Sentiment correlation in financial news networks and associated market movements

In an increasingly connected global market, news sentiment towards one company may not only indicate its own market performance, but can also be associated with a broader movement on the sentiment and performance of other companies from the same or even different sectors. In this paper, we apply NLP...

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Main Authors: Wan, X, Yang, J, Marinov, S, Calliess, J-P, Zohren, S, Dong, X
Format: Journal article
Language:English
Published: Springer Nature 2021
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author Wan, X
Yang, J
Marinov, S
Calliess, J-P
Zohren, S
Dong, X
author_facet Wan, X
Yang, J
Marinov, S
Calliess, J-P
Zohren, S
Dong, X
author_sort Wan, X
collection OXFORD
description In an increasingly connected global market, news sentiment towards one company may not only indicate its own market performance, but can also be associated with a broader movement on the sentiment and performance of other companies from the same or even different sectors. In this paper, we apply NLP techniques to understand news sentiment of 87 companies among the most reported on Reuters for a period of 7 years. We investigate the propagation of such sentiment in company networks and evaluate the associated market movements in terms of stock price and volatility. Our results suggest that, in certain sectors, strong media sentiment towards one company may indicate a significant change in media sentiment towards related companies measured as neighbours in a financial network constructed from news co-occurrence. Furthermore, there exists a weak but statistically significant association between strong media sentiment and abnormal market return as well as volatility. Such an association is more significant at the level of individual companies, but nevertheless remains visible at the level of sectors or groups of companies.
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spelling oxford-uuid:ff7a276d-2e72-4bce-be91-e07656b6191a2023-11-16T16:03:23ZSentiment correlation in financial news networks and associated market movementsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ff7a276d-2e72-4bce-be91-e07656b6191aEnglishSymplectic ElementsSpringer Nature2021Wan, XYang, JMarinov, SCalliess, J-PZohren, SDong, XIn an increasingly connected global market, news sentiment towards one company may not only indicate its own market performance, but can also be associated with a broader movement on the sentiment and performance of other companies from the same or even different sectors. In this paper, we apply NLP techniques to understand news sentiment of 87 companies among the most reported on Reuters for a period of 7 years. We investigate the propagation of such sentiment in company networks and evaluate the associated market movements in terms of stock price and volatility. Our results suggest that, in certain sectors, strong media sentiment towards one company may indicate a significant change in media sentiment towards related companies measured as neighbours in a financial network constructed from news co-occurrence. Furthermore, there exists a weak but statistically significant association between strong media sentiment and abnormal market return as well as volatility. Such an association is more significant at the level of individual companies, but nevertheless remains visible at the level of sectors or groups of companies.
spellingShingle Wan, X
Yang, J
Marinov, S
Calliess, J-P
Zohren, S
Dong, X
Sentiment correlation in financial news networks and associated market movements
title Sentiment correlation in financial news networks and associated market movements
title_full Sentiment correlation in financial news networks and associated market movements
title_fullStr Sentiment correlation in financial news networks and associated market movements
title_full_unstemmed Sentiment correlation in financial news networks and associated market movements
title_short Sentiment correlation in financial news networks and associated market movements
title_sort sentiment correlation in financial news networks and associated market movements
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AT marinovs sentimentcorrelationinfinancialnewsnetworksandassociatedmarketmovements
AT calliessjp sentimentcorrelationinfinancialnewsnetworksandassociatedmarketmovements
AT zohrens sentimentcorrelationinfinancialnewsnetworksandassociatedmarketmovements
AT dongx sentimentcorrelationinfinancialnewsnetworksandassociatedmarketmovements