Ghent University Academic Bibliography

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Climate change concerns and the performance of green vs. brown stocks

David Ardia, Keven Bluteau, Kris Boudt (UGent) and Koen Inghelbrecht (UGent)

(2023) MANAGEMENT SCIENCE. 69(12). p.7607-7632
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Media abnormal tone, earnings announcements, and the stock market

David Ardia, Keven Bluteau and Kris Boudt (UGent)

(2022) JOURNAL OF FINANCIAL MARKETS. 61.
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The R package sentometrics to compute, aggregate and predict with textual sentiment

David Ardia, Keven Bluteau, Samuel Borms and Kris Boudt (UGent)

(2021) JOURNAL OF STATISTICAL SOFTWARE. 99(2). p.1-40
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Climate change concerns and the performance of green versus brown stocks

David Ardia, Keven Bluteau, Kris Boudt (UGent) and Koen Inghelbrecht (UGent)

(2020) NBB Working Paper Series 395. In NBB Working Paper Series 395
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Econometrics meets sentiment : an overview of methodology and applications

Andres Algaba, David Ardia, Keven Bluteau (UGent) , Samuel Borms and Kris Boudt (UGent)

(2020) JOURNAL OF ECONOMIC SURVEYS. 34(3). p.512-547
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Questioning the news about economic growth : sparse forecasting using thousands of news-based sentiment values

David Ardia, Keven Bluteau and Kris Boudt (UGent)

(2019) INTERNATIONAL JOURNAL OF FORECASTING. 35(4). p.1370-1386
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Markov-switching GARCH models in R : the MSGARCH package

David Ardia, Keven Bluteau, Kris Boudt (UGent) , Leopoldo Catania and Denis-Alexandre Trottier

(2019) JOURNAL OF STATISTICAL SOFTWARE. 91(4).
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Forecasting risk with Markov-switching GARCH models : a large-scale performance study

David Ardia, Keven Bluteau, Kris Boudt (UGent) and Leopoldo Catania

(2018) INTERNATIONAL JOURNAL OF FORECASTING. 34(4). p.733-747

Academic Bibliography

Climate change concerns and the performance of green vs. brown stocks

Media abnormal tone, earnings announcements, and the stock market

The R package sentometrics to compute, aggregate and predict with textual sentiment

Climate change concerns and the performance of green versus brown stocks

Econometrics meets sentiment : an overview of methodology and applications

Questioning the news about economic growth : sparse forecasting using thousands of news-based sentiment values

Markov-switching GARCH models in R : the MSGARCH package

Forecasting risk with Markov-switching GARCH models : a large-scale performance study

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