Mostrar el registro sencillo del ítem

dc.contributor.authorMarín-Rodríguez N.J
dc.contributor.authorGonzález-Ruiz J.D
dc.contributor.authorBotero S.
dc.date.accessioned2023-10-24T19:24:59Z
dc.date.available2023-10-24T19:24:59Z
dc.date.created2022
dc.identifier.issn2296665X
dc.identifier.urihttp://hdl.handle.net/11407/8026
dc.description.abstractGreen bonds play a pivotal role in the financing of sustainable infrastructure systems. Likewise, CO2 emissions and oil prices can cause an impact on the green bonds market. In order to better understand this issue, this study analyzes the relationship among green bonds, CO2 futures’ prices, and oil prices using a daily data set that includes 2,206 observations corresponding to daily information from 1 January 2014 to 15 June 2022. The Granger Causality Test and the Dynamic Conditional Correlation (DCC-Garch) Model were employed to conduct this analysis. Furthermore, a sensitivity analysis was performed to identify crisis periods concerning the sample period and provide an analysis of DCC-Garch results during extreme market conditions like the COVID-19 pandemic and the Russian invasion of Ukraine. The Granger Causality Test results present a unidirectional causality running from the Green Bond Index to the oil price returns. Also, there is a unidirectional causality running from the Green Bond Index to the CO2 futures’ returns. Additionally, a unidirectional causality runs from the oil price returns to the CO2 futures’ returns. The results for the DCC-Garch indicate a positive dynamic correlation between the Brent oil price return and the CO2 futures’ returns. Finally, the Green Bond Index shows a negative dynamic correlation to the oil return and the CO2 futures’ returns presenting a strong correlation in uncertainty periods. Copyright © 2022 Marín-Rodríguez, González-Ruiz and Botero.eng
dc.language.isoeng
dc.publisherFrontiers Media S.A.
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85139955955&doi=10.3389%2ffenvs.2022.992726&partnerID=40&md5=9168673832061da1c30650b4f4b843d4
dc.sourceFront. Environ. Sci.
dc.sourceFrontiers in Environmental Scienceeng
dc.subjectCo-movementseng
dc.subjectCO2 emissionseng
dc.subjectDependenceeng
dc.subjectGreen bondseng
dc.subjectOil priceeng
dc.subjectScientometric analysiseng
dc.titleDynamic relationships among green bonds, CO2 emissions, and oil priceseng
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Financieraspa
dc.type.spaArtículo
dc.identifier.doi10.3389/fenvs.2022.992726
dc.relation.citationvolume10
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationMarín-Rodríguez, N.J., Programa de Ingeniería Ingeniería Financiera, Facultad de Ingenierías, Industria y Organizaciones, Universidad de Medellín, Universidad Nacional de Colombia (Sede Medellín), Medellín, Colombia
dc.affiliationGonzález-Ruiz, J.D., Departamento de Economía, Facultad de Ciencias Humanas y Económicas, Grupo de Investigación en Finanzas y Sostenibilidad, Universidad Nacional de Colombia, Sede Medellín, Medellín, Colombia
dc.affiliationBotero, S., Departamento de Ingeniería de la Organización, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Medellín, Colombia
dc.relation.referencesAdom, P.K., Kwakwa, P.A., Amankvvaa, A., The long-run effects of economic, demographic, and political indices on actual and potential CO2 emissions (2018) J. Environ. Manag, 218, pp. 516-526. , a
dc.relation.referencesAdom, P.K., Kwakwa, P.A., Amankwaa, A., The long-run effects of economic, demographic, and political indices on actual and potential CO2 emissions (2018) J. Environ. Manag, 218, pp. 516-526. , b
dc.relation.referencesAkca, H., Environmental Kuznets curve and financial development in Turkey: Evidence from augmented ARDL approach (2021) Environ. Sci. Pollut. Res, 28, pp. 69149-69159
dc.relation.referencesAkkoc, U., Civcir, I., Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model (2019) Resour. Policy, 62, pp. 231-239
dc.relation.referencesAkram, V., Haider, S., A dynamic nexus between COVID-19 sentiment, clean energy stocks, technology stocks, and oil prices: Global evidence (2022) Energy Res. Lett, 3, p. 32625
