Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/25012
Título: Developing the financial balance sheet and accumulation account model for South Africa : implementing recommendation 8 of the G20 DGI-2
Autor: Beer, Barend Christoffel de
Orientador: Lima, Filipa
Albuquerque, Fábio de
Palavras-chave: Balance sheet approach
Integrated economic accounts
G20 Data Gaps
Financial balance sheet and accumulation accounts
sector accounts
Data de Defesa: 23-Out-2017
Resumo: The recent global financial crisis highlighted the significant degree of interconnection and integration of economies and identified several gaps in the existing suite of national and international financial statistics. From this realisation emerged the G20 Data Gaps Initiative (G20DGI) - a set of 20 recommendations on the enhancement of economic and financial statistics. These recommendations were developed in two phases – the first being G20DGI-1 and the second G20DGI-2, with the second set building on and replacing the first set. Recommendation 8 of G20DGI-2 identifies the development of the Balance Sheet Approach (BSA) for integrated sector accounts. In South Africa’s case, no integrated financial balance sheet and accumulation accounts (FBSAA) exist. This study presents a proposition to a complete model for the construction of the South African FBSAA model within a positivist paradigm making use of quantitative research utilising computation techniques. This is done being mindful of international requirements and guidelines pertaining to data sourcing and output, whilst also being cognisant of the South African specificities relating to time, resource and knowledge constraints. One of the main benefits of the FBSAA model is its ability to provide a holistic view of the financial dimension of the different sectors in a national economy as well as their international linkages. In addition, it also provides the basis to analyze risks and vulnerabilities in financial systems in an integrated manner.
URI: http://hdl.handle.net/10362/25012
Designação: Mestrado em Estatística e Gestão de Informação
Aparece nas colecções:NIMS - Dissertações de Mestrado em Estatística e Gestão da Informação

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