Results 61 to 70 of about 4,516,907 (258)

Unveiling multiscale spatiotemporal dynamics of volatility in high-frequency financial markets.

open access: yesPLoS ONE
This study explores the intricate dynamics of volatility within high-frequency financial markets, focusing on 225 of Chinese listed companies from 2016 to 2023.
Fangyan Ouyang   +2 more
doaj   +1 more source

Price Discovery for Cross-Listed Securities from Emerging Eastern European Countries [PDF]

open access: yes
This study provides empirical evidence verifying the theory of price discovery for Eastern European enterprises based on their cross-listing on Western European exchanges.
Wölfle, Marco
core  

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli   +13 more
wiley   +1 more source

Capitalization of internally generated intangible assets and its impact on the predictive power of accounting information [PDF]

open access: yesRevista Contabilidade & Finanças
This research aimed to examine the extent to which the capitalization of internally generated intangible assets provides a better prediction of stock returns in the Brazilian market.
Julio Henrique Machado, Fernando Galdi
doaj   +4 more sources

Cross listing and firm value - corporate governance or market segmentation? An empirical study of the stock market [PDF]

open access: yes
This study investigates the economic consequences of cross-listing on the Chinese stock market. We argue that by adopting a higher disclosure standard through cross- listing firms voluntarily commit themselves to reducing information asymmetry.
Ji, Gang
core  

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

A False Perception? The relative riskiness of AIM and listed Stocks [PDF]

open access: yes
This research examines the perception that the AIM market is riskier than the Official List market in comparable stocks. The empirical analysis uses high frequency data for January 2000 to December 2004 on 533 AIM stocks and 264 comparable Official List ...
Stephen Wells   +3 more
core  

Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV

open access: yesAdvanced Science, EarlyView.
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes   +14 more
wiley   +1 more source

Cross-Autocorrelation of Dual-Listed Stock Portfolio Returns: Evidence from the Chinese Stock Market [PDF]

open access: yes
In this paper, we apply a GARCH model to examine the cross-autocorrelation pattern between daily returns of portfolios composed of dual-listed stocks in Chinese stock market, before and after China opened its once foreign-exclusive B-share market. A lead-
Daxue Wang
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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