dc.relation.referencesAlshehry, A.S., Belloumi, M., Study of the environmental Kuznets curve for transport carbon dioxide emissions in Saudi Arabia (2017) Renew. Sustain. Energy Rev, 75, pp. 1339-1347
dc.relation.referencesAria, M., Cuccurullo, C., bibliometrix: An R-tool for comprehensive science mapping analysis (2017) J. Inf, 11, pp. 959-975
dc.relation.referencesAzhgaliyeva, D., Kapoor, A., Liu, Y., Green bonds for financing renewable energy and energy efficiency in south-east asia: A review of policies (2020) J. Sustain. Finance Invest, 10, pp. 113-140
dc.relation.referencesAzhgaliyeva, D., Kapsalyamova, Z., Mishra, R., Oil price shocks and green bonds: An empirical evidence (2022) Energy Econ, 112, p. 106108
dc.relation.referencesAzhgaliyeva, D., Mishra, R., Kapsalyamova, Z., (2021) Oil price shocks and green bonds: A longitudinal multilevel model, , https://www.adb.org/publications/oil-price-shocks-green-bonds-longitudinal-multilevel-model, Tokyo, Asian Development Bank, :, Accessed May 15, 2022
dc.relation.referencesBalaguer, J., Cantavella, M., Estimating the environmental Kuznets curve for Spain by considering fuel oil prices (1874–2011) (2016) Ecol. Indic, 60, pp. 853-859
dc.relation.referencesBali, T.G., Engle, R.F., The intertemporal capital asset pricing model with dynamic conditional correlations (2010) J. Monetary Econ, 57, pp. 377-390
dc.relation.referencesBasher, S.A., Sadorsky, P., Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, adcc and GO-GARCH (2016) Energy Econ, 54, pp. 235-247
dc.relation.referencesBaur, D.G., Financial contagion and the real economy (2012) J. Bank. Finance, 36, pp. 2680-2692
dc.relation.referencesBayar, Y., Sasmaz, M.U., Ozkaya, M.H., Impact of trade and financial globalization on renewable energy in EU transition economies: A bootstrap panel granger causality test (2021) Energies (Basel), 14, p. 19
dc.relation.referencesBehmiri, N.B., Pires Manso, J.R., Crude oil conservation policy hypothesis in OECD (organisation for economic cooperation and development) countries: A multivariate panel granger causality test (2012) Energy, 43, pp. 253-260
dc.relation.references(2021) Bloomberg MSCI Green Bond Indices. Bringing clarity to the green bond market through benchmark indices, , https://www.msci.com/documents/1296102/26180598/BBG+MSCI+Green+Bond+Indices+Primer.pdf, (Accessed June 9, 2022
dc.relation.referencesBoersen, A., Scholtens, B., The relationship between European electricity markets and emission allowance futures prices in phase II of the EU (European Union) emission trading scheme (2014) ENERGY, 74, pp. 585-594
dc.relation.referencesBoufateh, T., The environmental Kuznets curve by considering asymmetric oil price shocks: Evidence from the top two (2019) Environ. Sci. Pollut. Res, 26, pp. 706-720
dc.relation.referencesBroadstock, D.C., Cheng, L.T.W., Time-varying relation between black and green bond price benchmarks: Macroeconomic determinants for the first decade (2019) Finance Res. Lett, 29, pp. 17-22
dc.relation.referencesCaporin, M., McAleer, M., Ten things you should know about the dynamic conditional correlation representation (2013) Econometrics, 1, pp. 115-126
dc.relation.referencesCappiello, L., Engle, R.F., Sheppard, K., Asymmetric dynamics in the correlations of global equity and bond returns (2006) J. Financial Econ, 4, pp. 537-572
dc.relation.referencesChang, K., Ye, Z., Wang, W., Volatility spillover effect and dynamic correlation between regional emissions allowances and fossil energy markets: New evidence from China’s emissions trading scheme pilots (2019) Energy, 185, pp. 1314-1324
dc.relation.referencesChen, Q., Taylor, D., Economic development and pollution emissions in Singapore: Evidence in support of the Environmental Kuznets Curve hypothesis and its implications for regional sustainability (2020) J. Clean. Prod, 243, p. 118637
dc.relation.referencesChen, Y., Qu, F., Li, W., Chen, M., Volatility spillover and dynamic correlation between the carbon market and energy markets (2019) J. Bus. Econ. Manag, 20, pp. 979-999
