Adekoya, O. B., & Oliyide, J. A. (2020). The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets. Resources Policy, 69, Article 101831.

Ahmadian-Yazdi, F., Roudari, S., Omidi, V., Mensi, W., & Al-Yahyaee, K. H. (2024). Contagion effect between fuel fossil energies and agricultural commodity markets and portfolio management implications. International Review of Economics & Finance, 95, 103492.

Ahmed, A, Huo, R. (2021). Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China, Energy Economics, 93,1-14.

Alshater, M. M., Alqaralleh, H., & El Khoury, R. (2023). Dynamic asymmetric connectedness in technological sectors. The Journal of Economic Asymmetries, 27, 1-15.

Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84.

Argha, L., Mowlaei, M., & Khezri, M. (2020). Investigating Impact of the Selected Domestic and Foreign Assets Returns on Stock Price Index Returns in Iran: An Approach from DCC-FIAPARCH Model. Quarterly Journal of Applied Theories of Economics, 6(4), 251-274. doi: 10.22075/jae.2020.27467.1258.  [in persian]

Aroury, M.E.H. Lahiani, A. &khuong Nguyan D. (2015). World gold prices and stock returns in China: Insights for hedging and diversification strategies. Economic Modeling, 44, 273-282.

Ashena, M., & La’l khezri, H. (2020). The dynamic correlation of global economic policy uncertainty index with stock, exchange rate and gold markets in Iran: Application of M-GARRCH and DCC approach. Journal of Econometric Modelling, 5(2), 147-172 doi: 10.22075/jem.2020.20667.1480. [ in persian]

Cao, G., & Xie, W. (2022). Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach. Finance Research Letters, 49, 103070.

Cheng, S., Deng, M., Liang, R., & Cao, Y. (2023). Asymmetric volatility spillover among global oil, gold, and Chinese sectors in the presence of major emergencies. Resources Policy, 82, 103579.

Dadmehr, M., Rahnama Roodposhti, F., Nikoumaram, H., & Fallah Shams, M. F. (2021). Investigating the Effects of Contagion Between Monetary and Financial Markets of Iran. Journal of Economics and Modelling, 12(2), 123-166. doi: 10.29252/jem.2021.224004.1665. [in persian]

Dutta, A. (2018). Impacts of oil volatility shocks on metal markets: A research note. Resources Policy, 55, 9-19.

Fan, Z. (2024). The risk spillover relationship between major agricultural commodities in China and the US. In Proceedings of the 4th International Conference on Economic Development and Business Culture (ICEDBC 2024) (pp. 221-233). Atlantis Press. https://doi.org/10.2991/978-94-6463-538-6_25

Gkillas, K., Vortelinos, D. I., & Suleman, T. (2018). Asymmetries in the African financial markets. Journal of Multinational Financial Management, 45, 72-87.

Golarzi, G., Khorasani, M. (2023).  Investigating Symmetrical and Asymmetrical Effects of Exchange Rate and Its Fluctuations on the Return of the Pharmaceutical Industry Stock Using Linear and Nonlinear ARDL Models, Iranian Journal of Economic Research, 28(96), 253-300. [in persian]

Gong, X., & Xu, J. (2022). Geopolitical risk and dynamic connectedness between commodity markets. Energy Economics, 110, Article 106028.

Gong, X., & Lin, B. (2021). Effects of structural changes on the prediction of downside volatility in futures markets. Journal of Futures Markets, 41(7), 1124-1153.

Han, X., Liu, Z., & Wang, S. (2021). An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting. Journal of Commodity Markets, 100188.

Hosseini, A., jahangiri, K., Heydari, H., & Ghaemi asl, M. (2019). Study of Shock and Volatility Spillovers among Selected Indices of the Tehran Stock Exchange Using Asymmetric BEKK-GARCH Model. Journal of Applied Economics Studies in Iran, 8(29), 123-155. doi: 10.22084/aes.2018.15376.2578. [in persian]

Jiang,Y., Fu,Y., Ruan,W. (2019)  Risk spillovers and portfolio management between precious metal and BRICS stock markets. Physica A, 534,120993.

