[1] S. Ye, J. Du, Can markov switching based hybrid models improve the performance of forecasting exchange rates?, Procedia computer science 139 (2018) 321{328.
[2] Y. Ning, L. Zhang, Modeling dynamics of short-term international capital ows in china: A markov regime switching approach, The North American Journal of Economics and Finance 44 (2018) 193{203.
[3] S. Papadamou, T. Markopoulos, Interest rate pass through in a markov-switching vector autoregression model: Evidence from greek retail bank interest rates, The Journal of Economic Asymmetries 17 (2018) 48{60.
[4] J.-T. Wu, Markov regimes switching with monetary fundamental-based exchange rate model, Asia Paci c management review 20 (2) (2015) 79{89.
[5] S. M. E. P. Azizi, A. Neisy, Mathematic modelling and optimization of bank asset and liability by using fractional goal programing approach, International Journal of Modeling and Optimization 7 (2) (2017) 85.
[6] G. C. Aye, T. Chang, R. Gupta, Is gold an in ation-hedge? evidence from an interrupted markov-switching cointegration model, Resources Policy 48 (2016) 77{84.
[7] A. H. Nafei, S. M. E. P. Azizi, R. A. Ghasempour, An approach in solving data envelopment analysis with stochastic data, in: International workshop on Mathematics and Decision Science, Springer, 2016, pp. 154{162.
[8] B. M. Lucey, F. A. O'Connor, Do bubbles occur in the gold price? an investigation of gold lease rates and markov switching models, Borsa Istanbul Review 13 (3) (2013) 53{63.
[9] S. M. E. P. M. Azizi, A. Neisy, A new approach in geometric brownian motion model, in: International workshop on Mathematics and Decision Science, Springer, 2016, pp. 336{342.
[10] H.-Y. Lee, S.-L. Chen, Why use markov-switching models in exchange rate prediction, Economic Modelling 23 (4) (2006) 662{668.
[11] R. Mohamadinejad, J. Biazar, A. Neisy, Spread option pricing using two jump diffusion interest rates, UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS 82 (1) (2020) 171{182.
[12] M. Karimnejad Esfahani, A. Neisy, S. De Marchi, An rbf approach for oil futures pricing under the jump-diffusion model, Journal of Mathematical Modeling (2020) 1{12.
[13] A. H. Nafei, W. Yuan, H. Nasseri, Group Multi-Attribute Decision Making Based on Interval Neutrosophic Sets, Vol. 28, In nite Study, 2019.
[14] A. Z. Baharumshah, S.-V. Soon, M. E. Wohar, Markov-switching analysis of exchange rate pass-through: Perspective from asian countries, International Review of Economics & Finance 51 (2017) 245{257.
[15] H. Fahmy, Regime switching in commodity prices, Ph.D. thesis, Concordia University (2011).
[16] J. D. Hamilton, Speci cation testing in markov-switching time-series models Journal of econometrics 70 (1) (1996) 127{157.
[17] P. Shahrestani, M. Rafei, The impact of oil price shocks on tehran stock exchange returns: Application of the markov switching vector autoregressive models, Resources Policy 65 (2020) 101579.
[18] J. Gonzalo, J.-Y. Pitarakis, et al., Estimation and inference in threshold typeregime switching models, Handbook of Research Methods and Applications in Empirical Macroeconomics, edited by Nigar Hashimzade and Michael A. Thornton (2013) 189{205.
[19] W. Dai, A. Serletis, On the markov switching welfare cost of in ation, Journal of Economic Dynamics and Control 108 (2019) 103748.
[20] H. Tong, Threshold models in time series analysis30 years on, Statistics and its Interface 4 (2) (2011) 107{118.
[21] D. V. Paliouras, Comparing regime-switching models in time series: Logistic mixtures vs. markov switching, Ph.D. thesis (2007).