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Submitted by Maria Helena Ribeiro (helena.ribeiro@lisboa.ucp.pt) on 2021-09-29T12:49:52Z No. of bitstreams: 1 152419036_PedroNunes_DPDFA.pdf: 622272 bytes, checksum: ccb0be67f840bdf774b15d320d94bffa (MD5) Made available in DSpace on 2021-09-29T12:49:52Z (GMT). No. of bitstreams: 1 152419036_PedroNunes_DPDFA.pdf: 622272 bytes, checksum: ccb0be67f840bdf774b15d320d94bffa (MD5) Previous issue date: 2021-01-25

Submitted by Maria Helena Ribeiro (helena.ribeiro@lisboa.ucp.pt) on 2021-09-27T09:22:46Z No. of bitstreams: 1 152219001_Lopo Alvim_DPDFA.pdf: 735250 bytes, checksum: 422df329793d533e659d34d021722002 (MD5) Made available in DSpace on 2021-09-27T09:22:46Z (GMT). No. of bitstreams: 1 152219001_Lopo Alvim_DPDFA.pdf: 735250 bytes, checksum: 422df329793d533e659d34d021722002 (MD5) Previous issue date: 2021-01-29

Submitted by Isabel Gomes (itg@lisboa.ucp.pt) on 2020-01-09T08:39:19Z No. of bitstreams: 1 152417075_Margarida Quintela_DPDFA.pdf: 1447837 bytes, checksum: a45045f9221ea0d2d80987bbb5055088 (MD5) Approved for entry into archive by Isabel Gomes (itg@lisboa.ucp.pt) on 2020-01-09T08:39:30Z (GMT) No. of bitstreams: 1 152417075_Margarida Quintela_DPDFA.pdf: 1447837 bytes, checksum: a45045f9221ea0d2d80987bbb5055088 (MD5) Made available in DSpace on 2020-01-09T08:39:30Z (GMT). No. of bitstreams: 1 152417075_Margarida Quintela_DPDFA.pdf: 1447837 bytes, checksum: a45045f9221ea0d2d80987bbb5055088 (MD5) Previous issue date: 2019-10-07

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Submitted by Rita Monteiro (armonteiro@porto.ucp.pt) on 2020-04-22T17:16:04Z No. of bitstreams: 1 Diana Ribeiro Martins.pdf: 837650 bytes, checksum: ba50c10a080e95a8a148fedf70d4fc11 (MD5) Approved for entry into archive by Maria Helena Ribeiro (helena.ribeiro@lisboa.ucp.pt) on 2020-04-29T11:16:17Z (GMT) No. of bitstreams: 1 Diana Ribeiro Martins.pdf: 837650 bytes, checksum: ba50c10a080e95a8a148fedf70d4fc11 (MD5) Made available in DSpace on 2020-04-29T11:16:17Z (GMT). No. of bitstreams: 1 Diana Ribeiro Martins.pdf: 837650 bytes, checksum: ba50c10a080e95a8a148fedf70d4fc11 (MD5) Previous issue date: 2019-09-27

Submitted by Isabel Gomes (itg@lisboa.ucp.pt) on 2018-12-11T11:31:05Z No. of bitstreams: 1 152416017 Frederico Almeida W.pdf: 1997858 bytes, checksum: 66508a5e628cd97a9d2593b35def8e03 (MD5) Approved for entry into archive by Isabel Gomes (itg@lisboa.ucp.pt) on 2018-12-11T11:31:20Z (GMT) No. of bitstreams: 1 152416017 Frederico Almeida W.pdf: 1997858 bytes, checksum: 66508a5e628cd97a9d2593b35def8e03 (MD5) Made available in DSpace on 2018-12-11T11:31:20Z (GMT). No. of bitstreams: 1 152416017 Frederico Almeida W.pdf: 1997858 bytes, checksum: 66508a5e628cd97a9d2593b35def8e03 (MD5) Previous issue date: 2018-02-27

