Forecasting spot and future gold coin price volatility and their predictive power on each other by using ANN-GARCH model

[1] Bildirici, M., Ersin,Ö.Ö, 2009, Improving forecasts of GARCH family models with the arti cial neural networks: An application to the daily returns in Istanbul Stock Exchange, Expert Systems with Applications,36(4), 7355-7362, 
[2] Bollerslev, T., 1986, Generalized autoregressive conditional heteroscedasticity, Journal of econometrics,31(3), 307-327, 
[3] Engle, R.F., 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom in ation, Econometrica,50(4), 987-1007,
[4] Fang, L., Yu, H., Xiao, W., 2018, Forecasting gold futures market volatility using macroeconomic variables in the United States, Economic Modelling,72, 249-259,

[5] Goodarzi, M., Amiri, B., 2013, Presenting a Model for Identifying Affecting variables on the Future Price of Gold Coins by Arti cial Neural Network Method and Comparing It with Regression Models, Journal of Financial Engineering and
Portfolio Management,4(15), 17-33.
[6] Keshavarz Hadad, GH., Heirani, M., 2015, Estimation of Value at Risk in the Presence of Dependence Structure in Financial Returns: A Copula Based Approach, Journal of Economic Research,49(4), 869-902,
[7] Kirkulak-Uludag, B., Lkhamazhapov, Z., 2016, The volatility dynamics of spot and futures gold prices: Evidence from Russia, Research in International Business and Finance,38, 474-484,
[8] Kristjanpoller, W., Fadic, A., Minutolo, M., 2014, Volatility forecast using hybrid Neural Network models, Expert Systems with Applications,41(5), 24372442,
[9] Kristjanpoller, W., Minutolo, M., 2015, Gold price volatility: A forecasting approach using the Arti cial Neural NetworkGARCH model, Expert Systems with Applications,42(20), 72457251,
[10] Kroner, K. F., Kneafsey, K. P., Claessens, S., 1995, Forecasting volatility in commodity markets, Journal of Forecasting,14(2), 7795.
[11] Le, T., Chang, Y., 2012, Oil price shocks and gold returns, International Economics,131, 71-103, 
[12] Lin, F., Chen, Y., Yang, Sh., 2016, Does the value of US dollar matter with the price of oil and gold? A dynamic analysis from timefrequency space, International Review of Economics and Finance,43, 59-71, 
[13] Miyazaki, T., Hamori, SH., 2012, Testing for causality between the gold return and stock market performance: evidence for gold investment in case of emergency, Applied Financial Economics,23(1), 27-40, 
[14] Monfared, S. A., Enke, D., 2014, Volatility forecasting using a hybrid GJR-GARCH neural network model, Procedia Computer Science,36, 246253,

[15] Nicolau, M., Palomba, G., 2015, Dynamic relationships between spot and futures prices. The case of energy and gold commodities, Resources Policy,45, 130-143,
[16] Pradhana, R., Hall, J., Toit, E., 2020, The leadlag relationship between spot and futures prices: Empirical evidence from the Indian commodity market, Resources Policy, 27-40,
[17] Roh, T., 2007, Forecasting the volatility of stock price index, Expert Systems with Applications,33(4), 916922, 
[18] Saeidi, A., Alimohammadi, Sh., 2014, studying effective factors on gold coinfutures contracts price, Financial engineering and portfolio management,5(20),41-56.
[19] Saeidi, H., Mohammadi, Sh., 2011, Forecasting the volatility of Tehran Stock Exchange Index return by using hybrid model of ANN-GARCH model, Journal of Securities Exchange,4(16), 153-174.
[20] Shams, Sh., Naji Zavareh, M., 2016, Comparison Between The Hybrid Model of Genetic Fuzzy and Self - Organizing Systems and Linear Model to Predict The Price of Gold Coin Futures Contracts, Journal of Financial Research,17(2),
239-258.
[21] Truck, S., Liang, K., 2012, Modelling and forecasting volatility in the gold market, International Journal of Banking and Finance,9(1), 48-80,
[22] Tully, E., Lucey, B. M., 2007, A power GARCH examination of the gold market, Research in International Business and Finance,21(2), 316325,