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Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process

Cilt: 17 Sayı: 2 1 Aralık 2013
  • Süleyman Bilgin Kılıç
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Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process

Öz

In this study, we first modeled daily gold returns as the discrete state Markov chain process, and second we trained an Artificial Neural Network (ANN) model in order to estimate direction of gold return. The trained model provides valuable information about the direction of next day return.

Anahtar Kelimeler

Kaynakça

  1. Askari, M. & Askari, H. (2011), Time Series Grey System Prediction-based Models: Gold Price Forecasting, Trends in Applied Sciences Research, Vol. 6 Iss.11, pp1287-1292.
  2. Ismail, Z., Yahya, A. and Shabri, A. (2009), Forecasting Gold Prices Using Multiple Linear Regression Method. American Journal of Applied Sciences, Vol. 6-8, pp. 1509-1514.
  3. Kılıç, S.B. (2013), “Integrating Artificial Neural Network Models by Markov Chain Process: Forecasting the Movement Direction of Turkish Lira/US Dollar Exchange Rate Returns”, 14th International Symposium on Econometrics Operations Research and Statistic-(ISEOS), Sarajevo,Bosnia-Herzegovina.
  4. Mirmirani, S. & Li, H.C. (2004), Gold Price, Neural Networks and Genetic Algorithm, Computational Economics, vol. 23, iss. 2, pp. 193-200.
  5. Miswan, N.H., Ping, P.Y. and Ahmad, M.H (2013), On parameter estimation for malaysian gold prices modeling and forecasting, International Journal of Mathematical Analysis, 7(21-24), pp 1059-1068.
  6. Parisi, A., Parisi, F. and Díaz, D. (2008). Forecasting gold price changes: Rolling and recursive neural network models, Journal of Multinational Financial Management, Issue Vol. 18, 5, Dec., pp.477-487.
  7. Xu, G. ( 2011), China gold futures price prediction model - From the perspective of the gray prediction, 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8-10, China – Proceedings, Pages 5479-5482.
  8. Xu, L-P. & Luo, M-Zo (2011), Short-term Analysis and Prediction of Gold Price Based on ARIMA Model, Finance and Economics, Vol. 2011 Issue 1, pp 26-34.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Süleyman Bilgin Kılıç Bu kişi benim

Yayımlanma Tarihi

1 Aralık 2013

Gönderilme Tarihi

11 Ağustos 2015

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2013 Cilt: 17 Sayı: 2

Kaynak Göster

APA
Kılıç, S. B. (2013). Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(2), 15-28. https://izlik.org/JA37GE98WD
AMA
1.Kılıç SB. Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process. CÜİİBFD. 2013;17(2):15-28. https://izlik.org/JA37GE98WD
Chicago
Kılıç, Süleyman Bilgin. 2013. “Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process”. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 17 (2): 15-28. https://izlik.org/JA37GE98WD.
EndNote
Kılıç SB (01 Aralık 2013) Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 17 2 15–28.
IEEE
[1]S. B. Kılıç, “Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process”, CÜİİBFD, c. 17, sy 2, ss. 15–28, Ara. 2013, [çevrimiçi]. Erişim adresi: https://izlik.org/JA37GE98WD
ISNAD
Kılıç, Süleyman Bilgin. “Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process”. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 17/2 (01 Aralık 2013): 15-28. https://izlik.org/JA37GE98WD.
JAMA
1.Kılıç SB. Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process. CÜİİBFD. 2013;17:15–28.
MLA
Kılıç, Süleyman Bilgin. “Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process”. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, c. 17, sy 2, Aralık 2013, ss. 15-28, https://izlik.org/JA37GE98WD.
Vancouver
1.Süleyman Bilgin Kılıç. Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process. CÜİİBFD [Internet]. 01 Aralık 2013;17(2):15-28. Erişim adresi: https://izlik.org/JA37GE98WD