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Jeopolitik Risk, İklim Politikası Belirsizliği ve Ham Petrol Fiyatlarının ABD Yeşil Tahvil Piyasası üzerine Asimetrik Etkileri

Yıl 2025, Cilt: 33 Sayı: 65, 49 - 71, 17.07.2025
https://doi.org/10.17233/sosyoekonomi.2025.03.03

Öz

Bu çalışmanın amacı, jeopolitik risk, iklim politikası belirsizliği ve ham petrol fiyatlarının ABD yeşil tahvil piyasasının getirisi ve gerçekleşen volatilitesi üzerindeki asimetrik etkilerini analiz etmektir. Bu amaç doğrultusunda; altı farklı model, Ocak 2010-Ağustos 2023 dönemine ait aylık veriler kullanılarak doğrusal olmayan otoregresif dağıtılmış gecikme (NARDL) metoduyla tahmin edilmiştir. Analiz sonuçları, uzun dönemde jeopolitik risk ve iklim politikası belirsizliğinde meydana gelen bir azalmanın yeşil tahvil getirisini artırdığını göstermektedir. Bununla birlikte, yeşil tahvil getirisi ve gerçekleşen volatilitesinin ham petrol fiyatları ve gerçekleşen volatilitesiyle uzun dönemde pozitif ilişkili olduğu bulgulanmıştır.

