Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring Economic Policy Uncertainty.
The Quarterly Journal of Economics, 131(4), 1593-1636. Retrieved from
https://www.aeaweb.org/conference/2014/retrieve.php?pdfid=1116.
Bartram, S. M., Hou, K., & Kim, S. (2022). Real Effects of Climate Policy: Financial Constraints and Spillovers.
Journal of Financial Economics, 143(2), 668-696. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0304405X21002853.
Baumeister, C., & Hamilton, J. D. (2019). Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks.
American Economic Review, 109(5), 1873-1910. Retrieved from
https://www.nber.org/system/files/working_papers/w24167/w24167.pdf .
Biyase, M., & Naidoo, Y. (2023). The Symmetric and Asymmetric Effect of Remittances on Financial Development: Evidence from South Africa.
International Journal of Financial Studies, 11(1), 26. Retrieved from
https://www.mdpi.com/2227-7072/11/1/26.
Bouoiyour, J., Selmi, R., Hammoudeh, S., & Wohar, M. E. (2019). What are the Categories of Geopolitical Risks that Could Drive Oil Prices Higher? Acts or Threats?
Energy Economics, 84, 104523. Retrieved from
https://www.academia.edu/download/115117995/j.eneco.2019.10452320240521-1-go182t.pdf.
Bouri, E., Iqbal, N., & Klein, T. (2022). Climate Policy Uncertainty and the Price Dynamics of Green and Brown Energy Stocks.
Finance Research Letters, 47, 102740. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1544612322000629.
Chatziantoniou, I., Filippidis, M., Filis, G., & Gabauer, D. (2021). A Closer Look into the Global Determinants of Oil Price Volatility.
Energy Economics, 95, 105092. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988320304321.
Chinn, M. D., & Ito, H. (2007). Current Account Balances, Financial Development and Institutions: Assaying the World “Saving Glut”.
Journal of International Money and Finance, 26(4), 546-569. Retrieved from
https://www.nber.org/system/files/working_papers/w11761/w11761.pdf .
Dai, Z., & Zhu, H. (2023). Dynamic Risk Spillover among Crude Oil, Economic Policy Uncertainty, and Chinese Financial Sectors.
International Review of Economics & Finance, 83, 421-450. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1059056022002374.
De Schryder, S., & Peersman, G. (2013). The US Dollar Exchange Rate and the Demand for Oil. Retrieved from
https://journals.sagepub.com/doi/pdf/10.5547/01956574.37.1.ssch.
Diaz-Rainey, I., Gehricke, S. A., Roberts, H., & Zhang, R. (2021). Trump vs. Paris: The Impact of Climate Policy on US Listed Oil and Gas Firm Returns and Volatility.
International Review of Financial Analysis, 76, 101746. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1057521921000880.
Dutta, A., Bouri, E., & Noor, M. H. (2021). Climate Bond, Stock, Gold, and Oil Markets: Dynamic Correlations and Hedging Analyses during the COVID-19 Outbreak.
Resources Policy, 74, 102265. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0301420721002762.
Fahmy, H. (2022). The Rise in Investors’ Awareness of Climate Risks after the Paris Agreement and the Clean Energy-Oil-Technology Prices Nexus.
Energy Economics, 106, 105738. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988321005855.
Gu, X., Zhu, Z., & Yu, M. (2021). The Macro Effects of GPR and EPU Indexes over the Global Oil Market—Are the Two Types of Uncertainty Shock Alike?
Energy Economics, 100, 105394. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988321002930.
Guo, Y., Ma, F., Li, H., & Lai, X. (2022). Oil Price Volatility Predictability Based on Global Economic Conditions.
International Review of Financial Analysis, 82, 102195. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1057521922001569.
Hong, C., Zhang, Q., Zhang, Y., Davis, S. J., Zhang, X., Tong, D., Guan, D., Liu, Z., & He, K. (2020). Weakening Aerosol Direct Radiative Effects Mitigate Climate Penalty on Chinese Air Quality.
Nature Climate Change, 10(9), 845-850. Retrieved from
https://drive.google.com/file/d/129xMuRBl0rzCF3JfSSaNmMxUuqxTvG6q/view.
In, S. Y., Weyant, J. P., & Manav, B. (2022). Pricing Climate-Related Risks of Energy Investments.
Renewable and Sustainable Energy Reviews, 154, 111881. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1364032121011485.
Cho, J. W., Choi, J. H., Kim, T., & Kim, W. (2016). Flight-to-quality and Correlation between Currency and Stock Returns.
Journal of Banking & Finance,
62, 191-212. Retrieved from
https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=2024638.
