Record Details

Investment Valuation Analysis with Artificial Neural Networks

Doğuş University Journal

View Archive Info
 
 
Field Value
 
Title Investment Valuation Analysis with Artificial Neural Networks
 
Creator İNCE, Hüseyin
SAYIM, Kadir
İMAMOĞLU, Salih Zeki
KASAP, Nihat
 
Subject —
Artificial neural networks, Investment valuation, Forecasting, Inflation rate forecast, Exchange rate forecast, Discounted cash flow
C53, E47, G32
 
Description This paper shows that discounted cash flow and net present value, which are traditional investment valuation models, can be combined with artificial neural network model forecasting. The main inputs for the valuation models, such as revenue, costs, capital expenditure, and their growth rates, are heavily related to sector dynamics and macroeconomics. The growth rates of those inputs are related to inflation and exchange rates. Therefore, predicting inflation and exchange rates is a critical issue for the valuation output. In this paper, the Turkish economy’s inflation rate and the exchange rate of USD/TRY are forecast by artificial neural networks and implemented to the discounted cash flow model. Finally, the results are benchmarked with conventional practices.
 
Publisher Doğuş Üniversitesi
 
Contributor —
 
Date 2017-10-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://journal.dogus.edu.tr/index.php/duj/article/view/1102
 
Source Doğuş University Journal; Cilt 18, Sayı 2 (2017): Temmuz; 85-96
Doğuş Üniversitesi Dergisi; Cilt 18, Sayı 2 (2017): Temmuz; 85-96
1308-6979
1302-6739
 
Language eng
 
Relation http://journal.dogus.edu.tr/index.php/duj/article/view/1102/pdf
http://journal.dogus.edu.tr/index.php/duj/article/downloadSuppFile/1102/488
 
Rights Telif Hakkı (c) 2017 Doğuş Üniversitesi Dergisi