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ESG Ratings and Annual Stock Returns: Industry Sector Heterogeneity in Chinese Market
Advances in Economics, Management and Political SciencesIn recent years, Environmental, Social, and Governance (ESG) factors have played an increasingly important role in how companies are evaluated and how investment decisions are made. While much of the existing research has focused on developed markets and broad, market-level data, this study looks more closely at industry differences within China’s A ...
Tian Qiu, Zihan Gao, Zehao Lou, Jesse Ng
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2016
This paper aims to extract both sentiment and bag-of-words information from the annual reports of U.S. banks. The sentiment analysis is based on two commonly used finance-specific dictionaries, while the bag-of-words are selected according to their tf-idf.
Petr Hájek 0002, Jana Bohácová
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This paper aims to extract both sentiment and bag-of-words information from the annual reports of U.S. banks. The sentiment analysis is based on two commonly used finance-specific dictionaries, while the bag-of-words are selected according to their tf-idf.
Petr Hájek 0002, Jana Bohácová
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SSRN Electronic Journal, 2014
We provide evidence that an option implied volatility-based measure predicts future absolute excess returns of the underlying stock around earnings announcements and annual meetings of shareholders, even after controlling for the realized stock return volatility shortly before these information events, and the volatility of excess stock returns around ...
Suresh Govindaraj +3 more
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We provide evidence that an option implied volatility-based measure predicts future absolute excess returns of the underlying stock around earnings announcements and annual meetings of shareholders, even after controlling for the realized stock return volatility shortly before these information events, and the volatility of excess stock returns around ...
Suresh Govindaraj +3 more
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Forecasting annual excess stock returns via an adaptive network‐based fuzzy inference system
Intelligent Systems in Accounting, Finance and Management, 2005AbstractIn this study, an adaptive network‐based fuzzy inference system (ANFIS) and a neural network were tested for the ability of these techniques to forecast the annual excess returns of three large publicly traded companies from a time series of said returns.
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Interpreting Common Stock Returns around Proxy Statement Disclosures and Annual Shareholder Meetings
The Journal of Financial and Quantitative Analysis, 1986Numerous studies have analyzed the stock market reaction to information released in proxy statements. Two possible biases in proxy statement research are suggested frequently: misspecification of the return benchmark and a sample selection bias from analyzing only “clean” events.
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DETERMINANTS OF ANNUAL STOCK MARKET RETURN
Financial Review, 1979W. Scott Bauman, Constance H. McLaren
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Predicting annual returns of individual stocks on the Baltic Stock Exchange
The objective of this master’s thesis is to investigate possibilities of deploying statistical models in predicting annual returns of stocks on the Baltic Stock Exchange. Both, theoretical and practical aspects of linear regression, fixed effects, random effects, mixed effects and auto regressive model, are illustrated.openaire +1 more source
Stock Return and the COVID-19 pandemic: Evidence from Canada and the US
Finance Research Letters, 2021Libo Xu
exaly
Predicting stock return volatility using sentiment analysis of corporate annual reports
2021Petr Hajek +2 more
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The Relationship In Time Between Annual Accounting Returns and Annual Stock Market Returns In the Uk
Journal of Business Finance & Accounting, 1991openaire +1 more source