dc.relation.referencesCherubini, F., The biorefinery concept: Using biomass instead of oil for producing energy and chemicals (2010) Energy Convers. Manag, 51, pp. 1412-1421
dc.relation.referencesChevallier, J., Time-varying correlations in oil, gas and CO2 prices: An application using BEKK, CCC and DCC-MGARCH models (2012) Appl. Econ, 44, pp. 4257-4274
dc.relation.referencesChoi, D., Gao, Z., Jiang, W., Attention to global warming (2020) Rev. Financ. Stud, 33, pp. 1112-1145
dc.relation.referencesCivcir, İ., Akkoç, U., Dynamic volatility linkages and hedging between commodities and sectoral stock returns in Turkey: Evidence from SVAR-cDCC-GARCH model (2021) Int. J. Fin. Econ, 26, pp. 1978-1992
dc.relation.referencesColacito, R., Engle, R.F., Ghysels, E., A component model for dynamic correlations (2011) J. Econ, 164, pp. 45-59
dc.relation.referencesde Nard, G., Engle, R.F., Ledoit, O., Wolf, M., Large dynamic covariance matrices: Enhancements based on intraday data (2022) J. Bank. Finance, 138, p. 106426
dc.relation.referencesde Souza, E.S., Freire, F.D.S., Pires, J., Determinants of CO2 emissions in the MERCOSUR: The role of economic growth, and renewable and non-renewable energy (2018) Environ. Sci. Pollut. Res, 25, pp. 20769-20781
dc.relation.referencesDickey, D.A., Fuller, W.A., Distribution of the estimators for autoregressive time series with a unit root (1979) J. Am. Stat. Assoc, 74, pp. 427-431
dc.relation.referencesDutta, A., Bouri, E., Noor, M.H., Return and volatility linkages between CO2 emission and clean energy stock prices (2018) Energy, 164, pp. 803-810
dc.relation.referencesDutta, A., Bouri, E., Noor, M.H., Climate bond, stock, gold, and oil markets: Dynamic correlations and hedging analyses during the COVID-19 outbreak (2021) Resour. Policy, 74, p. 102265
dc.relation.referencesEngle, R., Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models (2002) J. Bus. Econ. Stat, 20, pp. 339-350
dc.relation.referencesEngle, R.F., Kroner, K.F., Multivariate simultaneous generalized arch (1995) Econ. Theory, 11, pp. 122-150
dc.relation.referencesEngle, R.F., Ledoit, O., Wolf, M., Large dynamic covariance matrices (2019) J. Bus. Econ. Stat, 37, pp. 363-375
dc.relation.referencesErdogan, S., Okumus, I., Guzel, A.E., Revisiting the environmental Kuznets curve hypothesis in OECD countries: The role of renewable, non-renewable energy, and oil prices (2020) Environ. Sci. Pollut. Res, 27, pp. 23655-23663
dc.relation.referencesFatica, S., Panzica, R., Green bonds as a tool against climate change? (2021) Bus. Strategy Environ, 30, pp. 2688-2701
dc.relation.referencesFilis, G., Degiannakis, S., Floros, C., Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries (2011) Int. Rev. Financial Analysis, 20, pp. 152-164
dc.relation.referencesFtiti, Z., Guesmi, K., Teulon, F., Chouachi, S., Relationship between crude oil prices and economic growth in selected OPEC countries (2016) J. Appl. Bus. Res, 32, pp. 11-22
dc.relation.referencesGajurel, D., Chawla, A., The oil price crisis and contagion effects on the Canadian economy (2022) Appl. Econ, 54, pp. 1527-1543
dc.relation.referencesGonzález-Ruiz, J.D., Mejía-Escobar, J.C., Rojo-Suárez, J., Alonso-Conde, A.-B., Green bonds for renewable energy in Latin America and the caribbean (2023) Energy J, 44
dc.relation.referencesGranger, C.W.J., Investigating Causal Relations by Econometric Models and Cross-SpectralMethods (1969) Essays in Econ, 2, pp. 31-47. , Ghysels E., Swanson N.R., Watson M.W., (eds), Editors
dc.relation.referencesHammoudeh, S., Ajmi, A.N., Mokni, K., Relationship between green bonds and financial and environmental variables: A novel time-varying causality (2020) Energy Econ, 92, p. 104941
dc.relation.referencesHenriques, I., Sadorsky, P., Oil prices and the stock prices of alternative energy companies (2008) Energy Econ, 30, pp. 998-1010
dc.relation.referencesHung, N.T., Nexus between green bonds, financial, and environmental indicators (2021) Econ. Bus. Lett, 10, pp. 191-199
dc.relation.referencesJin, J., Han, L., Wu, L., Zeng, H., The hedging effect of green bonds on carbon market risk (2020) Int. Rev. Financial Analysis, 71, p. 101509
