Results 51 to 60 of about 198,896 (312)

Investor Reactions to Information Disclosure: Can Providing Public Information About Firms' Pollution Improve Environmental Performance? [PDF]

open access: yes, 2005
Information disclosure has been touted as a powerful tool to effect change in environmental quality. Nascent efforts to augment federal information disclosure have begun in Georgia.
Paul J. Ferraro, Toshihiro Uchida
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

The Institutional Investor Impact on Stock Prices [PDF]

open access: yesRevista Brasileira de Gestão De Negócios, 2019
Purpose – This study aims to analyze the impact of mutual funds trading shares together for consecutive periods in the price of these shares. Design/methodology/approach – Fixed-effects panel regression analyzes were performed to identify the ...
Elaine Borges, Roy Martelanc
doaj  

ZNAČAJ I DJELOTVORNOST ŽIVOTNOG OSIGURANJA NA GOSPODARSKI RAZVOJ [PDF]

open access: yesZbornik Radova Ekonomskog Fakulteta u Istočnom Sarajevu, 2013
Insurance is a part of the major financial system of every state. Life insurance, with a primary characteristic of long-term savings, is an important product for institutional investors and important source for financing long-term investment.
Mira Pešić -Andrijić
doaj   +1 more source

ANALISIS REAKSI INVESTOR TERHADAP PENERIMAAN LAPORAN OPINI AUDIT GOING CONCERN [PDF]

open access: yes, 2015
The purpose of this research is to obtain empirical evidence on investor reaction to going concern audit reports. Investor reaction is measured by cumulative abnormal return (CAR) with the market adjusted model.
INDRIANI, Widya, RATMONO , Dwi
core   +1 more source

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

open access: yesAdvanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang   +3 more
wiley   +1 more source

Rational and Irrational Investor Sentiments and Stock Market Returns: Evidence from the Tehran Stock Exchange [PDF]

open access: yesتحقیقات مالی
ObjectiveNumerous studies have focused on developing theoretical frameworks to examine the relationship between stock returns and investor sentiment dynamics. In contrast to earlier studies, which treated investor sentiments as entirely irrational, Verma
Mohammad Nadiri, Hamid Reza Panahian
doaj   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

open access: yesAdvanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Investor Network on Climate Risk Year in Review 2015-2016 [PDF]

open access: yes, 2016
2015 was a big year for climate change and other key ESG issues. In collaboration with ourinternational partners in the Global Investor Coalition on Climate Change, we brought investor voices, leadership and commitments to the Paris climate negotiations,

core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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