The Relationship between Sentiment and Risk in Financial Markets

This article estimates association coefficients between measures of market sentiment and risk in the U.S., German and Chinese markets. In terms of risk, four measures were considered: standard deviation, value at risk, expected shortfall and shortfall deviation risk. For market sentiment, data was...

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Main Authors: Ana Luiza Paraboni, Marcelo Brutti Righi, Kelmara Mendes Vieira, Vinícius Girardi da Silveira
Format: Article
Language:English
Published: Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD) 2018-03-01
Series:BAR: Brazilian Administration Review
Subjects:
Online Access:http://www.scielo.br/pdf/bar/v15n1/1807-7692-bar-15-01-e170055.pdf
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spelling doaj-592913be121848ffb0b29534541c523b2020-11-24T23:25:21ZengAssociação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD)BAR: Brazilian Administration Review1807-76922018-03-01151e17005510.1590/1807-7692bar2018170055The Relationship between Sentiment and Risk in Financial MarketsAna Luiza Paraboni0Marcelo Brutti Righi1Kelmara Mendes Vieira2Vinícius Girardi da Silveira3Universidade Federal de Santa CatarinaUniversidade Federal do Rio Grande do SulUniversidade Federal de Santa MariaUniversidade Federal de Santa MariaThis article estimates association coefficients between measures of market sentiment and risk in the U.S., German and Chinese markets. In terms of risk, four measures were considered: standard deviation, value at risk, expected shortfall and shortfall deviation risk. For market sentiment, data was collected using the Psych Signal technology, which is based on the behavior of investors on social networks. The results indicate significant statistical associations, with the direction of association having financial meaning. Moreover, the empirical findings are valid for all risk measurements. The results are in keeping with the Prospect Theory, since in moments when the sentiment indicates low liquidity (a negative value for the difference between Bullish and Bearish Intensities) investors try to reduce the negotiation volume, which has a positive impact on risk. On the other hand, under the inverted scenario, when sentiment indicates high liquidity, there is an increase in the negotiation volume and a consequent decrease in risk. This article is important because its observations of market sentiment as measured by social media data show a consistent relationship with measures of financial risk.http://www.scielo.br/pdf/bar/v15n1/1807-7692-bar-15-01-e170055.pdfrisk managementmeasures of riskmarket sentimentbehavioral finance
collection DOAJ
language English
format Article
sources DOAJ
author Ana Luiza Paraboni
Marcelo Brutti Righi
Kelmara Mendes Vieira
Vinícius Girardi da Silveira
spellingShingle Ana Luiza Paraboni
Marcelo Brutti Righi
Kelmara Mendes Vieira
Vinícius Girardi da Silveira
The Relationship between Sentiment and Risk in Financial Markets
BAR: Brazilian Administration Review
risk management
measures of risk
market sentiment
behavioral finance
author_facet Ana Luiza Paraboni
Marcelo Brutti Righi
Kelmara Mendes Vieira
Vinícius Girardi da Silveira
author_sort Ana Luiza Paraboni
title The Relationship between Sentiment and Risk in Financial Markets
title_short The Relationship between Sentiment and Risk in Financial Markets
title_full The Relationship between Sentiment and Risk in Financial Markets
title_fullStr The Relationship between Sentiment and Risk in Financial Markets
title_full_unstemmed The Relationship between Sentiment and Risk in Financial Markets
title_sort relationship between sentiment and risk in financial markets
publisher Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD)
series BAR: Brazilian Administration Review
issn 1807-7692
publishDate 2018-03-01
description This article estimates association coefficients between measures of market sentiment and risk in the U.S., German and Chinese markets. In terms of risk, four measures were considered: standard deviation, value at risk, expected shortfall and shortfall deviation risk. For market sentiment, data was collected using the Psych Signal technology, which is based on the behavior of investors on social networks. The results indicate significant statistical associations, with the direction of association having financial meaning. Moreover, the empirical findings are valid for all risk measurements. The results are in keeping with the Prospect Theory, since in moments when the sentiment indicates low liquidity (a negative value for the difference between Bullish and Bearish Intensities) investors try to reduce the negotiation volume, which has a positive impact on risk. On the other hand, under the inverted scenario, when sentiment indicates high liquidity, there is an increase in the negotiation volume and a consequent decrease in risk. This article is important because its observations of market sentiment as measured by social media data show a consistent relationship with measures of financial risk.
topic risk management
measures of risk
market sentiment
behavioral finance
url http://www.scielo.br/pdf/bar/v15n1/1807-7692-bar-15-01-e170055.pdf
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