dc.relation.referencesKhan, I., Rehman, F.U., Pyplacz, P., Khan, M.A., Wisniewska, A., Liczmanska-Kopcewicz, K., A dynamic linkage between financial development, energy consumption and economic growth: Evidence from an asymmetric and nonlinear ARDL model (2021) Energies (Basel), 14, p. 5006
dc.relation.referencesKoch, N., Dynamic linkages among carbon, energy and financial markets: A smooth transition approach (2014) Appl. Econ, 46, pp. 715-729
dc.relation.referencesLamouchi, R.A., Alawi, S.M., Dynamic linkages between the oil spot, oil futures, and stock markets: Evidence from Dubai (2020) Int. J. Energy Econ. Policy, 10, pp. 377-383
dc.relation.referencesLe, T.-H., Nguyen, C.P., Is energy security a driver for economic growth? Evidence from a global sample (2019) Energy Policy, 129, pp. 436-451
dc.relation.referencesLe, T.-L., Abakah, E.J.A., Tiwari, A.K., Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution (2021) Technol. Forecast. Soc. Change, 162, p. 120382
dc.relation.referencesLee, C.-C., Lee, C.-C., Li, Y.-Y., Oil price shocks, geopolitical risks, and green bond market dynamics (2021) North Am. J. Econ. Finance, 55, p. 101309
dc.relation.referencesLee, Y., Yoon, S.-M., Dynamic spillover and hedging among carbon, biofuel and oil (2020) Energies (Basel), 13, p. 4382
dc.relation.referencesLin, B., Chen, Y., Dynamic linkages and spillover effects between cet market, coal market and stock market of new energy companies: A case of beijing cet market in China (2019) Energy, 172, pp. 1198-1210
dc.relation.referencesLin, J.-B., Tsai, W., The relations of oil price change with fear gauges in global political and economic environment (2019) Energies (Basel), 14, p. 2982
dc.relation.referencesLiu, X., Bouri, E., Jalkh, N., Dynamics and determinants of market integration of green, clean, dirty energy investments and conventional stock indices (2021) Front. Environ. Sci, 9, p. 786528
dc.relation.referencesMa, Z., Yan, Y., Wu, R., Li, F., Research on the correlation between WTI crude oil futures price and European carbon futures price (2021) Front. Energy Res, 9, p. 735665
dc.relation.referencesMahmood, H., Asadov, A., Tanveer, M., Furqan, M., Yu, Z., Impact of oil price, economic growth and urbanization on CO2 emissions in GCC countries: Asymmetry analysis (2022) Sustainability, 14, p. 4562
dc.relation.referencesMahmood, H., Furqan, M., Oil rents and greenhouse gas emissions: Spatial analysis of gulf cooperation council countries (2021) Environ. Dev. Sustain, 23, pp. 6215-6233
dc.relation.referencesMalik, M.I., Rashid, A., Return and volatility spillover between sectoral stock and oil price: Evidence from Pakistan stock exchange (2017) Ann. Finan. Econ, 12, p. 1750007
dc.relation.referencesMarimoutou, V., Soury, M., Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model (2015) Energy, 88, pp. 417-429
dc.relation.referencesMarquez-Cardenas, V., Gonzalez-Ruiz, J.D., Duque-Grisales, E., Board gender diversity and firm performance: Evidence from Latin America (2021) J. Sustain. Finance Invest, 12, pp. 785-808
dc.relation.referencesMarshall, A., (1890) Principles of economics, 8th edn (1920), , London, Mcmillan
dc.relation.referencesMejia-Escobar, J.C., González-Ruiz, J.D., Duque-Grisales, E., Sustainable financial products in the Latin America banking industry: Current status and insights (2020) Sustain. Switz, 12, p. 5648
dc.relation.referencesMejía-Escobar, J.C., González-Ruiz, J.D., Franco-Sepúlveda, G., Current state and development of green bonds market in the Latin America and the caribbean (2021) Sustain. Switz, 13, p. 10872
dc.relation.referencesMelek, N.C., (2018) The response of US investment to oil price shocks: Does the shale boom matter?, , Kansas City, Economic Review, Federal Reserve Bank of Kansas City forthcoming
dc.relation.referencesMensah, I.A., Sun, M., Gao, C., Omari-Sasu, A.Y., Zhu, D., Ampimah, B.C., Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach (2019) J. Clean. Prod, 228, pp. 161-174
dc.relation.referencesMoomaw, W.R., Unruh, G.C., Are environmental Kuznets curves misleading us? The case of CO2 emissions (1997) Environ. Dev. Econ, 2, pp. 451-463
