Skip navigation
Please use this identifier to cite or link to this item: http://repositorio.unb.br/handle/10482/32512
Files in This Item:
File Description SizeFormat 
2018_WalmirGeraldodaSilva.pdf8,53 MBAdobe PDFView/Open
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorKimura, Herbert-
dc.contributor.authorSilva, Walmir Geraldo da-
dc.date.accessioned2018-08-27T22:15:13Z-
dc.date.available2018-08-27T22:15:13Z-
dc.date.issued2018-08-22-
dc.date.submitted2018-04-05-
dc.identifier.citationSILVA, Walmir Geraldo da. Essays on financial systemic risk. 2018. 161 f., il. Tese (Doutorado em Administração)—Universidade de Brasília, Brasília, 2018.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/32512-
dc.descriptionTese (doutorado)—Universidade de Brasília, Faculdade de Economia, Administração e Contabilidade e Gestão Pública, Programa de Pós-Graduação em Administração, 2018.pt_BR
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).pt_BR
dc.language.isoInglêspt_BR
dc.rightsAcesso Abertopt_BR
dc.titleEssays on financial systemic riskpt_BR
dc.typeTesept_BR
dc.subject.keywordRisco sistêmicopt_BR
dc.subject.keywordMercado financeiropt_BR
dc.subject.keywordEstabilidade financeirapt_BR
dc.rights.licenseA concessão da licença deste item refere-se ao termo de autorização impresso assinado pelo autor com as seguintes condições: Na qualidade de titular dos direitos de autor da publicação, autorizo a Universidade de Brasília e o IBICT a disponibilizar por meio dos sites www.bce.unb.br, www.ibict.br, http://hercules.vtls.com/cgi-bin/ndltd/chameleon?lng=pt&skin=ndltd sem ressarcimento dos direitos autorais, de acordo com a Lei nº 9610/98, o texto integral da obra disponibilizada, conforme permissões assinaladas, para fins de leitura, impressão e/ou download, a título de divulgação da produção científica brasileira, a partir desta data.pt_BR
dc.description.abstract1This dissertation presented to obtain the Ph.D. degree in Business Administration is composed of two articles. The first one presents an analysis of the literature on systemic financial risk. To that end, we analyze and classify 266 articles that were published no later than September 2016 in the databases Scopus and Web of Knowledge; these articles were identified using the keywords “systemic risk”, “financial stability”,“financial”, “measure”, “indicator”, and “index”. They were evaluated based on 10 categories, namely, type of study, type of approach, object of study, method, spatial scope, temporal scope, context, focus, type of data used, and results. The analysis and classification of this literature made it possible to identify the remaining gaps in the literature on systemic risk; this contributes to a future research agenda on the topic. Moreover, the most influential articles in this field of research and the articles that compose the main stream research on systemic financial risk were identified. In the second article, we model an indicator that aims to identify systemic risk in the financial markets. Using 93 assets from different classes and from both developed and emerging countries, we apply principal components analysis (PCA) to calculate an initial indicator that is then submitted to Markov switching (MS) technique. This procedure advances the use of PCA in systemic risk modelling by preventing the need for arbitrary definitions of normal and stressed regimes. Additionally, applying MS to the indicator extracted by PCA from the correlation matrix of a relevant number of assets of various classes supports the argument that the indicator is indeed systemic. The results show that the probabilities that the indicator is under stress, according to the MS model, can be used as a signal of systemic risk. We also verified that the average risk of assets, calculated by the average value-at-risk (VaR), is affected when the series of these assets are separated in the systemic risk and normal regimes. In addition, we measure the performance of the indicator compared to other metrics built with only an asset class, especially stock indices. The results show that our model adequately depicts periods of high systemic risk, being relatively thorough.pt_BR
Appears in Collections:Teses, dissertações e produtos pós-doutorado

Show simple item record " class="statisticsLink btn btn-primary" href="/jspui/handle/10482/32512/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.