Jakada, A. H., Ibrahim, B. A., Danmaraya, I. A., Fagge, A. M., & Yola, A. T. (2023). Asymmetric Effect of Crude Oil Price on the Quality of Environment in Nigeria: An Application of Non-Linear ARDL.
Caspian Journal of Environmental Sciences, 21(3), 493-507. Retrieved from
https://www.researchgate.net/.
Javadi, S., & Masum, A. A. (2021). The Impact of Climate Change on the Cost of Bank Loans.
Journal of Corporate Finance, 69, 102019. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0929119921001401.
Ji, Q., Geng, J. B., & Tiwari, A. K. (2018). Information Spillovers and Connectedness Networks in the Oil and Gas Markets.
Energy Economics, 75, 71-84. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988318303116.
Khanday, I. N., Tarique, M., Wani, I. U., & Dar, M. H. (2024). Poverty and Financial Development: An Asymmetric and Nonlinear ARDL Analysis for India.
Journal of Economic Studies,
51(4), 764-782. Retrieved from
https://www.researchgate.net/.
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. Retrieved from
https://www.jstor.org/stable/pdf/25592494.pdf.
Krueger, P., Sautner, Z., & Starks, L. T. (2020). The Importance of Climate Risks for Institutional Investors.
The Review of Financial Studies, 33(3), 1067-1111. Retrieved from
https://www.jstor.org/stable/pdf/48574180.
Li, Y., Huang, J., Gao, W., & Zhang, H. (2021). Analyzing the Time-Frequency Connectedness among Oil, Gold Prices, and BRICS Geopolitical Risks.
Resources Policy, 73, 102134. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0301420721001483.
Liang, C., Wei, Y., Li, X., Zhang, X., & Zhang, Y. (2020). Uncertainty and Crude Oil Market Volatility: New Evidence.
Applied Economics, 52(27), 2945-2959. Retrieved from
https://www.researchgate.net/.
Lin, B., & Bai, R. (2021). Oil Prices and Economic Policy Uncertainty: Evidence from Global, Oil Importers, and Exporters’ Perspectives.
Research in International Business and Finance, 56, 101357. Retrieved from
https://www.sciencedirect.com/science/article/pii/S027553192030965X.
Liu, Z., Tang, Y. M., Chau, K. Y., Chien, F., Iqbal, W., & Sadiq, M. (2021). Incorporating Strategic Petroleum Reserve and Welfare Losses: A Way Forward for the Policy Development of Crude Oil Resources in South Asia.
Resources Policy, 74, 102309. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0301420721003196.
Mei, D., Ma, F., Liao, Y., & Wang, L. (2020). Geopolitical Risk Uncertainty and Oil Future Volatility: Evidence from MIDAS Models.
Energy Economics, 86, 104624. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988319304219.
Mitra, S. K. (2018). An Analysis Of Brand Value And Its Determinants Using Quantile Regression. Academy of Marketing Studies Journal, 22(3), 1-9.
Anjum, N., Ghumro, N. H., & Husain, B. (2017). Asymmetric Impact of Exchange Rate Changes on Stock Prices: Empirical Evidence from Germany.
International Journal of Economics and Financial Research, 3(11), 240-245. Retrieved from
https://ideas.repec.org/a/arp/ijefrr/2017p240-245.html.
Bhutto, N. A., & Chang, B. H. (2019). The Effect of the Global Financial Crisis on the Asymmetric Relationship between Exchange Rate and Stock Prices.
High Frequency, 2(3–4), 175-183. Retrieved from
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hf2.10033.
Nodari, G. (2014). Financial Regulation Policy Uncertainty and Credit Spreads in the US.
Journal of Macroeconomics, 41, 122-132. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0164070414000743.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships.
Journal of Applied Econometrics, 16(3), 289-326. Retrieved from
https://onlinelibrary.wiley.com/doi/full/10.1002/jae.616.
Qin, M., Zhang, Y. C., & Su, C. W. (2020). The Essential Role of Pandemics: A Fresh Insight into the Oil Market.
Energy Research Letters, 1(1), 1-20. Retrieved from
https://erl.scholasticahq.com/article/13166-the-essential-role-of-pandemics-a-fresh-insight-into-the-oil-market.
Ren, J., Yang, J., Zhang, Y., Xiao, X., Xia, J. C., Li, X., & Wang, S. (2022). Exploring Thermal Comfort of Urban Buildings Based on Local Climate Zones.
Journal of Cleaner Production, 340, 130744. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0959652622003833.
Ren, X., Zhang, X., Yan, C., & Gozgor, G. (2022). Climate Policy Uncertainty and Firm-Level Total Factor Productivity: Evidence from China.
