Results 211 to 220 of about 5,992 (265)
Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm. [PDF]
Tabesh H +3 more
europepmc +1 more source
Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]
Yan K +6 more
europepmc +1 more source
Entropy-Driven Adaptive Decomposition and Linear-Complexity Score Attention: An AI-Powered Framework for Crude Oil Financial Market Forecasting. [PDF]
He J, Ma C, Wang S, Zhai Y, Tang Q.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Functional volatility forecasting
Journal of Forecasting, 2023AbstractWidely used volatility forecasting methods are usually based on low‐frequency time series models. Although some of them employ high‐frequency observations, these intraday data are often summarized into low‐frequency point statistics, for example, daily realized measures, before being incorporated into a forecasting model. This paper contributes
Yingwen Tan +3 more
openaire +1 more source
THE ROLE OF IMPLIED VOLATILITY IN VOLATILITY COMBINING FORECASTS
International Journal of Economics and Business Research, 2023This study explores the role of implied volatility (IV) in volatility combining forecasts for S&P 500 and DAX markets. A range of GARCH models, ad hoc models and STES models were developed to identify the best performing model that served as a base model for subsequent combining process, of which GJRGARCH model appeared to be the superior model among ...
Ho, Jen Sim +4 more
openaire +1 more source
Statistics & Probability Letters, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thavaneswaran, A. +2 more
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thavaneswaran, A. +2 more
openaire +2 more sources

