Fuzzy forecasting of interest rates in investment decisions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Interest rate is one of the most used tools to determine the time value of money in investment projects. In this paper fuzzy regression analysis method is used to determine the relation among interest rate, inflation and the increases on export and import. The interest rate is formulated by using past data of interest rates, inflation, export and import sizes in Turkey. An illustrative example is given.

Original languageEnglish
Title of host publicationWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages237-242
Number of pages6
ISBN (Print)9789814417730
DOIs
Publication statusPublished - 2012
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: 26 Aug 201229 Aug 2012

Publication series

NameWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume7

Conference

Conference10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Country/TerritoryTurkey
CityIstanbul
Period26/08/1229/08/12

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