Investment Valuation Analysis with Artificial Neural Networks

Volume: 18 Number: 2 July 1, 2017
  • Hüseyin İnce
  • Kadir Sayım
  • Salih Zeki İmamoğlu
  • Nihat Kasap
TR EN

Investment Valuation Analysis with Artificial Neural Networks

Abstract

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.

Keywords

References

  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

Details

Primary Language

English

Subjects

-

Journal Section

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Authors

Hüseyin İnce This is me

Kadir Sayım This is me

Salih Zeki İmamoğlu This is me

Nihat Kasap This is me

Publication Date

July 1, 2017

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2017 Volume: 18 Number: 2

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. Doğuş Üniversitesi Dergisi. 2017;18(2):85-96. https://izlik.org/JA85XM74EP
Chicago
İnce, Hüseyin, Kadir Sayım, Salih Zeki İmamoğlu, and 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 (July 1, 2017) Investment Valuation Analysis with Artificial Neural Networks. Doğuş Üniversitesi Dergisi 18 2 85–96.
IEEE
[1]H. İnce, K. Sayım, S. Z. İmamoğlu, and N. Kasap, “Investment Valuation Analysis with Artificial Neural Networks”, Doğuş Üniversitesi Dergisi, vol. 18, no. 2, pp. 85–96, July 2017, [Online]. Available: 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 (July 1, 2017): 85-96. https://izlik.org/JA85XM74EP.
JAMA
1.İnce H, Sayım K, İmamoğlu SZ, Kasap N. Investment Valuation Analysis with Artificial Neural Networks. Doğuş Üniversitesi Dergisi. 2017;18:85–96.
MLA
İnce, Hüseyin, et al. “Investment Valuation Analysis With Artificial Neural Networks”. Doğuş Üniversitesi Dergisi, vol. 18, no. 2, July 2017, pp. 85-96, https://izlik.org/JA85XM74EP.
Vancouver
1.Hüseyin İnce, Kadir Sayım, Salih Zeki İmamoğlu, Nihat Kasap. Investment Valuation Analysis with Artificial Neural Networks. Doğuş Üniversitesi Dergisi [Internet]. 2017 Jul. 1;18(2):85-96. Available from: https://izlik.org/JA85XM74EP