Halil Altıntaş
wiley   +1 more source

Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism. [PDF]

PLoS One
Li J, Yu Z, Zhang J, Meng W.
europepmc   +1 more source

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

What Does a Mixed‐Frequency Multivariate Beveridge‐Nelson Decomposition Tell us about the Australian Output Gap?*

Economic Record, EarlyView.
Economic indicators inform the assessment of economic slack for central banks, yet traditional output gap estimates are often limited by the substantial reporting lags of quarterly GDP. This paper extends a mixed‐frequency Bayesian vector autoregressive (MF‐BVAR) framework to the Australian economy by applying a multivariate Beveridge–Nelson (BN ...
Gilliane De Gorostiza‐Roudnitski
wiley   +1 more source

Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT. [PDF]

Micromachines (Basel)
Li H, Sun F, Tian J, He X, Zhu T.
europepmc   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

Real Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

A review of decomposition methods for brain states estimation. [PDF]

Biomed Eng Online
Hu G, Wang J, Shui Z, Wang T, Wang D, Luo S, Liu H, Xie X, Nickerson LD.   +8 more
europepmc   +1 more source

Tax Payments in Loss Firms Paiements de l'impôt sur les sociétés affichant des pertes

Contemporary Accounting Research, EarlyView.
ABSTRACT In a broad sample of publicly traded firms, we observe that the share of firms annually reporting pre‐tax book losses increased from about 20% to 40% during 1988–2023. We also observe that 68% of those loss firms have positive cash tax payments (taxpaying loss firms).
Alexander Edwards, Adrian Kubata, Terry Shevlin   +2 more
wiley   +1 more source

A time series based dynamic prediction model for loess mudstone landslides. [PDF]

Sci Rep
Tang C, Dong J, Peng L, Liu X, Pan Y, Wei Z, Tang M, Yao X.   +7 more
europepmc   +1 more source

Flexible specification of directional spatial processes for eigenvector maps

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding spatial structure is crucial when analysing species distributions, biodiversity and community dynamics. Spatial analysis using eigenvector maps provides a general framework for capturing spatial patterns in ecological data. Among these methods, asymmetric eigenvector maps (AEM) are particularly useful for capturing asymmetric ...
Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji   +3 more
wiley   +1 more source