It is a stylized fact of formal mathematical modeling that a 'space' cannot be described by attempts at parameterization of distances or areas (under or above curves) that feasibly could occur within the space. Tools for parameterization of mathematical spaces, such as Set Theory, Connectedness, or 'Reducio Ad Absurdum' are tools of 'pure mathematics' (quali tools). By the same token, research objectives that attempt to model changes within a system require parameterization of either of distances, areas, or points for arrival at formal mathematical solutions. Tools for parameterization of distances, areas, or points, such as ODEs, PDEs, Utility Functions, or Integrands are tools of 'quantitative mathematics' (quant tools). Let 'problems of Finance' refer to 'finance research questions' that require workouts of formal theoretical models for arrival at resolution. This literature review achieves three main objectives. In no particular order, first, it demonstrates that application of quali tools to resolving of problems of Finance that can be reformulated for application of quant tools produce more rigorous model outcomes. Second, whereas quali tools are formally shown to produce workouts of problems of Finance that are more robust, there exists a severe drought of sole applications of such tools to resolving of either of General Equilibrium or game theoretic problems. Third, formal theoretical predictions and supporting evidence show models that attempt to combine quant tools and quali tools for resolving of problems of Finance inherently are non-robust. This prediction is a general equilibrium outcome, that is, is normative, is not restricted to problems of Finance. Using in addition, reviews of 12 studies that are published in top tier Finance journals, non-robustness of mixtures of quant and quali tools for resolving of problems of Finance is unequivocally validated. In presence of validation of the general equilibrium prediction, a precondition for robustness of workouts of formal theoretical models is a pre-determination as to whether problems of Finance are best worked out with sole application of quant tools, or sole application of quali tools. Using this criterion, and `inferential' transformations of this criterion, this review of the literature reveals paucity of robust workouts of problems of Finance in top tier Finance journals
