Results 91 to 100 of about 5,992 (265)
The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China. [PDF]
Resour Policy, 2021 Niu Z, Liu Y, Gao W, Zhang H.
europepmc +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Cryptocurrency volatility forecasting: What can we learn from the first wave of the COVID-19 outbreak? [PDF]
Ann Oper Res, 2021 Ftiti Z, Louhichi W, Ben Ameur H.
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic. [PDF]
Resour Policy, 2021 Weng F, Zhang H, Yang C.
europepmc +1 more source
Is Stock Price Volatility A Risk? : An Evaluation Review [PDF]
International Journal of Management, Accounting and Economics, 2019 Price volatility presents the investor possibilities and opportunities to buy securities at cheap prices and then sell it when they are overpriced, resulting in a profit at the end of the day.
Rabia Qammar, Rana Zain-Ul-Abidin
doaj
Volatility Forecasting and Volatility Risk Premium
Journal of Applied Mathematics and Physics, 2015 Volatility is an important variable in the financial market. We propose a model-free implied volatility method to measure the volatility and test the volatility risk premium. The model-free implied volatility does not depend on the option pricing model, and extracts information from all the option contracts. We provide empirical evidence from the S & P
openaire +2 more sources
Advanced Materials, EarlyView.This perspective critically evaluates non‐fluorinated diluents in local high‐concentration electrolytes, categorizing their solvation behavior, interfacial mechanisms, and sustainability potential to guide future electrolyte design for lithium metal batteries.
Yin Cui +8 more
wiley +1 more source
Advanced Materials, EarlyView.Selective methanol sensors are achieved by coating carbon nanotube chemiresistors with two dimensional conductive metal–organic frameworks that incorporate intra‐pore clusters. These confined clusters increase the density of adsorption sites while restricting the transport of larger interfering molecules, particularly ethanol. This sensing architecture
Young‐Moo Jo +4 more
wiley +1 more source
Evaluating volatility forecasts, A study in the performance of volatility forecasting methods
, 2023 In this thesis, the foundations of evaluating the performance of volatility forecasting methods are explored, and a mathematical framework is created to determine the overall forecasting performance based on observed daily returns across multiple financial instruments.
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