[1] | Kandora, A.H.A. and Hamdi, A.M.A. (2016), Modeling Exchange Rate Volatility Using Asymmetric GARCH Models (Case Study Sudan), IOSR Journal of Mathematics, 71-77. |
[2] | Haas, Markus; Krause, Jochen; Paolella, Marc S; Steude, Sven C (2013). Time-varying mixture GARCH models and asymmetric volatility, North American Journal of Economics and Finance, 26:602-623. DOI: https://doi.org/10.1016/j.najef.2013.02.024. |
[3] | Miron, D. and Tudor, C. (2010), Asymmetric Conditional Volatility Models: Empirical Estimation and Comparison of Forecasting Accuracy, Romanian Journal of Economic Forecasting, 74-93. |
[4] | Narsoo, J. (2015), Forecasting USD/MUR Exchange Rate Dynamics: An Application of Asymmetric Volatility Models, International Journal of Statistics and Applications, 247-256. |
[5] | Kutu, A.A. and Ngalawa, H. (2017), Modeling Exchange Rate Volatility and Global Shocks in South Africa, ACTA Universitatis Danubius, 13-3. |
[6] | Omari, C.O. Mwita, P.N. and Waititu, A.G.(2017), Modeling USD/KES Exchange Rate Volatility using GARCH Models, IOSR Journal of Economics and Finance, 15-26. |
[7] | Abdalla, S.Z.S. (2012), Modelling Exchange Rate Volatility using GARCH Models: Empirical Evidence from Arab Countries, International Journal of Economics and Finance, 216-229. |
[8] | Epaphra, M. (2017) Modeling Exchange Rate Volatility: Application of the GARCH and EGARCH Models. Journal of Mathematical Finance, 7, 121-143. |
[9] | Bala, D.A. and Asemota, J.O (2013), Exchange–Rates Volatility in Nigeria: Application of GARCH Models with Exogenous Break, CBN Journal of Applied Statistics, 89-116. |
[10] | David, O.R. Dikko, H.G. and Gulumbe, S.U. (2016), Modelling Volatility of the Exchange Rate of the Naira to major Currencies, CBN Journal of Applied Statistics, 159-187. |
[11] | Ntawihebasenga, J.D.D. Mwita, P.N. and, Mung’atu, J.K. (2014), Modeling the Volatility of Exchange Rates in Rwandese Markets, European Journal of Statistics and Probability, 23-33. |
[12] | Vojcic, A. (2017), Evaluation of volatility performance of GARCH models on Carnegie Strategy fund. |
[13] | Sandoval, J. (2006), Do Asymmetric Garch models fit better exchange rate volatilities on emerging markets?, 97-118. |
[14] | Clark, P. Tamirisa, N. and Shang-Jin Wei, S.J. (2004), Exchange Rate Volatility and Trade Flows - Some New Evidence, International Monetary Fund. |
[15] | Kohler, M. Manalo, J. and Perera, D. (2014), Exchange Rate Movements and Economic Activity, Bulletin: Reserve bank of Australia. |
[16] | Nguyen Khac Minh, N.K. Khanh, P.V. and Hung, N.V. (2015), Impacts of Exchange Rate Volatility and FDI on Technical Efficiency—A Case Study of Vietnamese Agricultural Sector, American Journal of Operations Research, 317-325. |
[17] | Zamir, M., Amin, A., Ullah, S. and Khan, S.U. (2017) Exchange Rate Volatility in Pakistan and Its Impact on Selected Macro Economic Variables (1980-2014). iBusiness, 9, 167-187. |
[18] | Wang, B.Q., et al. (2014) The Researches on Exchange Rate Risk of Chinese Commercial Banks Based on Copula-Garch Model. Modern Economy, 5, 541-551. http://dx.doi.org/10.4236/me.2014.55051. |
[19] | Rofael, D. and Hosni, R. (2015) Modeling Exchange Rate Dynamics in Egypt: Observed and Unobserved Volatility. Modern Economy, 6, 65-80. http://dx.doi.org/10.4236/me.2015.61006. |
[20] | Black, F. (1976), Studies of Stock Price Volatility Changes, Proceedings of the Business and Economics Section of the American Statistical Association, 177-181. |