María Nela Seijas-Giménez, Milagros Vivel-Búa, Rubén Lado-Sestayo, Sara Fernández‐López
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引用次数: 1
Abstract
ABSTRACT This paper develops a tool to predict the percentage of compliance in the repayment of microloans granted by non-profit microfinance institutions (MFI) of the Uruguayan government. The database consists of 1,357 microloans granted by the Program for the Strengthening of Productive Entrepreneurs (PFEP) of the Uruguayan Ministry of Social Development (MIDES) during the period 2012–2016. The paper uses Cox (1972) proportional risk model, employing four penalty modes: ENET, LASSO, AENET and ALASSO. The analysis shows that with a reduced set of variables that are easy for the MFI to obtain, it is possible to obtain high predictive power.
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Venture Capital publishes cutting edge research-based papers from academics and practitioners on all aspects of private equity finance such as: •institutional venture capital •informal venture capital •corporate venture capital •public sector venture capital •community venture capital It also covers all aspects of the venture capital process from investment decision to exit, including studies on: •investment patterns •investment decision-making •investment performance •realisation of investment value exit routes (including the relationship with junior capital markets such as NASDAQ, EASDAQ, AIM and Nouvelle March). •economic impact and public policy
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