Results 71 to 80 of about 5,992 (265)
Accurate modelling of volatility is important as it relates to the forecasting of Value-at-Risk (VaR). The RiskMetrics model to forecast volatility is the benchmark in the financial sector.
Lumengo Bonga-Bonga, George Mutema
doaj +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Forecasting Stock Market Volatility Using CNN-BiLSTM-Attention Model with Mixed-Frequency Data
Existing stock volatility forecasting models predominantly rely on same-frequency market data while neglecting mixed-frequency integration and face particular challenges in incorporating low-frequency macroeconomic variables that exhibit temporal ...
Yufeng Zhang, Tonghui Zhang, Jingyi Hu
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The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures
This paper investigates the impact of jumps in forecasting co-volatility in the presence of leverage effects for daily crude oil and gold futures. We use a modified version of the jump-robust covariance estimator of Koike (2016), such that the estimated ...
Manabu Asai +2 more
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The Volatility Forecasting Power of Financial Network Analysis
This investigation connects two crucial economic and financial fields, financial networks, and forecasting. From the financial network’s perspective, it is possible to enhance forecasting tools, since econometrics does not incorporate into standard ...
Nicolás S. Magner +3 more
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Solvent‐Free Thermal Defect Engineering in Molecular Frameworks With Volatile Linkers
Thermal removal of neutral volatile linkers enables precise and solvent‐free generation of metal vacancies in MOFs. This strategy affords redox‐stable, coordinatively unsaturated FeII sites with tunable spin, ligand coordination, and catalytic behavior. The approach offers a general route to design defect‐functional materials through local coordination
Sonia Martínez‐Giménez +9 more
wiley +1 more source
Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
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Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
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Versatile HAR model for realized volatility: A least square model averaging perspective
A rapidly growing body of literature has documented improvements in forecasting financial return volatility measurement using various heterogeneous autoregression (HAR) type models.
Yue Qiu +3 more
doaj +1 more source
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha +10 more
wiley +1 more source

