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  1. Home
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Browsing by Subject "emerging markets"

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    A review of factors affecting the attractiveness of Angola to private equity (PE) investments
    (2014) Jover, Estefania; Mlambo, Chipo
    Angola’s attractiveness to PE investors and the potential to increase PE investments in the country are explored. Primary data were collected using a survey of 18 PE funds that invest or have considered investing in Angola, followed by 10 expert interviews to gain deeper insight into the country’s institutional and economic environment, and its potential for PE investments. It is found that most PE funds are attracted to Angola by its rapid economic growth and high potential returns. The country is also vastly undersupplied, and many key economic sectors are fast developing, presenting exciting opportunities for investors. Nevertheless, PE in Angola remains limited, mainly owing to the difficulty of doing business in Angola, and owing particularly to the unfavourable regulatory environment. There is no regulation or process when it comes to the registration of PE funds in Angola, and any new regulation that applies to foreign investments is marred by unnecessary red tape, making it difficult for the investment to enter the market. Only two funds are authorised to operate in Angola: Fundo de Investimento Privado de Angola (FIPA), and BESA Activ. Streamlining regulation is critical to increasing PE flows to Angola in order to advance the country’s economic and social objectives.
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    Comparison of sovereign risk and its determinants
    (2019) Smith, Anri; Barr, Graham
    This paper aims to measure, compare and model Sovereign Risk. The risk position of South Africa compared to Emerging Markets as well as in comparison to Developed Markets is considered. Particular interest is taken in how the South African Sovereign Risk environment, and its associated determinants, differs and conforms to that of other Emerging Markets. This effectively highlights how the South African economy is similar to the Emerging Markets and where it behaves differently. Regression, optimisation techniques, dimension reduction techniques as well as Machine Learning techniques, through the use of sentiment analysis, is utilised in this research.
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