Araştırma Makalesi
BibTex RIS Kaynak Göster

YEŞİL TAHVİLLER İLE HİSSE SENEDİ, TAHVİL, EMTİA VE KRİPTO PİYASALARI ARASINDAKİ BAĞLANTILAR: DALGACIK TUTARLILIĞI YAKLAŞIMI

Yıl 2026, Sayı: 73, 16 - 33, 02.03.2026
https://doi.org/10.30794/pausbed.1794799
https://izlik.org/JA93PW35MS

Öz

Küresel ölçekte sürdürülebilir finans araçlarının önemi artarken, yeşil tahvillerin geleneksel finansal piyasalarla olan etkileşimlerinin anlaşılması gerek akademik literatür gerekse piyasa aktörleri açısından kritik hale gelmiştir. Bu çalışma, 2 Mart 2015-10 Şubat 2025 dönemi kapsamında, küresel yeşil tahvil piyasası ile finansala piyasalar (hisse senedi, geleneksel tahvil, emtia, karbon yoğun enerji kripto para piyasaları) arasındaki bağlantıları incelemektedir. Analizde, piyasalar arasındaki ilişkiler zaman ve frekans boyutlarını eşanlı olarak yakalayabilen dalgacık tutarlılığı yöntemiyle analiz edilmiştir. Elde edilen sonuçlar, farklı zaman dilimlerinde ve frekanslarda yeşil tahvil ile finansal piyasalar arasındaki genel görünümün pozitif yönlü olduğunu ortaya koymaktadır. Ayrıca çoğu durumda finansal piyasaların yeşil tahvillere öncülük ettiği belirlenmiştir. Bununla birlikte, yeşil tahvillerin hisse senedi ve geleneksel tahvil piyasalarıyla daha güçlü bir bağlantı içerisinde olduğu, buna karşın emtia, karbon yoğun enerji ve kripto para piyasalarıyla ilişkilerin daha zayıf kaldığı tespit edilmiştir. Bu bulgular, sürdürülebilir portföy stratejileri tasarlayan yatırımcılar, risk yönetimi modelleri geliştiren finansal kurumlar ve yeşil finans politikalarını şekillendiren düzenleyici otoriteler açısından önemli çıkarımlar sunmaktadır.

Kaynakça

  • Acikgöz, T., Gökten, S., & Soylu, A. B. (2024). Multifractal detrended cross-correlations between green bonds and commodity markets: An exploration of the complex connections between green finance and commodities from the econophysics perspective. Fractal and Fractional, 8(2), 117. https://doi.org/10.3390/fractalfract8020117
  • Adebayo, T. S., Ağa, M., & Kartal, M. T. (2023). Analyzing the co-movement between CO₂ emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: Evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30, 38921–38938. https://doi.org/10.1007/s11356-022-24707-w
  • Aguiar-Conraria, L., & Soares, M. J. (2011). Oil and the macroeconomy: Using wavelets to analyze old issues. Empirical Economics, 40, 645–655. https://doi.org/10.1007/s00181-010-0371-x
  • Aladağ, E. (2024). The nexus between air pollution and the COVID-19 pandemic in Turkey: Further insights from wavelet coherence analysis. Aerosol Science and Engineering 8, 108–119. https://doi.org/10.1007/s41810-023-00209-1
  • Almaskati, N. (2022). Oil and GCC foreign exchange forward markets: A wavelet analysis. Borsa İstanbul Review, 22(5), 1039–1044. https://doi.org/10.1016/j.bir.2022.06.008
  • Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421–431. https://doi.org/10.1016/j.econmod.2013.09.043
  • Arif, M., Naeem, M. A., Farid, S., Nepal, R., & Jamasb, T. (2022). Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19. Energy Policy, 168, 113102. https://doi.org/10.1016/j.enpol.2022.113102
  • Aydoğdu, A., & Uyar, U. (2025). Enerji ve kıymetli metal piyasaları arasında yayılım etkisi: Wavelet uyum analizine dayalı DCC-GARCH yaklaşımı. Sosyoekonomi, 33(64), 557–585. https://doi.org/10.17233/sosyoekonomi.2025.02.24
  • Dong, X., Xiong, Y., Nie, S., & Yoon, S. M. (2023). Can bonds hedge stock market risks? Green bonds vs. conventional bonds. Finance Research Letters, 52, 103367. https://doi.org/10.1016/j.frl.2022.103367
  • Ejaz, R., Ashraf, S., Hassan, A., & Gupta, A. (2022). An empirical investigation of market risk, dependence structure, and portfolio management between green bonds and international financial markets. Journal of Cleaner Production, 365, 132666. https://doi.org/10.1016/j.jclepro.2022.132666
  • Funashima, Y. (2017). Time-varying leads and lags across frequencies using a continuous wavelet transform approach. Economic Modelling, 60, 24–28. https://doi.org/10.1016/j.econmod.2016.08.024
  • Gao, Y., Li, Y., & Wang, Y. (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. https://doi.org/10.1016/j.najef.2021.101386
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85–102. https://doi.org/10.1016/0016-7142(84)90025-5
