Results 51 to 60 of about 2,210,161 (360)
Energies, 2019 The joint uncertainties of wholesale price and end-user demand quantity often poses huge pricing challenges to energy retailers. However, the literature lacks analysis of such uncertainties’ impacts on retailer pricing behaviors and possible ...
Haitao Xiang +3 more
doaj +1 more source
Mathematics, 2023 We examine the daily dependence and directional predictability between the returns of crude oil and the Crude Oil Volatility Index (OVX). Unlike previous studies, we apply a battery of quantile-based techniques, namely the quantile unit root test, the ...
Bechir Raggad, Elie Bouri
doaj +1 more source
Liquid Crystal Elastomers Under Confinement: A Review of Template‐Based Fabrication and Applications
Advanced Engineering Materials, EarlyView.Template‐assisted confinement offers powerful ways to control the alignment, structure, and function of liquid crystal elastomers. This review highlights several templating strategies and details how geometry and interfaces shape material responses.
Meng Zhang +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
International Journal of Innovation Studies, 2018 This study examines whether the number of forward patent citations (along with alternative patent data)—when used as a proxy for the mixing variable—could infer the aggregate amount of economic-innovation information arriving at the New York Stock ...
Chamil W. Senarathne, Jianguo Wei
doaj +1 more source
Realized Volatility Forecasting with Neural Networks
Journal of Financial Econometrics, 2020 In the last few decades, a broad strand of literature in finance has implemented artificial neural networks as a forecasting method. The major advantage of this approach is the possibility to approximate any linear and nonlinear behaviors without ...
Andrea Bucci
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.A single‐step, low‐temperature co‐pyrolysis process removes encapsulated seed metal NPs (10–50 nm) from CNTs, redistributing them as surface‐anchored metal and metal–nitride NCs (1–1.5 nm). Herein, Ni3N NCs achieve an ultra‐low onset overpotential for CO2 reduction to CO with >98% Faradaic efficiency across 100–700 mA cm−2.
Ahmed Badreldin +15 more
wiley +1 more source
Stock Price Dynamics and Option Valuations under Volatility Feedback Effect [PDF]
, 2012 According to the volatility feedback effect, an unexpected increase in squared volatility leads to an immediate decline in the price-dividend ratio.
Kanniainen, Juho, Piché, Robert
core +2 more sources
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Approaches to forecasing option volatility
Вестник Российского экономического университета имени Г. В. Плеханова, 2018 The article investigates a new approach to the idea of volatility. In spite of the well-known assumption that option volatility in future will be exactly the same as today, the author puts forward a method, which links the change in volatility to change ...
A. V. Azatskiy
doaj +1 more source