Results 231 to 240 of about 10,202,946 (277)

Intelligent financial forecasting using transformers, neuro-symbolic AI, and agent-based systems. [PDF]

Sci Rep
Jeyajeev V, Kannan RJ, Deebalakshmi R, Rajagopal BG, Jeyakrishnan V, Abbas M, Kalathil S.   +6 more
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, Volume 45, Issue 6, Page 2905-2941, September 2026.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Examining the safe-haven and hedge capabilities of gold and cryptocurrencies: A GARCH and regression quantiles approach in geopolitical and market extremes. [PDF]

Heliyon
Ben Ameur H, Jamaani F, N Abu Alfoul M.
europepmc   +1 more source

Systemic Risk Transmission to Energy Futures: Weekend Information Gaps and the Breakdown of Pricing Efficiency

Journal of Futures Markets, Volume 46, Issue 9, Page 1719-1747, September 2026.
ABSTRACT This study examines the efficiency of systemic risk transmission to international oil futures markets by analyzing the dynamic connectedness between three distinct Common Volatility (COVOL) measures: Energy, Asset, and Country, and compares such with five major oil benchmarks.
Thomas Conlon, Shaen Corbet, Charles Larkin, Jose Antonio Muñiz   +3 more
wiley   +1 more source

An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]

Sci Rep
Ragab M.
europepmc   +1 more source

Systematic Evaluation of Reaction Phase Effects on Photocatalytic CO2 Reduction Using Cu‐Doped SrTiO3

Global Challenges, Volume 10, Issue 9, September 2026.
How much does the reaction environment matter in photocatalytic CO2 reduction? Using Cu‐doped SrTiO3 as a model catalyst, the solid–gas configuration is found to outperform liquid and pressurized systems, revealing that reaction‐phase engineering plays a decisive role in controlling efficiency and product selectivity. ABSTRACT Carbon dioxide conversion
Mohammed A. M. Bajiri, Niqab Khan, Julio Cesar Camilo Albornoz Diaz, Gabriel Natulini Vieira, Yara Jaqueline Kerber Araújo, Lucas D. Paquini, Abdo Hezam, Fabio H. B. Lima, Heberton Wender, Renato V. Gonçalves   +9 more
wiley   +1 more source

High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions. [PDF]

PLoS One
Kuang W.
europepmc   +1 more source

Heteroscedasticity effects as component to future stock market predictions using RNN-based models. [PDF]

PLoS One
Sadon AN, Ismail S, Khamis A, Tariq MU.
europepmc   +1 more source

Stock Forecasting Based on Informational Complexity Representation: A Framework of Wavelet Entropy, Multiscale Entropy, and Dual-Branch Network. [PDF]

Entropy (Basel)
Tian G, Xu C, Yang Y.
europepmc   +1 more source