Kaynakça

  • Adekoya, O.B. et al. (2023), “Factors Behind the Performance of Green Bond Markets”, International Review of Economics & Finance, 88, 92-106.
  • Andersen, T.G. & T. Bollerslev (1998), “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts”, International Economic Review, 39(4), 885-905.
  • Arif, M. et al. (2022), “Diversifier or More? Hedge and Safe Haven Properties of Green Bonds During COVID-19”, Energy Policy, 168, 113102.
  • Baker, S. et al. (2020), “The Unprecedented Stock Market Reaction to COVID-19”, The Review of Asset Pricing Studies, 10(4), 742-758.
  • Caldara, D. & M. Iacoviello (2022), “Measuring Geopolitical Risk”, American Economic Review, 112(4), 1194-1225.
  • Dickey, D.A. & W.A. Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366), 427-431.
  • Dutta, A. & P. Dutta (2022), “Geopolitical Risk and Renewable Energy Asset Prices: Implications for Sustainable Development”, Renewable Energy, 196, 518-525.
  • Elsayed, A.H. et al. (2022), “Dependence Structure and Dynamic Connectedness between Green Bonds and Financial Markets: Fresh Insights from Time-Frequency Analysis Before and During COVID-19 Pandemic”, Energy Economics, 107, 105842.
  • Ferrer, R. et al. (2021), “Are Green Bonds a Different Asset Class? Evidence from Time-Frequency Connectedness Analysis”, Journal of Cleaner Production, 292, 125988.
  • Gao, Y. et al. (2021), “Risk Spillover and Network Connectedness Analysis of China's Green Bond and Financial Markets: Evidence from Financial Events of 2015-2020”, The North American Journal of Economics and Finance, 57, 101386.
  • Gavriilidis, K. (2021), “Measuring Climate Policy Uncertainty”, SSRN, 3847388.
  • Gong, C. et al. (2020), “Assessment of Natural Gas Supply Security in Asia Pacific: Composite Indicators with Compromise Benefit-of-the-Doubt Weights”, Resources Policy, 67, 101671.
  • Hammoudeh, S. et al. (2020), “Relationship between Green Bonds and Financial and Environmental Variables: A Novel Time-Varying Causality”, Energy Economics, 92, 104941.
  • Hung, N.T. (2021), “Green Bonds and Asset Classes: New Evidence from Time-varying Copula and Transfer Entropy Models”, Global Business Review, 104095.
  • Kanamura, T. (2020), “Are Green Bonds Environmentally Friendly and Good Performing Assets?”, Energy Economics, 88, 104767.
  • Kuchtyak, M. & E. Bruce (2022), Sustainable Bonds to Hit Record $1.35 Trillion in 2022, <https://dkf1ato8y5dsg.cloudfront.net/uploads/52/504/esg.pdf>, 30.03.2024.
  • Lee, C. et al. (2022), “The Roles of Oil Shocks and Geopolitical Uncertainties on China’s Green Bond Returns”, Economic Analysis and Policy, 74, 494-505.
  • Liu, F. et al. (2024), “Geopolitical Risk: An Opportunity or a Threat to the Green Bond Market?”, Energy Economics, 131, 107391.
  • Liu, G. et al. (2022), “Dynamic Risks from Climate Policy Uncertainty: A Case Study for the Natural Gas Market”, Resources Policy, 79, 103014.
  • Liu, N. et al. (2021), “Dependence and Risk Spillovers between Green Bonds and Clean Energy Markets”, Journal of Cleaner Production, 279, 123595.
  • Martiradonna, M. et al. (2023), “The Beneficial Role of Green Bonds as A New Strategic Asset Class: Dynamic Dependencies, Allocation and Diversification Before and During the Pandemic Era”, Energy Economics, 120, 106587.
  • Mensi, W. et al. (2022), “Spillovers and Connectedness Between Green Bond and Stock Markets in Bearish and Bullish Market Scenarios”, Finance Research Letters, 49, 103120.
  • Monasterolo, I. & M. Raberto (2018) “The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds”, Ecological Economics, 144, 228-243.
  • Naeem, M.A. et al. (2021), “Asymmetric Spillovers Between Green Bonds and Commodities”, Journal of Cleaner Production, 314, 128100.
  • Pesaran, M.H. & Y. Shin (1999), “An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis”, in: S. Strom (ed.), Econometrics and Economic Theory in the 20th Century (371-413), New York: Cambridge University Press.
  • Pesaran, M.H. et al. (2001), “Bounds Testing Approaches to the Analysis of Level Relationships”, Journal of Applied Econometrics, 16(3), 289-326.
  • Pham, L. (2021), “Frequency Connectedness and Cross-Quantile Dependence between Green Bond and Green Equity Markets”, Energy Economics, 98, 105257.
  • Pham, L. & C.P. Nguyen (2022), “How Do Stock, Oil, and Economic Policy Uncertainty Influence the Green Bond Market?”, Finance Research Letters, 45, 102128.
  • Phillips, P C. & P. Perron (1988), “Testing for a Unit Root in a Time Series Regression”, Biometrika, 75(2), 335-346.
  • Reboredo, J.C. et al. (2017), “Wavelet-Based Test of Co-Movement and Causality between Oil and Renewable Energy Stock Prices”, Energy Economics, 61, 241-252.
  • Reboredo, J.C. (2018), “Green Bond and Financial Markets: Co-Movement, Diversification and Price Spillover Effects”, Energy Economics, 74, 38-50.
  • Sarker, P.K. et al. (2023), “Asymmetric Effects of Climate Policy Uncertainty, Geopolitical Risk, and Crude Oil Prices on Clean Energy Prices”, Environmental Science and Pollution Research, 30, 15797-15807.
  • Shin, Y. et al. (2014), “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework”, in: R.C. Sickles & W.C. Horrace (eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (281-314), New York: Springer.
  • Sinha, A. et al. (2021), “Does Green Financing Help to Improve Environmental & Social Responsibility? Designing SDG Framework through Advanced Quantile Modelling”, Journal of Environmental Management, 292, 112751.
  • Sohag, K. et al. (2022), “Do Geopolitical Events Transmit Opportunity or Threat to Green Markets? Decomposed Measures of Geopolitical Risks”, Energy Economics, 111, 106068.
  • Su, T. et al. (2022), “Green Bonds and Conventional Financial Markets in China: A Tale of Three Transmission Modes”, Energy Economics, 113, 106200.
  • Tan, X. et al. (2022), “Green Bonds and Corporate Performance: A Potential Way to Achieve Green Recovery”, Renewable Energy, 200, 59-68.
  • Tang, Y. et al. (2023), “Asymmetric Effects of Geopolitical Risks and Uncertainties on Green Bond Markets”, Technological Forecasting and Social Change, 189, 122348.
  • Tian, H. et al. (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.
  • Tiryaki, A. et al. (2019), “Asymmetric Effects of Industrial Production, Money Supply and Exchange Rate Changes on Stock Returns in Turkey”, Applied Economics, 51 (20), 2143-2154.
  • Tiwari, A.K. et al. (2023), “What Do We Know About the Price Spillover between Green Bonds and Islamic Stocks and Stock Market Indices?”, Global Finance Journal, 55, 100794.
  • Wu, R. & B. Liu (2023), “Do Climate Policy Uncertainty and Investor Sentiment Drive the Dynamic Spillovers among Green Finance Markets?”, Journal of Environmental Management, 347, 119008.
  • Yadav, M.P. et al. (2023), “Volatility Spillover of Green Bond with Renewable Energy and Crypto Market”, Renewable Energy, 212, 928-939.
  • Yousaf, I. et al. (2024), “Dynamic Spillovers and Connectedness between Crude Oil and Green Bond Markets”, Resources Policy, 89, 104594.
  • Zhang, D. et al. (2023), “Implications of Cryptocurrency Energy Usage on Climate Change”, Technological Forecasting and Social Change, 187, 122219.
  • Zhao, M. & H. Park (2024), “Quantile Time-Frequency Spillovers among Green Bonds, Cryptocurrencies, and Conventional Financial Markets”, International Review of Financial Analysis, 93, 103198.

Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market

Yıl 2025, Cilt: 33 Sayı: 65, 49 - 71, 17.07.2025
https://doi.org/10.17233/sosyoekonomi.2025.03.03

Öz

This paper examines the asymmetric effects of geopolitical risk, climate policy uncertainty, and crude oil prices on returns and realised volatility in the US green bond market. Using the nonlinear autoregressive distributed lag (NARDL) method on monthly data from January 2010 to August 2023, this paper provides evidence that, in the long run, a decline in geopolitical risk and climate policy uncertainty is associated with an increase in green bond returns. Additionally, the returns and realised volatility of green bonds are positively influenced by increased crude oil prices and the long-term fluctuations in crude oil prices. The findings of this paper offer valuable insights for making informed green investment decisions, considering the asymmetric impacts of geopolitical risks, climate policy uncertainty, and fluctuations in crude oil prices.

Kaynakça

  • Adekoya, O.B. et al. (2023), “Factors Behind the Performance of Green Bond Markets”, International Review of Economics & Finance, 88, 92-106.
  • Andersen, T.G. & T. Bollerslev (1998), “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts”, International Economic Review, 39(4), 885-905.
  • Arif, M. et al. (2022), “Diversifier or More? Hedge and Safe Haven Properties of Green Bonds During COVID-19”, Energy Policy, 168, 113102.
  • Baker, S. et al. (2020), “The Unprecedented Stock Market Reaction to COVID-19”, The Review of Asset Pricing Studies, 10(4), 742-758.
  • Caldara, D. & M. Iacoviello (2022), “Measuring Geopolitical Risk”, American Economic Review, 112(4), 1194-1225.
  • Dickey, D.A. & W.A. Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366), 427-431.
  • Dutta, A. & P. Dutta (2022), “Geopolitical Risk and Renewable Energy Asset Prices: Implications for Sustainable Development”, Renewable Energy, 196, 518-525.
  • Elsayed, A.H. et al. (2022), “Dependence Structure and Dynamic Connectedness between Green Bonds and Financial Markets: Fresh Insights from Time-Frequency Analysis Before and During COVID-19 Pandemic”, Energy Economics, 107, 105842.
  • Ferrer, R. et al. (2021), “Are Green Bonds a Different Asset Class? Evidence from Time-Frequency Connectedness Analysis”, Journal of Cleaner Production, 292, 125988.
  • Gao, Y. et al. (2021), “Risk Spillover and Network Connectedness Analysis of China's Green Bond and Financial Markets: Evidence from Financial Events of 2015-2020”, The North American Journal of Economics and Finance, 57, 101386.
  • Gavriilidis, K. (2021), “Measuring Climate Policy Uncertainty”, SSRN, 3847388.
  • Gong, C. et al. (2020), “Assessment of Natural Gas Supply Security in Asia Pacific: Composite Indicators with Compromise Benefit-of-the-Doubt Weights”, Resources Policy, 67, 101671.
  • Hammoudeh, S. et al. (2020), “Relationship between Green Bonds and Financial and Environmental Variables: A Novel Time-Varying Causality”, Energy Economics, 92, 104941.
  • Hung, N.T. (2021), “Green Bonds and Asset Classes: New Evidence from Time-varying Copula and Transfer Entropy Models”, Global Business Review, 104095.
  • Kanamura, T. (2020), “Are Green Bonds Environmentally Friendly and Good Performing Assets?”, Energy Economics, 88, 104767.
  • Kuchtyak, M. & E. Bruce (2022), Sustainable Bonds to Hit Record $1.35 Trillion in 2022, <https://dkf1ato8y5dsg.cloudfront.net/uploads/52/504/esg.pdf>, 30.03.2024.
  • Lee, C. et al. (2022), “The Roles of Oil Shocks and Geopolitical Uncertainties on China’s Green Bond Returns”, Economic Analysis and Policy, 74, 494-505.
  • Liu, F. et al. (2024), “Geopolitical Risk: An Opportunity or a Threat to the Green Bond Market?”, Energy Economics, 131, 107391.
  • Liu, G. et al. (2022), “Dynamic Risks from Climate Policy Uncertainty: A Case Study for the Natural Gas Market”, Resources Policy, 79, 103014.
  • Liu, N. et al. (2021), “Dependence and Risk Spillovers between Green Bonds and Clean Energy Markets”, Journal of Cleaner Production, 279, 123595.
  • Martiradonna, M. et al. (2023), “The Beneficial Role of Green Bonds as A New Strategic Asset Class: Dynamic Dependencies, Allocation and Diversification Before and During the Pandemic Era”, Energy Economics, 120, 106587.
