Results 181 to 190 of about 583,999 (299)
Volatility Forecasting with Wavelet Neural Networks
This paper describes volatility forecasting by using wavelet neural networks. Publication is dedicated for Histrorical Variance forecasting of Equity indexes.
Pučkovs, Andrejs, Matvejevs, Andrejs
core
Advanced Science, EarlyView.Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Pairwise Markov Chains for Volatility Forecasting
The Pairwise Markov Chain (PMC) is a probabilistic graphical model extending the well-known Hidden Markov Model. This model, although highly effective for many tasks, has been scarcely utilized for continuous value prediction. This is mainly due to the issue of modeling observations inherent in generative probabilistic models.
openaire +3 more sources
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Advanced Science, EarlyView.Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source
Entropy-Driven Volatility Prediction for ETF Quantitative Investment in the Chinese Stock Market: A Machine Learning Framework for Barbell Strategy Optimization. [PDF]
Entropy (Basel)Yan K, Yue Z, He Q, Li Y.
europepmc +1 more source
Underground Signals: The Ecological Power of Root Volatiles
Advanced Science, EarlyView.Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao +31 more
wiley +1 more source
Forecasting the Volatility of Volatility with Parametric Models
, 2018 The purpose of the research is the assessment of forecasts performance of the VVIX Index, in other words the volatility of volatility index. The survey concerns the periods including the subprime crisis and the debt crisis. The intention of the author is to get to know the forecasting properties of volatility of volatility and to compare its ...
openaire +1 more source
Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects
Advanced Science, EarlyView.This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu +7 more
wiley +1 more source
Advanced Science, EarlyView.Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami +5 more
wiley +1 more source
Multi-Scale Entropy-Gated Deep Quantile Learning via EntropyFusion-VaR: Tail-Risk Forecasting for U.S. Energy-Sector Equities. [PDF]
Entropy (Basel)Osman A, Wang Y, Wang Y.
europepmc +1 more source