  • Gök, R., Şenol, Z., Durgun, B., & Bouri, E. (2025). Green bonds and financial markets: Interdependence across different market situations. Journal of Environmental Management, 373, 123408. https://doi.org/10.1016/j.jenvman.2024.123408
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hammoudeh, S., Ajmi, A. N., & Mokni, K. (2020). Relationship between green bonds and financial and environmental variables: A novel time-varying causality. Energy Economics, 92, 104941. https://doi.org/10.1016/j.eneco.2020.104941
  • Hao, Y., & Zhou, Y. (2025). Green bond issuance premium effect and investor incentive effect. Finance Research Letters, 108042. https://doi.org/10.1016/j.frl.2025.108042
  • Haq, I. U., Maneengam, A., Chupradit, S., & Huo, C. (2023). Are green bonds and sustainable cryptocurrencies truly sustainable? Evidence from a wavelet coherence analysis. Economic Research - Ekonomska Istraživanja, 36(1), 807- 826. https://doi.org/10.1080/1331677X.2022.2080739
  • He, X., & Shi, J. (2023). The effect of air pollution on Chinese green bond market: The mediation role of public concern. Journal of Environmental Management, 325(Part B), 116522. https://doi.org/10.1016/j.jenvman.2022.116522
  • He, X., Xu, Z., & Shi, J. (2024). Air pollution levels enhance green bond investment: Green preference and environmental perception thresholds. Journal of Environmental Planning and Management, 1–23. https://doi.org/10.1080/09640568.2024.2342347
  • Jiang, Y., Wang, J., Ao, Z., & Wang, Y. (2022). The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches. Economic Modelling, 116, 106038. https://doi.org/10.1016/j.econmod.2022.106038
  • Kanamura, T. (2020). Are green bonds environmentally friendly and good performing assets? Energy Economics, 88, 104767. https://doi.org/10.1016/j.eneco.2020.104767
  • Karim, S., Lucey, B. M., Naeem, M. A., & Yarovaya, L. (2024). Extreme risk dependence between green bonds and financial markets. European Financial Management, 30(2), 935–960. https://doi.org/10.1111/eufm.12458
  • Kazak, H., Saiti, B., Kılıç, C., Akcan, A. T., & Karataş, A. R. (2024). Impact of global risk factors on the Islamic stock market: New evidence from wavelet analysis. Computational Economics. https://doi.org/10.1007/s10614-024-10665-7
  • Kılıç, Y., Destek, M. A., Çevik, E. I., Bugan, M. F., Korkmaz, O., & Dibooglu, S. (2022). Return and risk spillovers between the ESG global index and stock markets: Evidence from time and frequency analysis. Borsa İstanbul Review, 22(S2), 141–156. https://doi.org/10.1016/j.bir.2022.11.015
  • Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PLoS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923
  • Kırıkkaleli, D., & Özün, A. (2019). Co-movement of political risk and sovereign credit risk: A wavelet coherence analysis for Argentina, Brazil, and Venezuela. Social Science Quarterly, 100, 2094–2114. https://doi.org/10.1111/ssqu.12709
  • Laborda, J., & Sanchez-Guerra, A. (2021). Green bond finance in Europe and the stock market reaction. Studies of Applied Economics, 39(3). https://doi.org/10.25115/eea.v39i3.4125
  • Le, T. L., Abakah, E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the Fourth Industrial Revolution. Technological Forecasting and Social Change, 162, 120382. https://doi.org/10.1016/j.techfore.2020.120382
  • Lepori, G. M. (2009). Environmental stressors, mood, and trading decisions: Evidence from ambient air pollution. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1284549
  • Levy, T., & Yagil, J. (2011). Air pollution and stock returns in the US. Journal of Economic Psychology, 32(3), 374–383. https://doi.org/10.1016/j.joep.2011.01.004
  • Liu, N., & Liu, C. (2020). Co-movement and lead–lag relationship between green bonds and renewable energy stock markets: Fresh evidence from the wavelet-based approach. Research Square. https://doi.org/10.21203/rs.3.rs-105937/v1
  • Martiradonna, M., Romagnoli, S., & Santini, A. (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. https://doi.org/10.1016/j.eneco.2023.106587
  • Meng, A., & Clements, L. (2025). Green debt market passes $3 trillion milestone. London Stock Exchange Group (LSEG). https://www.lseg.com/en/insights/green-debt-market-passes-3-trillion-milestone (Accessed January 23, 2026).
