Predicting the Direction of Gold Price Returns: Integrating Composite Artificial Neural Network Models by Markov Chain Process
Öz
Anahtar Kelimeler
Kaynakça
- 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.
- 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.
- 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.
- Mirmirani, S. & Li, H.C. (2004), Gold Price, Neural Networks and Genetic Algorithm, Computational Economics, vol. 23, iss. 2, pp. 193-200.
- 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.
- 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.
- 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.
- 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