Results 231 to 240 of about 82,036 (306)

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

Introducing a win-win strategy for both rice yield and sheath blight resistance. [PDF]

J Integr Plant Biol
Guo W, Qian Q, Zheng X.
europepmc   +1 more source

Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin, Francisco Javier Blanco‐Encomienda   +1 more
wiley   +1 more source

Impact of domestic and foreign investors on ESG disclosure quality in Chinese listed firms: Divergence or convergence? [PDF]

PLoS One
Yin W, Su Y, Kirkulak-Uludag B, Yan A, Wang R.   +4 more
europepmc   +1 more source

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

Journal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley   +1 more source

Ten Recommendations for US Programs Hosting Global Health Partners. [PDF]

Ann Glob Health
Crawford AM, Arteaga M, Rubio R, Nyirigira G, Bendjemil S, Hudspeth JC, Rabin TL.   +6 more
europepmc   +1 more source

The Impact of Derivative Use on Default Probability Among Nonfinancial Firms: Evidence From European Firms

Journal of Futures Markets, EarlyView.
ABSTRACT This paper examines how institutional environments shape the effectiveness of derivative hedging in reducing corporate default risk. Using hand‐collected data from non‐financial firms across nine European countries and various econometric methods to control for endogeneity, we provide novel evidence that the risk‐reducing benefits of ...
Amrit Judge, Khai Le, Kim Ly
wiley   +1 more source