  • Mensi, W. et al. (2022), “Spillovers and Connectedness Between Green Bond and Stock Markets in Bearish and Bullish Market Scenarios”, Finance Research Letters, 49, 103120.
  • Monasterolo, I. & M. Raberto (2018) “The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds”, Ecological Economics, 144, 228-243.
  • Naeem, M.A. et al. (2021), “Asymmetric Spillovers Between Green Bonds and Commodities”, Journal of Cleaner Production, 314, 128100.
  • Pesaran, M.H. & Y. Shin (1999), “An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis”, in: S. Strom (ed.), Econometrics and Economic Theory in the 20th Century (371-413), New York: Cambridge University Press.
  • Pesaran, M.H. et al. (2001), “Bounds Testing Approaches to the Analysis of Level Relationships”, Journal of Applied Econometrics, 16(3), 289-326.
  • Pham, L. (2021), “Frequency Connectedness and Cross-Quantile Dependence between Green Bond and Green Equity Markets”, Energy Economics, 98, 105257.
  • Pham, L. & C.P. Nguyen (2022), “How Do Stock, Oil, and Economic Policy Uncertainty Influence the Green Bond Market?”, Finance Research Letters, 45, 102128.
  • Phillips, P C. & P. Perron (1988), “Testing for a Unit Root in a Time Series Regression”, Biometrika, 75(2), 335-346.
  • Reboredo, J.C. et al. (2017), “Wavelet-Based Test of Co-Movement and Causality between Oil and Renewable Energy Stock Prices”, Energy Economics, 61, 241-252.
  • Reboredo, J.C. (2018), “Green Bond and Financial Markets: Co-Movement, Diversification and Price Spillover Effects”, Energy Economics, 74, 38-50.
  • Sarker, P.K. et al. (2023), “Asymmetric Effects of Climate Policy Uncertainty, Geopolitical Risk, and Crude Oil Prices on Clean Energy Prices”, Environmental Science and Pollution Research, 30, 15797-15807.
  • Shin, Y. et al. (2014), “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework”, in: R.C. Sickles & W.C. Horrace (eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (281-314), New York: Springer.
  • Sinha, A. et al. (2021), “Does Green Financing Help to Improve Environmental & Social Responsibility? Designing SDG Framework through Advanced Quantile Modelling”, Journal of Environmental Management, 292, 112751.
  • Sohag, K. et al. (2022), “Do Geopolitical Events Transmit Opportunity or Threat to Green Markets? Decomposed Measures of Geopolitical Risks”, Energy Economics, 111, 106068.
  • Su, T. et al. (2022), “Green Bonds and Conventional Financial Markets in China: A Tale of Three Transmission Modes”, Energy Economics, 113, 106200.
  • Tan, X. et al. (2022), “Green Bonds and Corporate Performance: A Potential Way to Achieve Green Recovery”, Renewable Energy, 200, 59-68.
  • Tang, Y. et al. (2023), “Asymmetric Effects of Geopolitical Risks and Uncertainties on Green Bond Markets”, Technological Forecasting and Social Change, 189, 122348.
  • Tian, H. et al. (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.
  • Tiryaki, A. et al. (2019), “Asymmetric Effects of Industrial Production, Money Supply and Exchange Rate Changes on Stock Returns in Turkey”, Applied Economics, 51 (20), 2143-2154.
  • Tiwari, A.K. et al. (2023), “What Do We Know About the Price Spillover between Green Bonds and Islamic Stocks and Stock Market Indices?”, Global Finance Journal, 55, 100794.
  • Wu, R. & B. Liu (2023), “Do Climate Policy Uncertainty and Investor Sentiment Drive the Dynamic Spillovers among Green Finance Markets?”, Journal of Environmental Management, 347, 119008.
  • Yadav, M.P. et al. (2023), “Volatility Spillover of Green Bond with Renewable Energy and Crypto Market”, Renewable Energy, 212, 928-939.
  • Yousaf, I. et al. (2024), “Dynamic Spillovers and Connectedness between Crude Oil and Green Bond Markets”, Resources Policy, 89, 104594.
  • Zhang, D. et al. (2023), “Implications of Cryptocurrency Energy Usage on Climate Change”, Technological Forecasting and Social Change, 187, 122219.
  • Zhao, M. & H. Park (2024), “Quantile Time-Frequency Spillovers among Green Bonds, Cryptocurrencies, and Conventional Financial Markets”, International Review of Financial Analysis, 93, 103198.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sermaye Piyasaları
Bölüm Makaleler
Yazarlar