Neste estudo analisamos os fatores específicos aos bancos, à indústria e à economia, que afetam a rentabilidade de 3.046 bancos da zona Euro entre 2006 e 2015. Para o efeito, dividimos a nossa amostra entre bancos dos países periféricos e dos países centrais e incluímos um número significativo de bancos não cotados, dado representarem a maioria dos bancos na União Europeia. Os nossos resultados confirmam a relevância das provisões de crédito, das receitas não decorrentes de juros, rácio de eficiência, crescimento do total dos ativos, parcela dos depósitos, crescimento do PIB e taxas de juro, como determinantes significativas da rentabilidade dos bancos da zona Euro, quando analisados em conjunto. A este respeito, uma vez atenuado o uso da política monetária menos convencional, que promoveu a existência de taxas de juro muito baixas por longo tempo, e encontrada uma solução para o problema Europeu do crédito vencido, espera-se que os lucros dos bancos sejam impulsionados. Inversamente, quando os bancos periféricos e dos países centrais são analisados em separado, encontramos efeitos assimétricos entre os grupos. O peso das provisões de crédito é, em média, pelo menos 3 vezes superior nos bancos periféricos. Similarmente, o impacto das provisões de crédito nos níveis de rentabilidade durante o período da crise financeira entre 2008 e 2013 foi significativamente agravado nos bancos periféricos. Por fim, verificamos que a melhoria dos níveis de eficiência e uma maior concentração bancária aumentam os lucros dos bancos periféricos. Em contrapartida, o efeito positivo dos depósitos de clientes sugere que os bancos dos países centrais fazem melhor uso desta fonte de financiamento. In this paper, we analyze how bank-specific, industry-specific and macroeconomic determinants affect the profitability of 3.046 banks across 19 Euro area countries, from 2006 to 2015. We split our sample of Euro area banks into peripheral and core countries’ banks and include a significant number of unlisted banks, as they represent most banks in the European Union. Our results confirm the relevance of loan loss provisions, non-interest income share, cost-toincome ratio, total assets growth rate, deposit funding share, GDP growth and interest rates as important drivers of banks’ profitability, when all Euro area banks are analyzed together. In this respect, once eased the unconventional monetary policy measures, which stimulated a low interest rates environment for a long time, and a solution for the European non-performing loans problem is found, banks’ returns are likely to boost. Conversely, when peripheral and core countries’ banks are separately assessed, we find an asymmetric effect of some components between both groups. The loan loss provisions burden is, on average, at least 3 times larger in peripheral banks. Similarly, the impact of loan loss provisions on profitability levels during the 2008-2013 financial crisis period was significantly more severe in peripheral banks. Finally, our results suggest that the improvement of efficiency levels and higher bank concentration increase the returns of peripheral banks. In contrast, the positive effect of customer deposits suggests that core countries’ banks make better use of this source of funding.

Mestrado em Finanças Este trabalho tem como propósito analisar quais as variáveis que podem influenciar a rentabilidade dos bancos em Angola, no período compreendido entre 2010 e 2016. Para este fim, foram recolhidos dados necessários sobre os bancos em Angola no Banco Nacional de Angola (NBA), Associação Angolana de Bancos (ABANC) e Relatório de Contas dos bancos. Para verificar o efeito macroeconómico das variáveis na rentabilidade dos bancos em Angola e obter os resultados, foi utilizado o método de dado em painel no programa STATA 14. Deste modo, pode-se verificar quais as variáveis que têm impacto na rentabilidade dos bancos, confrontando os resultados inicialmente previstos com os resultados finais. Concluímos que algumas variáveis independentes tiveram resultados diferentes do que era esperado, sendo que algumas foram retiradas posteriorment do teste por não terem nenhum efeito na rentabilidade dos bancos. The purpose of this paper is to analyze which variables can influence the profitability of banks in Angola between 2010 and 2016. To achieve this purpose, it was collected necessary data of banks that operate in Angola. These data were collected from National Bank of Angola (NBA), Angolan Association of Banks (ABANC) and from annual report from banks website. To verify the macroeconomic effect of the variables on the profitability of the banks in Angola and to obtain the results, the panel data method was used in the STATA 14 program. In this way, it is possible to verify which variables have impact on the profitability of banks, comparing predicted results with the final ones. We concluded that some independent variables had different results than expected, some of which were later withdrawn because they had no effect on bank profitability. info:eu-repo/semantics/publishedVersion