The relationship between sentiment and risk in financial markets

Detalhes bibliográficos
Autor(a) principal: Paraboni, Ana Luiza
Data de Publicação: 2018
Outros Autores: Righi, Marcelo Brutti, Vieira, Kelmara Mendes, Silveira, Vinícius Girardi da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/175000
Resumo: 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.
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spelling Paraboni, Ana LuizaRighi, Marcelo BruttiVieira, Kelmara MendesSilveira, Vinícius Girardi da2018-04-26T02:32:30Z20181807-7692http://hdl.handle.net/10183/175000001065900This 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.application/pdfengBAR. Brazilian Administration Review. Curitiba, PR. Vol. 15, n.1 (jan./mar. 2018), 15 f.Gerenciamento de riscosAvaliação de riscoFinanças comportamentaisRisk managementMeasures of riskMarket sentimentBehavioral financeThe relationship between sentiment and risk in financial marketsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001065900.pdf001065900.pdfTexto completo (inglês)application/pdf529654http://www.lume.ufrgs.br/bitstream/10183/175000/1/001065900.pdf5bdc12d1b5925865405ce0f774db31feMD51TEXT001065900.pdf.txt001065900.pdf.txtExtracted Texttext/plain38975http://www.lume.ufrgs.br/bitstream/10183/175000/2/001065900.pdf.txta879b41ca362fedbdd6245c929ffa546MD52THUMBNAIL001065900.pdf.jpg001065900.pdf.jpgGenerated Thumbnailimage/jpeg1305http://www.lume.ufrgs.br/bitstream/10183/175000/3/001065900.pdf.jpg1f4f120392420a1683352676eee1d599MD5310183/1750002018-10-22 09:27:57.473oai:www.lume.ufrgs.br:10183/175000Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-22T12:27:57Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv The relationship between sentiment and risk in financial markets
title The relationship between sentiment and risk in financial markets
spellingShingle The relationship between sentiment and risk in financial markets
Paraboni, Ana Luiza
Gerenciamento de riscos
Avaliação de risco
Finanças comportamentais
Risk management
Measures of risk
Market sentiment
Behavioral finance
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 The relationship between sentiment and risk in financial markets
author Paraboni, Ana Luiza
author_facet Paraboni, Ana Luiza
Righi, Marcelo Brutti
Vieira, Kelmara Mendes
Silveira, Vinícius Girardi da
author_role author
author2 Righi, Marcelo Brutti
Vieira, Kelmara Mendes
Silveira, Vinícius Girardi da
author2_role author
author
author
dc.contributor.author.fl_str_mv Paraboni, Ana Luiza
Righi, Marcelo Brutti
Vieira, Kelmara Mendes
Silveira, Vinícius Girardi da
dc.subject.por.fl_str_mv Gerenciamento de riscos
Avaliação de risco
Finanças comportamentais
topic Gerenciamento de riscos
Avaliação de risco
Finanças comportamentais
Risk management
Measures of risk
Market sentiment
Behavioral finance
dc.subject.eng.fl_str_mv Risk management
Measures of risk
Market sentiment
Behavioral finance
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.
publishDate 2018
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dc.relation.ispartof.pt_BR.fl_str_mv BAR. Brazilian Administration Review. Curitiba, PR. Vol. 15, n.1 (jan./mar. 2018), 15 f.
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