Arifenur Güngör 0000-0003-1293-7303

Erken Görünüm Tarihi 8 Temmuz 2025
Yayımlanma Tarihi 17 Temmuz 2025
Gönderilme Tarihi 8 Ağustos 2024
Kabul Tarihi 24 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 33 Sayı: 65

Kaynak Göster

APA Güngör, A. (2025). Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market. Sosyoekonomi, 33(65), 49-71. https://doi.org/10.17233/sosyoekonomi.2025.03.03
AMA Güngör A. Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market. Sosyoekonomi. Temmuz 2025;33(65):49-71. doi:10.17233/sosyoekonomi.2025.03.03
Chicago Güngör, Arifenur. “Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market”. Sosyoekonomi 33, sy. 65 (Temmuz 2025): 49-71. https://doi.org/10.17233/sosyoekonomi.2025.03.03.
EndNote Güngör A (01 Temmuz 2025) Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market. Sosyoekonomi 33 65 49–71.
IEEE A. Güngör, “Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market”, Sosyoekonomi, c. 33, sy. 65, ss. 49–71, 2025, doi: 10.17233/sosyoekonomi.2025.03.03.
ISNAD Güngör, Arifenur. “Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market”. Sosyoekonomi 33/65 (Temmuz2025), 49-71. https://doi.org/10.17233/sosyoekonomi.2025.03.03.
JAMA Güngör A. Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market. Sosyoekonomi. 2025;33:49–71.
MLA Güngör, Arifenur. “Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market”. Sosyoekonomi, c. 33, sy. 65, 2025, ss. 49-71, doi:10.17233/sosyoekonomi.2025.03.03.
Vancouver Güngör A. Asymmetric Effects of Geopolitical Risk, Climate Policy Uncertainty, and Crude Oil Prices on the US Green Bond Market. Sosyoekonomi. 2025;33(65):49-71.