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IPCC
The Task Group on Data Support for Climate Change Assessments aims to provide guidance to the IPCC’s Data Distribution Centre on curation, traceability, stability, availability and transparency of data and scenarios related ...
CCM
The CRSP/Compustat Merged Database provides CRSP and Compustat subscribers the ability to access CRSP’s stock data and Compustat’s Xpressfeed fundamental data within a single linked database. The CRSPLink® maps complex ...
SCF
The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families’ balance sheets, pensions, income, and demographic characteristics. ...
KLEMS
EU KLEMS project aims to create a database on measures of economic growth, productivity, employment creation, capital formation and technological change at the industry level for all European Union member states from 1970 onwards.
BEDOFIH
The BEDOFIH database includes trades and orders with the highest frequency. BEDOFIH covers the most important European stock markets.
BDRC
The Business Dynamics Research Consortium is a public-private, nonprofit, nonpartisan research institute devoted to the study of business performance and economic growth. Operated as a research consortium at the University ...
US Census
The Census Bureau's mission is to serve as the nation’s leading provider of quality data about its people and economy. Our goal is to provide the best mix of timeliness, relevancy, quality and cost for the data we collect ...
The salience of ESG ratings for stock pricing: Evidence from (potentially) confused investors
(2021-10-08)
We exploit a modification to Sustainalytics' environmental, social, and governance (ESG) rating methodology, which is subsequently adopted by Morningstar, to study whether ESG ratings are salient for stock pricing. We show ...
Impact of public news sentiment on stock market index return and volatility
(2021-10-11)
Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables ...
Expl(AI)ned: The impact of explainable artificial intelligence on cognitive processes
(2021-06-25)
This paper explores the interplay of feature-based explainable AI (XAI) techniques, information processing, and human beliefs. Using a novel experimental protocol, we study the impact of providing users with explanations ...