dc.relation.referencesMoutinho, V., Madaleno, M., Elheddad, M., Determinants of the Environmental Kuznets Curve considering economic activity sector diversification in the OPEC countries (2020) J. Clean. Prod, 271, p. 122642
dc.relation.referencesNaeem, M.A., Mbarki, I., Alharthi, M., Omri, A., Shahzad, S.J.H., Did COVID-19 impact the connectedness between green bonds and other financial markets? Evidence from time-frequency domain with portfolio implications (2021) Front. Environ. Sci, 9, p. 657533
dc.relation.referencesNaser, H., Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: An evidence from emerging economies (2015) ENERGY, 89, pp. 421-434
dc.relation.referencesNguyen, T.T.H., Naeem, M.A., Balli, F., Balli, H.O., Vo, X.V., Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds (2021) Finance Res. Lett, 40, p. 101739
dc.relation.referencesOmri, A., ben Mabrouk, N., Sassi-Tmar, A., Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries (2015) Renew. Sustain. Energy Rev, 42, pp. 1012-1022. , a
dc.relation.referencesOmri, A., Daly, S., Nguyen, D.K., A robust analysis of the relationship between renewable energy consumption and its main drivers (2015) Appl. Econ, 47, pp. 2913-2923. , b
dc.relation.referencesOsorio, S., Tietjen, O., Pahle, M., Pietzcker, R.C., Edenhofer, O., Reviewing the Market Stability Reserve in light of more ambitious EU ETS emission targets (2021) Energy Policy, 158, p. 112530
dc.relation.referencesPakel, C., Shephard, N., Sheppard, K., Engle, R.F., Fitting vast dimensional time-varying covariance models (2021) J. Bus. Econ. Stat, 39, pp. 652-668
dc.relation.referencesPata, U.K., Linking renewable energy, globalization, agriculture, CO2 emissions and ecological footprint in bric countries: A sustainability perspective (2021) Renew. energy, 173, pp. 197-208
dc.relation.referencesPham, H.N.A., Ramiah, V., Moosa, N., Huynh, T., Pham, N., The financial effects of Trumpism (2018) Econ. Model, 74, pp. 264-274
dc.relation.referencesPiñeiro-Chousa, J., López-Cabarcos, M.Á., Šević, A., Green bond market and Sentiment: Is there a switching Behaviour? (2022) J. Bus. Res, 141, pp. 520-527
dc.relation.referencesPirgaip, B., Dincergok, B., Economic policy uncertainty, energy consumption and carbon emissions in G7 countries: Evidence from a panel granger causality analysis (2020) Environ. Sci. Pollut. Res, 27, pp. 30050-30066
dc.relation.referencesPrabheesh, K.P., Padhan, R., Garg, B., COVID-19 and the oil price – stock market nexus: Evidence from net oil-importing countries (2020) Energy Res. Lett, 1, p. 13745
dc.relation.referencesQuadrelli, R., Peterson, S., The energy–climate challenge: Recent trends in CO2 emissions from fuel combustion (2007) Energy Policy, 35, pp. 5938-5952
dc.relation.referencesRai, K., Garg, B., Dynamic correlations and volatility spillovers between stock price and exchange rate in BRIICS economies: Evidence from the COVID-19 outbreak period (2022) Appl. Econ. Lett, 29, pp. 738-745
dc.relation.referencesRangel, J.G., Engle, R.F., The Factor-Spline-GARCH model for high and low frequency correlations (2012) J. Bus. Econ. Stat, 30, pp. 109-124
dc.relation.referencesReboredo, J.C., Green bond and financial markets: Co-Movement, diversification and price spillover effects (2018) Energy Econ, 74, pp. 38-50
dc.relation.referencesReboredo, J.C., Modelling oil price and exchange rate co-movements (2012) J. Policy Model, 34, pp. 419-440
dc.relation.referencesReboredo, J.C., Ugolini, A., Aiube, F.A.L., Network connectedness of green bonds and asset classes (2020) Energy Econ, 86, p. 104629
dc.relation.referencesReboredo, J.C., Ugolini, A., Price connectedness between green bond and financial markets (2020) Econ. Model, 88, pp. 25-38
dc.relation.referencesRen, X., Li, Y., yan, C., Wen, F., Lu, Z., The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method (2022) Technol. Forecast. Soc. Change, 179, p. 121611
dc.relation.referencesRen, X., Lu, Z., Cheng, C., Shi, Y., Shen, J., On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis (2019) Energy Econ, 80, pp. 234-252
