Results 41 to 50 of about 719,605 (249)

Modeling of Returns and Trading Volume by Regime Switching Copulas

Managerial Economics, 2013
The structure of links between realized volatility and trading volume can be reflected by regime switching copulas. The estimation by means of copula based regime switching models delivered results concerning the interdependencies between realized return
Henryk Gurgul, Artur Machno, Roland Mestel   +2 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

GARMA, HAR and Rules of Thumb for Modelling Realized Volatility

Risks, 2023
This paper features an analysis of the relative effectiveness, in terms of the Adjusted R-Square, of a variety of methods of modelling realized volatility (RV), namely the use of Gegenbauer processes in Auto-Regressive Moving Average format, GARMA, as ...
David Edmund Allen, Shelton Peiris
doaj   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Quantum reservoir computing for realized volatility forecasting

Physical Review Research
Recent advances in quantum computing have demonstrated its potential to significantly enhance the analysis and forecasting of complex classical data.
Qingyu Li, Chiranjib Mukhopadhyay, Abolfazl Bayat, Ali Habibnia   +3 more
doaj   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

Advanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller, Steffen Gabsa, Werner Homberg, Guido Grundmeier   +3 more
wiley   +1 more source

Digital Light Processing of Thermoplastic Poly(methyl methacrylate) Photoresin Combined With Solvent Vapor Smoothing

Advanced Engineering Materials, EarlyView.
A thermoplastic PMMA‐based photoresin enables high‐resolution DLP printing followed by solvent‐vapor smoothing. The treatment reduces staircase‐induced surface roughness from 2.33 µm to 129 nm and increases visible‐light transmittance from approximately 30% to 80%, providing a route toward transparent PMMA components for rapid prototyping and non ...
Rozhin Heydarpour, Yuanyuan Li, Sebastian Kluck, Afnan Quazzie‐Hauser, Bastian E. Rapp, Frederik Kotz‐Helmer   +5 more
wiley   +1 more source

Advances in forecasting realized volatility: a review of methodologies

Financial Innovation
Over the past decade, volatility modeling has gained increasing importance in quantitative finance, significantly influencing risk management, investment strategies, and policymaking.
Radmir Mishelevich Leushuis, Nicolai Petkov   +1 more
doaj   +1 more source

Influence of Particle Shape and Size in Copper‐Based Low‐Temperature Metallization Paste for Solar Cells

Advanced Engineering Materials, EarlyView.
Particle morphology controls the balance between printability and electrical connectivity in low‐temperature AgCu/Ag metallization pastes. Flake‐shaped AgCu particles form extended low‐resistance contacts, whereas spherical particles favor processability at high metal loading. Fine Ag particles further tune void filling and conductive‐network formation
O. Mhirsi, M. N. Wengenmeyr, J. Bartsch, B. E. Rapp   +3 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

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, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source