Some considerations on investments in irregular dynamic data spaces

J-C. Panayiotopoulos, P.M. Petrantonakis and Stamatina Hadjidema

International Journal of Multicriteria Decision Making, 2013, vol. 3, issue 1, 55-64

Abstract: Investing in new products without history is a dangerous task. The investment is even more risky in the case of irregular dynamic data space (ID2S), where data change within a given planning horizon in an unknown way. Unfortunately, today all data spaces are or tend to become ID2S. Consequently, an optimal solution based on present data is possible to become a complete disaster within our planning horizon. We will not only get a maximum profit, but we will lose and our initial budget too. The present work proposes some new considerations on investment theory based on a new multi-criteria model in order to avoid black investment holes. Also, crisis management and mutative-oriented programming is used.

Keywords: multiobjective mathematical programming; mutative oriented programming; multicriteria decision making; MCDM; uncertainty; bilevel programming; investment theory; irregular dynamic data space; risk assessment; risk modelling; crisis management; emergency management; investment decision making; investment risk. (search for similar items in EconPapers)
Date: 2013
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