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Advances in Mathematical Programming and Financial Planning
Engleski
432 b
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This is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the integration of mathematical programming into financial planning and management. The literature and techniques in financial planning and management are becoming increasingly complex. It is hoped that the monographs aid in the dissemination of research efforts in quantitative financial analysis. The topics will normally include cash management, capital budgeting, financial decisions, portfolio management and performance analysis, and financial planning models. The analyses generally include mixed integer programming, goal programming, biased regression techniques and simulation models, application of forecasting methodologies to such areas as sales, marketing, and strategic decision making (an accurate, robust forecast is critical to effective decision making). It is the hope of the editors that the majority of the papers will simulate questions and possible solutions that are of interest to financial planners.
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