Abiad, A. (2003). Early-Warning System: A Survey and a Regime-Switching Approach. IMF Working Paper WP/03/32.
Amir Teimoori, R., Jalaee, S. A. & Zayandeh Roodi, M. (2017). Investigating the Impact of Iran-Germany Business Cycle Synchronization on the Friction and Depth of Financial Markets in Iran (Markov Switching Bayesian VAR Method). Journal of Financial Research, 19 (3), 341- 364. (in Persian)
Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking and Finance, 34, 1886-1898.
Bilal, A. R., &Talib, N. A. (2013). How Gold Prices Correspond to Stock Index: A Comparative Analysis of Karachi Stock Exchange and Bombay Stock Exchange. World Applied Sciences Journal, 21(4), 485-491.
Creti, A., Joets, M., & Mignon, V. (2013). On the links between stock and commodity markets' volatility. Energy Economics, 37, 16-28.
De Boyrie, M. E. & Pavlova, I. (2018). Equities and Commodities Co-movements: Evidence from Emerging Markets, Global Economy Journal, 18(3), 1-14.
Farooki, M. Z., & Kaplinsky, R. (2011). The Impact of China on Global Commodities: The Disruption of the World’s Resource Sector. London: Routledge.
Filardo, A. J. (1994). Business Cycle Phases and Their Transitional Dynamics. Journal of Business and Economic Statistics, 12(3), 299-308.
Filardo, A.J., & Gorgon, S. F. (1998). Business Cycle durations. Journal of Economic, 85(1), 99-123.
Ghaderi, S., & Rostami Noroozabad, M. (2017). Financial Globalization and Stock Return: Theory and Evidence from Time Series Data. Journal of Financial Research, 18(4), 715-734. (in Persian)
Ghaderi, S., Rostami Noroozabad, M. (2016). Financial Globalization and Stock Return: Theory and Evidence from Time Series Data. Journal of Financial Research, 18(4), 715-734.
Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Non-stationary Time Series and the Business Cycle. Econometrica, 57, 357–384.
Hamilton, J. D., & Susmel, R. (1994). Autoregressive conditional heteroskedasticity and changes in regime. Journal of econometrics, 64(1-2), 307-333.
Ildırar, M., Iscan, E. (2016). The Interaction between Stock Prices and Commodity Prices: Eastern Europe and Central Asia Case. International Journal of Economics and Finance Studies, 8 (2), 94-106.
Jahangiri, K., & Hosseini Ebrahim, S.A. (2017). The effects of monetary policy, exchange rate and gold on the stock market in Iran using MS-VAR-EGARCH model. Journal of Financial Research, 19 (3), 389- 414. (in Persian)
Jena, P.K., Goyari, P. (2016). Empirical Relationship between Commodity, Stock and Bond Prices in India: A DCC Model Analysis. The IUP Journal of Applied Finance, 22(1), 37-49.
Jin, H., & Jin, L. (2010). The impact of international oil prices on Chinese stock market - an analysis based on industry data. Financial Research, 2, 173-187.
Johnson, R., & Soenen, L. (2009). Commodity Prices and Stock Market Behavior in South American Countries in the Short Run. Emerging Markets Finance and Trade, 45(4), 69–82.
Kang, W., Ratti, R. A. & Vespignani, J. (2017). Global commodity prices and global stock volatility shocks: effects across countries, Working Papers 2017-05
. University of Tasmania, Tasmanian School of Business and Economics.
Keong, M.K. (2014). Relationship between commodities market and stock markets: Evidence from Malaysia and China. (Doctoral dissertation, UTAR).
Kia, A. (2003). Forward-looking agents and macroeconomic determinants of the equity price in a small open economy, Applied Financial Economics, 13(1), 37–54.
Kilian, L. (2009). Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market. American Economic Review, 99(3), 1053-1069.
Kim, C. J., and Nelson, C. R. (1998). Business cycle turning points, a new coincident index, and tests of duration dependence based on a dynamic factor model with regime switching, Review of Economics and Statistics, 80(2), 188-201.
Kuan, C. M. (2002), Lecture on the Markov Switching Model. Working Paper. Institute of Economics, Academia Sinica.
Lombardi, M. J. and Ravazzolo, F., (2016). On the correlation between commodity and equity returns: Implications for portfolio allocation, Journal of Commodity Markets, Elsevier, 2(1), 45-57.
Naifar, N. & Dohaiman, M. S. (2013). Nonlinear Analysis among Crude Oil Prices, Stock Markets' Return and Macroeconomic Variables. International Review of Economics & Finance, 27, 416-431.
Ntantamis, C., & Zhou, J. (2015). Bull and bear markets in commodity prices and commodity stocks: Is there a relation? Resource Policy, 43, 61-81.
Olson, E., Vivian, A.J., & Wohar, M. E. (2014). The relationship between energy and equity markets: Evidence from volatility impulse response functions. Energy Economics, 43, 297-305.
Qiao, Y. (2014). Dynamic Correlation between Selected World Major Stock Markets and Commodity Markets. Master’s Thesis. University of Northern British Columbia.
Raee, R., Mohmadi, SH., Saranj, A. (2014). Tehran Stock Exchange dynamics in a Markov regime switching EGARCH-in-mean model. Journal of Financial Research, 16(1), 77-98. (in Persian)
Sajjad, R, & Taherifar R, (2016). Confidence interval Calculation & Evaluating Markov regime switching Precision for Value-at-Risk Estimation: A Case Study on Tehran Stock Exchange Index (TEDPIX). Journal of Financial Research, 18(3), 461-482. (in Persian)