Abstract

In general, the present value (PV) concept is ambiguous. Therefore, behavioural factors may influence on the PV evaluation. The main aim of our paper is to propose some method of soft computing PV evaluated under the impact of behavioural factors. The starting point for our discussion is the notion of the Behavioural PV (BPV) defined as an imprecisely real-valued function of distinguished variables which can be evaluated using objective financial knowledge or subjective behavioural premises. In our paper, a BPV is supplemented with a forecast of the asset price closest to changes. Such BPV is called the oriented BPV (O-BPV). We propose to evaluate an O-BPV by oriented fuzzy numbers which are more useful for portfolio analysis than fuzzy numbers. This fact determines the significance of the research described in this article. O-BPV may be applied as input signal for systems supporting invest-making. We consider here six cases of O-BPV: overvalued asset with the prediction of a rise in its price, overvalued asset with the prediction of a fall in its price, undervalued asset with the prediction of a rise in its price, undervalued asset with the prediction of a fall in its price, fully valued asset with the prediction of a rise in its rice and fully valued asset with the prediction of a fall in its rice. All our considerations are illustrated by numerical examples. Presented examples show the way in which we transform superposition of objective market knowledge and subjective investment opinion into simple return rate.

Highlights

  • Using (28–30) we evaluate an asset Y by F-behavioural PV (BPV) equal to fuzzy number (FN)

  • We have considered its F-BPV represented by FN (46)

  • If oriented BPV (O-BPV) describes a subjective belief about rise in quotations, we can anticipate a decline in the expected return rate

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Ward’s definition to the case of future cash flow described by a fuzzy variable. Calzi [12] has formulated an axiomatic definition of fuzzy PV All those authors depicted PV as a discount of an imprecisely evaluated future cash flow. These difficulties arise from the fact that the sum of the FNs may, not be an ordered For this reason, in this paper we present a revised approach to O-BPV. We intend to apply O-BPV for management of portfolio risk of imprecision determined by some behavioural factors Such possibilities of future applications determine the significance of the studies described in this work.

Behavioural Essence of Present Value
Oriented Fuzzy Numbers—Basic Facts
Oriented Fuzzy Present Value
Behavioural Present Value
Interval Representation of Behavioural Present Value
Fuzzy Representation of Behavioural Present Value v
In Present
Oriented Expected Return Determined by Behavioural Present Value
10. Conclusions
Objective
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