  • Mezghani, T., Ben Hamadou, F., & Boujelbene-Abbes, M. (2025). Network connectedness and portfolio hedging of green bonds, stock markets and commodities. International Journal of Emerging Markets, 20(5), 2154–2181. https://doi.org/10.1108/IJOEM-02-2023-0160
  • Mohammed, K. S., Bouri, E., Hunjra, A. I., Tedeschi, M., & Yan, Y. (2024). The heterogeneous reaction of green and conventional bonds to exogenous shocks and the hedging implications. Journal of Environmental Management, 364, 121423. https://doi.org/10.1016/j.jenvman.2024.121423
  • Naeem, M. A., Farid, S., Ferrer, R., & Shahzad, S. J. H. (2021). Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis. Energy Policy, 153, 112285. https://doi.org/10.1016/j.enpol.2021.112285
  • Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.frl.2020.101739
  • Panwar, K., Yadav, M. P., & Puri, N. (2025). Spillover effect of green bond with metal and bullion market. Asia-Pacific Financial Markets, 32, 118. https://doi.org/10.1007/s10690-023-09443-6
  • Park, D., Park, J., & Ryu, D. (2020). Volatility spillovers between equity and green bond markets. Sustainability, 12(9), 3722. https://doi.org/10.3390/su12093722
  • Pastor, L., Stambaugh, R. F., & Taylor, L. A. (2021). Sustainable investing in equilibrium. Journal of Financial Economics, 142(2), 550–571. https://doi.org/10.1016/j.jfineco.2020.12.011
  • Pham, L. (2021). Frequency connectedness and cross-quantile dependence between green bond and green equity markets. Energy Economics, 98, 105257. https://doi.org/10.1016/j.eneco.2021.105257
  • Pineiro-Chousa, J., Lopez-Cabarcos, M. A., & Ribeiro-Soriano, D. (2020). Does investor attention influence water companies’ stock returns? Technological Forecasting and Social Change, 158, 120115. https://doi.org/10.1016/j.techfore.2020.120115
  • Reboredo, J. C. (2018). Green bond and financial markets: Co-movement, diversification and price spillover effects. Energy Economics, 74, 38–50. https://doi.org/10.1016/j.eneco.2018.05.030
  • Reboredo, J. C., & Ugolini, A. (2020). Price connectedness between green bond and financial markets. Economic Modelling, 88, 25–38. https://doi.org/10.1016/j.econmod.2019.09.004
  • Reboredo, J. C., Ugolini, A., & Ojea-Ferreiro, J. (2022). Do green bonds de-risk investment in low-carbon stocks? Economic Modelling, 108, 105765. https://doi.org/10.1016/j.econmod.2022.105765
  • Rösch, A., & Schmidbauer, H. (2018). WaveletComp 1.1: A guided tour through the R package. http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf
  • Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16, 632–639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sartzetakis, E. S. (2021). Green bonds as an instrument to finance low carbon transition. Economic Change and Restructuring, 54(3), 755–779. https://doi.org/10.1007/s10644-020-09266-9
  • Sheenan, L. (2023). Green bonds, conventional bonds and geopolitical risk. Finance Research Letters, 58, 104587. https://doi.org/10.1016/j.frl.2023.104587
  • Statman, M., Thorley, S., & Vorkink, K. (2006). Investor overconfidence and trading volume. The Review of Financial Studies, 19(4), 1531–1565. https://doi.org/10.1093/rfs/hhj032
  • Symeonidis, L., Daskalakis, G., & Markellos, R. N. (2010). Does the weather affect stock market volatility? Finance Research Letters, 7(4), 214–223. https://doi.org/10.1016/j.frl.2010.05.004
  • Su, X., Guo, D., & Dai, L. (2023). Do green bond and green stock markets boom and bust together? Evidence from China. International Review of Financial Analysis, 89, 102744. https://doi.org/10.1016/j.irfa.2023.102744
  • Teng, M., & He, X. (2020). Air quality levels, environmental awareness and investor trading behavior: Evidence from stock market in China. Journal of Cleaner Production, 244, 118663. https://doi.org/10.1016/j.jclepro.2019.118663
  • Tiwari, A. K., Abakah, E. J. A., Yaya, O. Y., & Appiah, K. O. (2023). Tail risk dependence, co-movement and predictability between green bond and green stocks. Applied Economics, 55(2), 201–222. https://doi.org/10.1080/00036846.2022.2085869
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61 - 78. https://doi.org/10.1175/15200477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679–2690. https://doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34, 241–247. https://doi.org/10.1016/j.eneco.2011.10.007
  • Wang, X., Ye, Q., Zhao, F., & Kou, Y. (2018). Investor sentiment and the Chinese index futures market: Evidence from the internet search. The Journal of Futures Markets, 38(4), 468–477. https://doi.org/10.1002/fut.21893
  • Wang, J., Chen, X., Li, X., Yu, J., & Zhong, R. (2020). The market reaction to green bond issuance: Evidence from China. Pacific - Basin Finance Journal, 60, 101294. https://doi.org/10.1016/j.pacfin.2020.101294
  • Yadav, M. P., Pandey, A., Taghizadeh-Hesary, F., Arya, V., & Mishra, N. (2023). Volatility spillover of green bond with renewable energy and crypto market. Renewable Energy, 212, 928–939. https://doi.org/10.1016/j.renene.2023.05.056
  • Yeow, K. E., & Ng, S.-H. (2021). The impact of green bonds on corporate environmental and financial performance. Managerial Finance, 47(10), 1486–1510. https://doi.org/10.1108/MF-09-2020-0481
  • Yousaf, I., Mensi, W., Vo, X. V., & Kang, S. H. (2024). Dynamic spillovers and connectedness between crude oil and green bond markets. Resources Policy, 89, 104594. https://doi.org/10.1016/j.resourpol.2023.104594
  • Zhao, M., & Park, H. (2024). Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets. International Review of Financial Analysis, 93, 103198. https://doi.org/10.1016/j.irfa.2024.103198

LINKAGES BETWEEN GREEN BONDS AND STOCK, BOND, COMMODITY, AND CRYPTOCURRENCY MARKETS: A WAVELET COHERENCE APPROACH

Yıl 2026, Sayı: 73, 16 - 33, 02.03.2026
https://doi.org/10.30794/pausbed.1794799
https://izlik.org/JA93PW35MS

Öz

As the importance of sustainable finance instruments increases on a global scale, understanding the interactions between green bonds and traditional financial markets has become critical for both academic literature and market participants. This study investigates the linkages between the global green bond market and financial markets (equities, conventional bonds, commodities, carbon-intensive energy, and cryptocurrencies) over the period from March 2, 2015 to February 10, 2025. The analysis employs the wavelet coherence method, which enables the simultaneous capture of relationships across both time and frequency domains. The results indicate that the overall relationship between green bonds and financial markets is predominantly positive across different horizons and frequencies. Moreover, in most cases, we find that financial markets lead green bonds. However, while green bonds exhibit stronger connections with equity and conventional bond markets, their linkages with commodities, carbon-intensive energy, and cryptocurrency markets are relatively weaker. These findings provide important implications for investors designing sustainable portfolio strategies, financial institutions developing risk management models, and regulatory authorities shaping green finance policies.

Kaynakça

  • Acikgöz, T., Gökten, S., & Soylu, A. B. (2024). Multifractal detrended cross-correlations between green bonds and commodity markets: An exploration of the complex connections between green finance and commodities from the econophysics perspective. Fractal and Fractional, 8(2), 117. https://doi.org/10.3390/fractalfract8020117
  • Adebayo, T. S., Ağa, M., & Kartal, M. T. (2023). Analyzing the co-movement between CO₂ emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: Evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30, 38921–38938. https://doi.org/10.1007/s11356-022-24707-w
  • Aguiar-Conraria, L., & Soares, M. J. (2011). Oil and the macroeconomy: Using wavelets to analyze old issues. Empirical Economics, 40, 645–655. https://doi.org/10.1007/s00181-010-0371-x
  • Aladağ, E. (2024). The nexus between air pollution and the COVID-19 pandemic in Turkey: Further insights from wavelet coherence analysis. Aerosol Science and Engineering 8, 108–119. https://doi.org/10.1007/s41810-023-00209-1
  • Almaskati, N. (2022). Oil and GCC foreign exchange forward markets: A wavelet analysis. Borsa İstanbul Review, 22(5), 1039–1044. https://doi.org/10.1016/j.bir.2022.06.008
  • Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421–431. https://doi.org/10.1016/j.econmod.2013.09.043
  • Arif, M., Naeem, M. A., Farid, S., Nepal, R., & Jamasb, T. (2022). Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19. Energy Policy, 168, 113102. https://doi.org/10.1016/j.enpol.2022.113102
  • Aydoğdu, A., & Uyar, U. (2025). Enerji ve kıymetli metal piyasaları arasında yayılım etkisi: Wavelet uyum analizine dayalı DCC-GARCH yaklaşımı. Sosyoekonomi, 33(64), 557–585. https://doi.org/10.17233/sosyoekonomi.2025.02.24
  • Dong, X., Xiong, Y., Nie, S., & Yoon, S. M. (2023). Can bonds hedge stock market risks? Green bonds vs. conventional bonds. Finance Research Letters, 52, 103367. https://doi.org/10.1016/j.frl.2022.103367
  • Ejaz, R., Ashraf, S., Hassan, A., & Gupta, A. (2022). An empirical investigation of market risk, dependence structure, and portfolio management between green bonds and international financial markets. Journal of Cleaner Production, 365, 132666. https://doi.org/10.1016/j.jclepro.2022.132666
  • Funashima, Y. (2017). Time-varying leads and lags across frequencies using a continuous wavelet transform approach. Economic Modelling, 60, 24–28. https://doi.org/10.1016/j.econmod.2016.08.024
  • Gao, Y., Li, Y., & Wang, Y. (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. https://doi.org/10.1016/j.najef.2021.101386
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85–102. https://doi.org/10.1016/0016-7142(84)90025-5
  • Gök, R., Şenol, Z., Durgun, B., & Bouri, E. (2025). Green bonds and financial markets: Interdependence across different market situations. Journal of Environmental Management, 373, 123408. https://doi.org/10.1016/j.jenvman.2024.123408
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hammoudeh, S., Ajmi, A. N., & Mokni, K. (2020). Relationship between green bonds and financial and environmental variables: A novel time-varying causality. Energy Economics, 92, 104941. https://doi.org/10.1016/j.eneco.2020.104941
  • Hao, Y., & Zhou, Y. (2025). Green bond issuance premium effect and investor incentive effect. Finance Research Letters, 108042. https://doi.org/10.1016/j.frl.2025.108042
  • Haq, I. U., Maneengam, A., Chupradit, S., & Huo, C. (2023). Are green bonds and sustainable cryptocurrencies truly sustainable? Evidence from a wavelet coherence analysis. Economic Research - Ekonomska Istraživanja, 36(1), 807- 826. https://doi.org/10.1080/1331677X.2022.2080739
  • He, X., & Shi, J. (2023). The effect of air pollution on Chinese green bond market: The mediation role of public concern. Journal of Environmental Management, 325(Part B), 116522. https://doi.org/10.1016/j.jenvman.2022.116522
  • He, X., Xu, Z., & Shi, J. (2024). Air pollution levels enhance green bond investment: Green preference and environmental perception thresholds. Journal of Environmental Planning and Management, 1–23. https://doi.org/10.1080/09640568.2024.2342347
  • Jiang, Y., Wang, J., Ao, Z., & Wang, Y. (2022). The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches. Economic Modelling, 116, 106038. https://doi.org/10.1016/j.econmod.2022.106038
  • Kanamura, T. (2020). Are green bonds environmentally friendly and good performing assets? Energy Economics, 88, 104767. https://doi.org/10.1016/j.eneco.2020.104767
  • Karim, S., Lucey, B. M., Naeem, M. A., & Yarovaya, L. (2024). Extreme risk dependence between green bonds and financial markets. European Financial Management, 30(2), 935–960. https://doi.org/10.1111/eufm.12458
  • Kazak, H., Saiti, B., Kılıç, C., Akcan, A. T., & Karataş, A. R. (2024). Impact of global risk factors on the Islamic stock market: New evidence from wavelet analysis. Computational Economics. https://doi.org/10.1007/s10614-024-10665-7
  • Kılıç, Y., Destek, M. A., Çevik, E. I., Bugan, M. F., Korkmaz, O., & Dibooglu, S. (2022). Return and risk spillovers between the ESG global index and stock markets: Evidence from time and frequency analysis. Borsa İstanbul Review, 22(S2), 141–156. https://doi.org/10.1016/j.bir.2022.11.015
  • Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PLoS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923
  • Kırıkkaleli, D., & Özün, A. (2019). Co-movement of political risk and sovereign credit risk: A wavelet coherence analysis for Argentina, Brazil, and Venezuela. Social Science Quarterly, 100, 2094–2114. https://doi.org/10.1111/ssqu.12709
  • Laborda, J., & Sanchez-Guerra, A. (2021). Green bond finance in Europe and the stock market reaction. Studies of Applied Economics, 39(3). https://doi.org/10.25115/eea.v39i3.4125
  • Le, T. L., Abakah, E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the Fourth Industrial Revolution. Technological Forecasting and Social Change, 162, 120382. https://doi.org/10.1016/j.techfore.2020.120382
  • Lepori, G. M. (2009). Environmental stressors, mood, and trading decisions: Evidence from ambient air pollution. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1284549
  • Levy, T., & Yagil, J. (2011). Air pollution and stock returns in the US. Journal of Economic Psychology, 32(3), 374–383. https://doi.org/10.1016/j.joep.2011.01.004
  • Liu, N., & Liu, C. (2020). Co-movement and lead–lag relationship between green bonds and renewable energy stock markets: Fresh evidence from the wavelet-based approach. Research Square. https://doi.org/10.21203/rs.3.rs-105937/v1
  • Martiradonna, M., Romagnoli, S., & Santini, A. (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. https://doi.org/10.1016/j.eneco.2023.106587
  • Meng, A., & Clements, L. (2025). Green debt market passes $3 trillion milestone. London Stock Exchange Group (LSEG). https://www.lseg.com/en/insights/green-debt-market-passes-3-trillion-milestone (Accessed January 23, 2026).
