Behavioural Present Value Defined as Fuzzy Number – a New Approach

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Abstract

The behavioural present value is defined as a fuzzy number assessed under the impact of chosen behavioural factors. The first formal model turned out to be burdened with some formal defects which are finally corrected in the presented article. In this way a new modified formal model of a behavioural present value is obtained. New model of the behavioural present value is used to explain the phenomenon of market equilibrium on the efficient financial market remaining in the state of financial imbalance. These considerations are illustrated by means of extensive numerical case study.

Barberis N., Shleifer A., Vishny R. (1998). A model of investor sentiment. Journal of Financial Economics, 49, 307–345.

Boussabaine, A.H., Elhag, T. (1999). Applying fuzzy techniques to cash flow analysis. Construction Management and Economics, 17 (6), 745–755.

Buckley, I.J. (1987). The fuzzy mathematics of finance. Fuzzy Sets and Systems, 21, 257–273.

Chiu, C.Y., Park, C.S. (1994). Fuzzy Cash Flow Analysis Using Present Worth Criterion. The Engineering Economist, 39 (2), 113–138.

Dubois, J., Prade, H. (1979). Fuzzy real algebra: some results. Fuzzy Sets and Systems, 2, 327–348.

Edwards, W. (1968). Conservatism in human information processing. In: B. Klienmutz (ed.), Formal representation of human judgment (pp. 17–52). New York: Wiley.

Fang, Y., Lai, K.K., Wang, S. (2008). Fuzzy portfolio optimization. Theory and methods. Lecture Notes in Economics and Mathematical Systems 609, Berlin: Springer.

Gutierrez, I. (1989). Fuzzy numbers and Net Present Value. Scandinavian Journal of Management, 5 (2), 149–159.

Haifeng, G., Bai, Q.S., Hamid, R.K., Yuanjing, G., Weiquan, J. (2012). Fuzzy Investment Portfolio Selection Models Based on Interval Analysis Approach. Mathematical Problems in Engineering, 2012, 15. DOI: 10.1155/2012/628295.

Huang, X. (2007). Two new models for portfolio selection with stochastic returns taking fuzzy information. European Journal of Operational Research, 180 (1), 396–405.

Kuchta, D. (2000). Fuzzy capital budgeting. Fuzzy Sets and Systems, 111, 367–385.

Lesage, C. (2001). Discounted cash-flows analysis. An interactive fuzzy arithmetic approach. European Journal of Economic and Social Systems, 15 (2), 49–68.

Piasecki, K. (2011a). Behavioural Present Value. SSRN Electronic Journal. DOI:10.2139/ssrn.1729351.

Piasecki, K. (2011b). Effectiveness of securities with fuzzy probabilistic return. Operations Research and Decisions, 21 (2), 65–78.

Piasecki, K., (2012). Basis of Financial Arithmetic from the Viewpoint of the Utility Theory. Operations Research and Decisions, 22 (3), 37–53. DOI: 10.5277/ord120303.

Piasecki, K. (2013). Intuitionistic assessment of behavioural present value. Folia Oeconomica Stetinensia, 21 (2), 49–62. DOI: 10.2478/foli-2013-0021.

Piasecki, K. (2014). On imprecise investment recommendations. Studies in Logic, Grammar and Rhetoric, 37 (50), 179–194. DOI: 10.2478/slrg-2014-0024.

Siwek, J. (2015). Financial Market Equilibrium under Financial Imbalance – A Case Study. SSRN Electronic Journal. DOI:10.2139/ssrn.2571681.

Folia Oeconomica Stetinensia

The Journal of University of Szczecin

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