Energy Economics, 113, 106209. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988322003577.
Roncoroni, A., Battiston, S., Escobar-Farfán, L. O., & Martinez-Jaramillo, S. (2021). Climate Risk and Financial Stability in the Network of Banks and Investment Funds.
Journal of Financial Stability, 54, 100870. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1572308921000309.
Sehrawat, M. (2021). Modelling the Nexus between Human Capital, Income Inequality, and Energy Demand in India: New Evidence from Asymmetric and Non-Linear Analysis.
Environmental Science and Pollution Research, 28, 3632-3643. Retrieved from
https://link.springer.com/article/10.1007/s11356-020-10733-z.
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring Economic Policy Uncertainty.
The Quarterly Journal of Economics,
131(4), 1593-1636. Retrieved from
https://www.aeaweb.org/conference/2014/retrieve.php?pdfid=1116.
Salisu, A. A., Gupta, R., Bouri, E., & Ji, Q. (2020). The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach.
Research in International Business and Finance, 54, 101308. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0275531920307273.
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration And Dynamic Multipliers in a Nonlinear ARDL Framework. In
Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (281-314). New York: Springer. Retrieved from
https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=1807745.
Tian, H., Long, S., & Li, Z. (2022). Asymmetric Effects of Climate Policy Uncertainty, Infectious Diseases-Related Uncertainty, Crude Oil Volatility, and Geopolitical Risks on Green Bond Prices.
Finance Research Letters, 48, 103008. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1544612322002501.
Vasichenko, K., Khan, I., & Wang, Z. (2020). Symmetric and Asymmetric Effect of Energy Consumption and CO2 Intensity on Environmental Quality: Using Nonlinear and Asymmetric Approach.
Environmental Science and Pollution Research, 27, 32809-32819. Retrieved from
https://link.springer.com/article/10.1007/s11356-020-09263-5.
Wang, Q., Yang, X., & Li, R. (2022). The Impact of the COVID-19 Pandemic on the Energy Market–A Comparative Relationship between Oil and Coal.
Energy Strategy Reviews, 39, 100761. Retrieved from
https://www.sciencedirect.com/science/article/pii/S2211467X21001450.
Wei, Y., Liu, J., Lai, X., & Hu, Y. (2017). Which Determinant Is the Most Informative in Forecasting Crude Oil Market Volatility: Fundamental, Speculation, or Uncertainty?
Energy Economics, 68, 141-150. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988317303195.
Wen, Y., Wang, Y., Zhao, K., Chong, D., Huang, W., Hao, G., & Mo, S. (2018). The Engineering, Economic, and Environmental Performance of Terminal Blend Rubberized Asphalt Binders with Wax-Based Warm Mix Additives.
Journal of Cleaner Production, 184, 985-1001. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0959652618306607.
Xiao, J., & Liu, H. (2023). The time-varying Impact of Uncertainty on Oil Market Fear: Does Climate Policy Uncertainty Matter?
Resources Policy, 82, 103533. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0301420723002441.
Xiao, J., & Wang, Y. (2021). Investor Attention and Oil Market Volatility: Does Economic Policy Uncertainty Matter?
Energy Economics, 97, 105180. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0140988321000852.
Xu, R., Xu, L., & Xu, B. (2017). Assessing CO2 Emissions in China's Iron and Steel Industry: Evidence from a Quantile Regression Approach.
Journal of Cleaner Production, 152, 259-270. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0959652617305930.
Yaya, O. S., Gil-Alana, L. A., Adekoya, O. B., & Vo, X. V. (2021). How Fearful are Commodities and US Stocks in Response to Global Fear? Persistence and Cointegration Analyses.
Resources Policy, 74, 102273. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0301420721002841.
Zhang, D., & Kong, Q. (2022). Credit Policy, Uncertainty, and Firm R&D Investment: A Quasi-Natural Experiment Based on the Green Credit Guidelines.
Pacific-Basin Finance Journal, 73, 101751. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0927538X22000464.
Zhang, Y. J., & Yan, X. X. (2020). The Impact of US Economic Policy Uncertainty on WTI Crude Oil Returns in Different Time and Frequency Domains.
International Review of Economics & Finance, 69, 750-768. Retrieved from
https://www.sciencedirect.com/science/article/pii/S1059056020300708.
Zhang, Y., He, M., Wang, Y., & Liang, C. (2022). Global Economic Policy Uncertainty Aligned: An Informative Predictor for Crude Oil Market Volatility.
International Journal of Forecasting,
39(3), 1318-1332. Retrieved from
https://www.sciencedirect.com/science/article/pii/S0169207022001005.