dc.relation.referencesSaboori, B., Al-mulali, U., bin Baba, M., Mohammed, A.H., Oil-Induced environmental Kuznets curve in organization of petroleum exporting countries (OPEC) (2016) Int. J. Green Energy, 13, pp. 408-416
dc.relation.referencesSadorsky, P., Modeling volatility and conditional correlations between socially responsible investments, gold and oil (2014) Econ. Model, 38, pp. 609-618
dc.relation.referencesSadorsky, P., Renewable energy consumption, CO2 emissions and oil prices in the G7 countries (2009) Energy Econ, 31, pp. 456-462
dc.relation.referencesSaeed, T., Bouri, E., Alsulami, H., Extreme return connectedness and its determinants between clean/green and dirty energy investments (2021) Energy Econ, 96, p. 105017
dc.relation.referencesSaeed, T., Bouri, E., Tran, D.K., Hedging strategies of green assets against dirty energy assets (2020) Energies (Basel), 13, p. 3141
dc.relation.referencesSalem, S., (2017) Key commodity markets: Dynamic correlations & volatilities in time-frequency domain, , Surrey, University of Surrey United Kingdom
dc.relation.referencesSener, S.E.C., Sharp, J.L., Anctil, A., Factors impacting diverging paths of renewable energy: A review (2018) Renew. Sustain. Energy Rev, 81, pp. 2335-2342
dc.relation.referencesSinghal, S., Ghosh, S., Returns and volatility linkages between international crude oil price, metal and other stock indices in India: Evidence from VAR-DCC-GARCH models (2016) Resour. Policy, 50, pp. 276-288
dc.relation.referencesSurya, E., Wibowo, S.S., Empirical analysis of oil price volatility and stock returns in ASEAN-5 countries using DCC-GARCH (2018) Pertanika J. Soc. Sci. and Humanit, 26, pp. 251-263
dc.relation.referencesSyed, A.A., Ahmed, F., Kamal, M.A., Ullah, A., Ramos-Requena, J.P., Is there an asymmetric relationship between economic policy uncertainty, cryptocurrencies, and global green bonds? Evidence from the United States of America (2022) Mathematics, 10, p. 720
dc.relation.referencesTiwari, A.K., Aikins Abakah, E.J., Gabauer, D., Dwumfour, R.A., Green bond, renewable energy stocks and carbon price: Dynamic connectedness, hedging and investment strategies during COVID-19 pandemic (2021) SSRN J, pp. 1-42
dc.relation.referencesTroster, V., Shahbaz, M., Uddin, G.S., Renewable energy, oil prices, and economic activity: A granger-causality in quantiles analysis (2018) Energy Econ, 70, pp. 440-452
dc.relation.referencesTse, Y.K., Tsui, A.K.C., A multivariate generalized autoregressive conditional heteroscedasticity model with time-varying correlations (2002) J. Bus. Econ. Stat, 20, pp. 351-362
dc.relation.referencesTurhan, M.I., Sensoy, A., Hacihasanoglu, E., A comparative analysis of the dynamic relationship between oil prices and exchange rates (2014) J. Int. Financial Mark. Institutions Money, 32, pp. 397-414
dc.relation.referencesUzar, U., Political economy of renewable energy: Does institutional quality make a difference in renewable energy consumption? (2020) Renew. Energy, 155, pp. 591-603
dc.relation.referencesvan Eck, N.J., Waltman, L., Citation-based clustering of publications using CitNetExplorer and VOSviewer (2017) Scientometrics, 111, pp. 1053-1070
dc.relation.referencesWang, S., Wang, D., Exploring the relationship between ESG performance and green bond issuance (2022) Front. Public Health, 10, p. 897577
dc.relation.referencesYan, L., Wang, H., Athari, S.A., Atif, F., Driving green bond market through energy prices, gold prices and green energy stocks: Evidence from a non-linear approach (2022) Econ. Research-Ekonomska Istraz, pp. 1-21
dc.relation.referencesZaghdoudi, T., Oil prices, renewable energy, CO2 emissions and economic growth in OECD countries (2017) Econ. Bull, 37 (3), pp. 1844-1850. , https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028668466&partnerID=40&md5=d2530fbe0feb8e695f473eebbe41a2f3
dc.relation.referencesZheng, Y., Zhou, M., Wen, F., Asymmetric effects of oil shocks on carbon allowance price: Evidence from China (2021) Energy Econ, 97, p. 105183
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem