Investment Valuation Analysis with Artificial Neural Networks

Cilt: 18 Sayı: 2 1 Temmuz 2017
  • Hüseyin İnce
  • Kadir Sayım
  • Salih Zeki İmamoğlu
  • Nihat Kasap
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Investment Valuation Analysis with Artificial Neural Networks

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. Bailey, D.L. & Thompson, D.M. (1990). Developing neural-network applications. AI Expert, 5, 34-41
  2. Brennan, M.J. & Schwartz, E.S. (1985). Evaluating Natural Resource Investments. Journal of Business, 58, 135-157
  3. Brigham E.F. & Houston, J.F. (2004). Fundamentals of financial management: 10th ed. Ohio, Thomson South-Western Publications
  4. Carlsson, C. & Fuller, R. (2003). A fuzzy approach to real option valuation. Fuzzy Sets and Systems, 139, 297-312
  5. Cecchetti, S. (1992). Prices during the great depression: Was the deflation of 1930- 1932 really unanticipated? American Economic Review. 82, 141-156
  6. Chen, A. & Leung, M.T. (2004). Regression neural network for error correction in foreign exchange forecasting and trading. Computers & Operations Research, 31, 1049–1068
  7. Dixit, A.K. & Pindyck, R.S. (1995). The Options Approach to Capital Investment. Harvard Business Review, May-June, 105-115
  8. Dominguez, K.M., Fair, R.C. & Shapiro, M.D. (1988). Forecasting the depression: Harvard versus Yale. American Economic Review, 78, 595-612

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Hüseyin İnce Bu kişi benim

Kadir Sayım Bu kişi benim

Salih Zeki İmamoğlu Bu kişi benim

Nihat Kasap Bu kişi benim

Yayımlanma Tarihi

1 Temmuz 2017

Gönderilme Tarihi

-

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 18 Sayı: 2

Kaynak Göster

APA
İnce, H., Sayım, K., İmamoğlu, S. Z., & Kasap, N. (2017). Investment Valuation Analysis with Artificial Neural Networks. Doğuş Üniversitesi Dergisi, 18(2), 85-96. https://izlik.org/JA85XM74EP
AMA
1.İnce H, Sayım K, İmamoğlu SZ, Kasap N. Investment Valuation Analysis with Artificial Neural Networks. DOUJ. 2017;18(2):85-96. https://izlik.org/JA85XM74EP
Chicago
İnce, Hüseyin, Kadir Sayım, Salih Zeki İmamoğlu, ve Nihat Kasap. 2017. “Investment Valuation Analysis with Artificial Neural Networks”. Doğuş Üniversitesi Dergisi 18 (2): 85-96. https://izlik.org/JA85XM74EP.
EndNote
İnce H, Sayım K, İmamoğlu SZ, Kasap N (01 Temmuz 2017) Investment Valuation Analysis with Artificial Neural Networks. Doğuş Üniversitesi Dergisi 18 2 85–96.
IEEE
[1]H. İnce, K. Sayım, S. Z. İmamoğlu, ve N. Kasap, “Investment Valuation Analysis with Artificial Neural Networks”, DOUJ, c. 18, sy 2, ss. 85–96, Tem. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA85XM74EP
ISNAD
İnce, Hüseyin - Sayım, Kadir - İmamoğlu, Salih Zeki - Kasap, Nihat. “Investment Valuation Analysis with Artificial Neural Networks”. Doğuş Üniversitesi Dergisi 18/2 (01 Temmuz 2017): 85-96. https://izlik.org/JA85XM74EP.
JAMA
1.İnce H, Sayım K, İmamoğlu SZ, Kasap N. Investment Valuation Analysis with Artificial Neural Networks. DOUJ. 2017;18:85–96.
MLA
İnce, Hüseyin, vd. “Investment Valuation Analysis with Artificial Neural Networks”. Doğuş Üniversitesi Dergisi, c. 18, sy 2, Temmuz 2017, ss. 85-96, https://izlik.org/JA85XM74EP.
Vancouver
1.Hüseyin İnce, Kadir Sayım, Salih Zeki İmamoğlu, Nihat Kasap. Investment Valuation Analysis with Artificial Neural Networks. DOUJ [Internet]. 01 Temmuz 2017;18(2):85-96. Erişim adresi: https://izlik.org/JA85XM74EP