Results 61 to 70 of about 35,609 (237)

STUDY OF CRYPTOCURRENCY'S MARKET EFFICIENCY POST-COVID-19 ANNOUNCEMENT [PDF]

Russian Journal of Agricultural and Socio-Economic Sciences, 2022
The announcement of the coronavirus disease (COVID-19) as a pandemic by the World Health Organization (WHO) on March 11, 2020, caused revenue decline in many companies due to the implementation of lockdown policies in various countries, which limited ...
Putri I.A.W.L., Candradewi M.R.
doaj  

The Applicability of the Efficient Market Hypothesis in Emerging Markets [PDF]

, 2021
دعاء الدفتار
openalex   +1 more source

Modulating Integrin and Growth Factor Signaling With Peptides: Strategies to Synergistically Enhance Bone Tissue Regeneration

Advanced Science, EarlyView.
It has been demonstrated that, in the bone extracellular matrix (ECM), integrins and growth factor receptors (GFRs) engage in synergistic signaling to guide bone healing and regeneration. This review provides a comprehensive overview of current strategies using ECM‐derived peptides to recreate the cellular microenvironment and harness synergistic ...
Lluís Oliver‐Cervelló, Elisabetta Ada Cavalcanti‐Adam, Carlos Mas‐Moruno   +2 more
wiley   +1 more source

Protection and Delivery of Phytochemicals from Passive Encapsulation to Guaranteed Self‐Assembly Induced by Amyloid Template for Chronic Disease Prevention via Modulating Microbial‐Host Crosstalk

Advanced Science, EarlyView.
ABSTRACT The rising incidence of chronic diseases globally has drawn widespread attention to phytochemicals, which exert targeted preventive and alleviating effect by modulating gut microbiota; thus, a potential strategy for precision nutritional interventions is offered.
Shiqi Bai, Siying Cheng, Fengguang Ma, Xiaorong Zhang, Jianan Huang, Zhonghua Liu, Bing Hu   +6 more
wiley   +1 more source

THE EFFICIENT MARKETS HYPOTHESIS

, 2012
Although something of a chameleon (Findlay and Williams, 2008), the efficient markets hypothesis (EMH) reduces to a claim that ‘you can’t beat the market’. In its weak form, it holds that past financial data are no guide to the future. In its stronger forms, it maintains that financial asset prices represent ‘fundamental value’, except to the extent ...
openaire   +3 more sources

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Market rationality after disclosure of relevant data: a Brazilian company case

RAN, 2019
The goal of the research is to analyze the stock returns of Cielo SA based upon its intraday data to capture the influence of relevant facts on the share price and trading volume, at the early hours after the disclosure.
Carlos Elder Maciel de Aquino, José Everardo Alves Pereira, José Odalio dos Santos, Alexandre Franco de Godoi, Fernando de Almeida Santos   +4 more
doaj  

Efficient Market Hypothesis and Forecasting of the Industrial Sector on the Indonesia Stock Exchange

Journal of Economics, Business & Accountancy Ventura, 2020
The presence of the stock market has helped boost economic growth in Indonesia. However, high levels of volatility plus economic uncertainty make investors need to carry out strategies in investing in the capital market.
Faizul Mubarok, Mohammad Masykur Fadhli
doaj   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source