Optimizing the capital rationing decision with uncertain returns
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Cites background from "Optimizing the capital rationing de..."
...Second, SACCOs in Kenya operate in a capital rationing environment (Wambua, 2017), which is defined as the placing of financial restrictions on the amount of money that can be invested in projects with positive net present value (Mai & Li, 2016; Osmundsen, Løvås, & Emhjellen, 2017)....
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"Optimizing the capital rationing de..." refers background in this paper
...Another line of research applies the stochastic programming (SP, (Birge and Louveaux 2011)) methodologies to optimize capital rationing decision under uncertainty....
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1,205 citations
"Optimizing the capital rationing de..." refers methods in this paper
...We employ a computational algorithm developed in mathematical programming, called the polyhedral branch-and-cut algorithm (Tawarmalani and Sahinidis 2005), to obtain optimal solution for the problem at hand....
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1,054 citations
"Optimizing the capital rationing de..." refers background in this paper
...Due to the non-convex form of the objective function (5), it will be difficult for typical branch-and-bound based mixed-integer nonlinear programming (MINLP) methods to work properly and prove optimality (Floudas 1995), because these methods often rely on the convexity assumption of the model....
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1,017 citations
"Optimizing the capital rationing de..." refers background in this paper
...(Miller 1992) proposed an uncertainty framework with three general types of uncertainty: general uncertainties affecting all companies (e.g., inflation, interest, exchange rate), industry-specific uncertainties impacting some specific industries (e.g., input market, output market, competitive), and…...
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