Karami, Sepideh, and Rostegar, Mohammad Ali. (2018). Estimation of the Spillover Effects of Returns and Volatility Between Industries in the Tehran Stock Exchange. Financial Engineering and Securities Management, 35(9), 323-342. Dor: 20.1001.1.22519165.1397.9.35.15.8. [in persian]

Karolyi, G. A., & Stulz, R. M. (1996). Why do markets move together? An investigation of US‐Japan stock return comovements. The Journal of Finance, 51(3), 951-986.

Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of econometrics, 74(1), 119-147.

Li, X., Li, B., Wei, G., Bai, L., Wei, Y., & Liang, C. (2021). Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US. Resources Policy, 73, 102166.

Liew, P. X., Lim, K. P., & Goh, K. L. (2022). The dynamics and determinants of liquidity connectedness across financial asset markets. International Review of Economics & Finance, 77, 341-358.

Mensi, W., Ahmadian-Yazdi, F., Al-Kharusi, S., Roudari, S., & Kang, S. H. (2024). Extreme Connectedness Across Chinese Stock and Commodity Futures Markets. Research in International Business and Finance, 70, 102299.

Mohseni, H., & botshekan, M. H. (2020). Investigating Conditional correlation among Industries in the Capital Market. Budget and Finance Strategic Research, 1(1), 75-91. doi: 10.22084/bfr.2020.20158.2357. [in persian]

Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics letters, 58(1), 17-29.

Reboredo, J. C., Ugolini, A., & Hernandez, J. A. (2021). Dynamic spillovers and network structure among commodity, currency, and stock markets. Resources Policy, 74, 102266.

Rehman, M. U., Vo, X. V., Ko, H. U., Ahmad, N., & Kang, S. H. (2023). Quantile connectedness between Chinese stock and commodity futures markets. Research in International Business and Finance, 64, 101810.

Rudari, S., Jalili, E., & Omidi, V. (2023). Portfolio Management in the Refining Industry: Investigating Conditions with Positive and Negative Returns: An Asymmetric TVP-VAR Approach. Financial Management Perspective, 13(43), 133-154. doi: 10.48308/jfmp.2024.104291. [ in persian]

Roudari, S., Farahanifard, S., Shahabadi, A., & Adeli, O. (2022). Investigating the Time-Frequency Volatility Spillover among Exchange Rate, Inflation, Stocks and Housing Prices in Iran. Journal of Economics and Modelling, 13(2), 65-93. doi: 10.29252/jem.2022.228781.1783. [ in persian]

Saiti, B., Bacha, O. I., & Masih, M. (2016). Testing the conventional and Islamic financial market contagion: evidence from wavelet analysis. Emerging Markets Finance and Trade, 52(8), 1832-1849.

Salisu, A, Isah, K, A, A (2019). Dynamic spillovers between stock and money markets in Nigeria: A VARMA-GARCH approach. Review of Economic Analysis ,11,255-283.

sezavar, M. R., khazaei, A., & eslamian, M. (2019). Conditional correlation between foreign exchange markets, gold, housing, stock and oil in the Iranian economy. Economic Strategy, 8(29), 37-60. doi: 10.22075/jes.2019.15487.1148.   [in persian]

Shirafkan Lamsou, Mehdi, Izadi, Hamidreza, and Sistani Bandoei, Yaser. (2023). Time-Varying Quantile Dependency Among Selected Industry Indices of the Tehran Stock Exchange: Examining High, Low, and Medium Return States (TVP-Quantile VAR Approach). Financial Economics, 17(65), 121-152. doi:  10.30495/fed.2023.707988 [in persian]

Taleblou, R., & Mohajeri, P. (2021). Modeling the Transmission of Volatility in the Iranian Stock Market Space-State Nonlinear Approach. Journal of Economic Research (Tahghighat- E- Eghtesadi), 55(4), 963-990. doi: 10.22059/jte.2021.322088.1008455. [in persian]

Tang, Y., Xiao, X., Wahab, M. I. M., & Ma, F. (2021). The role of oil futures intraday information on predicting US stock market volatility. Journal of Management Science and Engineering, 6, 64–74.

Yunus, N. (2020). Time-varying linkages among gold, stocks, bonds and real estate. The Quarterly Review of Economics and Finance, 77, 165-185.