Results 101 to 110 of about 583,999 (299)
Advanced Materials for Biologics Delivery to Brain Tumors
Advanced Materials, EarlyView.Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng +4 more
wiley +1 more source
Forecasting volatility: does continuous time do better than discrete time? [PDF]
In this paper we compare the forecast performance of continuous and discrete-time volatility models. In discrete time, we consider more than ten GARCH-type models and an asymmetric autoregressive stochastic volatility model.
Carles Bretó, Helena Veiga
core
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.Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Stock market volatility predictability: new evidence from energy consumption
Humanities & Social Sciences CommunicationsThis research develops a group of novel indicators from the energy consumption perspective and assesses their ability to forecast stock market volatility using various techniques.
Fei Lu, Feng Ma, Elie Bouri
doaj +1 more source
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
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
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns [PDF]
In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting.
Shiyi Chen, Kiho Jeong, Wolfgang Härdle
core
Advanced Materials, EarlyView.Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa +4 more
wiley +1 more source