Results 141 to 150 of about 294,893 (309)
Exploration, EarlyView.The role of cuproptosis in HBV‐ALF was explored via bioinformatics and liver biopsy tissues. There are some crosstalks among cuproptosis, immune infiltration, and ferroptosis (The figure was created by Bio Render). ABSTRACT Hepatitis B virus (HBV) infection poses a significant challenge to global health, particularly in developing countries such as ...
Jingwen Deng +10 more
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
Journal of Forecasting, EarlyView.ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
wiley +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
Journal of Forecasting, EarlyView.ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
Greenhouse Gases: Science and Technology, EarlyView.ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
Industry Portfolio Volatility Connections and Industry Portfolio Returns
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
Estimating Interaction Effects With Panel Data
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper analyzes how interaction effects can be consistently estimated under economically plausible assumptions in linear panel models with a fixed T$$ T $$‐dimension. We advocate for a correlated interaction term effects (CITE) estimator and show that it is consistent under conditions that are not sufficient for consistency of the ...
Chris Muris, Konstantin M. Wacker
wiley +1 more source
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Journal of Applied Econometrics, EarlyView.ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley +1 more source
Mapping Multi‐Stakeholder Engagement: A Q Methodology in a Regional Project Management Scenario
Strategic Change, EarlyView.ABSTRACT Research on project management describes the essence of projects involving multiple stakeholders, stressing the value derived from diverse work practices. However, this underestimates issues of counterproductive disagreements associated with diverse groups participating in a project.
Sheng Hu, Amon Simba
wiley +1 more source