  • Mezghani, T., Ben Hamadou, F., & Boujelbene-Abbes, M. (2025). Network connectedness and portfolio hedging of green bonds, stock markets and commodities. International Journal of Emerging Markets, 20(5), 2154–2181. https://doi.org/10.1108/IJOEM-02-2023-0160
  • Mohammed, K. S., Bouri, E., Hunjra, A. I., Tedeschi, M., & Yan, Y. (2024). The heterogeneous reaction of green and conventional bonds to exogenous shocks and the hedging implications. Journal of Environmental Management, 364, 121423. https://doi.org/10.1016/j.jenvman.2024.121423
  • Naeem, M. A., Farid, S., Ferrer, R., & Shahzad, S. J. H. (2021). Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis. Energy Policy, 153, 112285. https://doi.org/10.1016/j.enpol.2021.112285
  • Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.frl.2020.101739
  • Panwar, K., Yadav, M. P., & Puri, N. (2025). Spillover effect of green bond with metal and bullion market. Asia-Pacific Financial Markets, 32, 118. https://doi.org/10.1007/s10690-023-09443-6
  • Park, D., Park, J., & Ryu, D. (2020). Volatility spillovers between equity and green bond markets. Sustainability, 12(9), 3722. https://doi.org/10.3390/su12093722
  • Pastor, L., Stambaugh, R. F., & Taylor, L. A. (2021). Sustainable investing in equilibrium. Journal of Financial Economics, 142(2), 550–571. https://doi.org/10.1016/j.jfineco.2020.12.011
  • Pham, L. (2021). Frequency connectedness and cross-quantile dependence between green bond and green equity markets. Energy Economics, 98, 105257. https://doi.org/10.1016/j.eneco.2021.105257
  • Pineiro-Chousa, J., Lopez-Cabarcos, M. A., & Ribeiro-Soriano, D. (2020). Does investor attention influence water companies’ stock returns? Technological Forecasting and Social Change, 158, 120115. https://doi.org/10.1016/j.techfore.2020.120115
  • Reboredo, J. C. (2018). Green bond and financial markets: Co-movement, diversification and price spillover effects. Energy Economics, 74, 38–50. https://doi.org/10.1016/j.eneco.2018.05.030
  • Reboredo, J. C., & Ugolini, A. (2020). Price connectedness between green bond and financial markets. Economic Modelling, 88, 25–38. https://doi.org/10.1016/j.econmod.2019.09.004
  • Reboredo, J. C., Ugolini, A., & Ojea-Ferreiro, J. (2022). Do green bonds de-risk investment in low-carbon stocks? Economic Modelling, 108, 105765. https://doi.org/10.1016/j.econmod.2022.105765
  • Rösch, A., & Schmidbauer, H. (2018). WaveletComp 1.1: A guided tour through the R package. http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf
  • Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16, 632–639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sartzetakis, E. S. (2021). Green bonds as an instrument to finance low carbon transition. Economic Change and Restructuring, 54(3), 755–779. https://doi.org/10.1007/s10644-020-09266-9
  • Sheenan, L. (2023). Green bonds, conventional bonds and geopolitical risk. Finance Research Letters, 58, 104587. https://doi.org/10.1016/j.frl.2023.104587
  • Statman, M., Thorley, S., & Vorkink, K. (2006). Investor overconfidence and trading volume. The Review of Financial Studies, 19(4), 1531–1565. https://doi.org/10.1093/rfs/hhj032
  • Symeonidis, L., Daskalakis, G., & Markellos, R. N. (2010). Does the weather affect stock market volatility? Finance Research Letters, 7(4), 214–223. https://doi.org/10.1016/j.frl.2010.05.004
  • Su, X., Guo, D., & Dai, L. (2023). Do green bond and green stock markets boom and bust together? Evidence from China. International Review of Financial Analysis, 89, 102744. https://doi.org/10.1016/j.irfa.2023.102744
  • Teng, M., & He, X. (2020). Air quality levels, environmental awareness and investor trading behavior: Evidence from stock market in China. Journal of Cleaner Production, 244, 118663. https://doi.org/10.1016/j.jclepro.2019.118663
  • Tiwari, A. K., Abakah, E. J. A., Yaya, O. Y., & Appiah, K. O. (2023). Tail risk dependence, co-movement and predictability between green bond and green stocks. Applied Economics, 55(2), 201–222. https://doi.org/10.1080/00036846.2022.2085869
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61 - 78. https://doi.org/10.1175/15200477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679–2690. https://doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34, 241–247. https://doi.org/10.1016/j.eneco.2011.10.007
  • Wang, X., Ye, Q., Zhao, F., & Kou, Y. (2018). Investor sentiment and the Chinese index futures market: Evidence from the internet search. The Journal of Futures Markets, 38(4), 468–477. https://doi.org/10.1002/fut.21893
  • Wang, J., Chen, X., Li, X., Yu, J., & Zhong, R. (2020). The market reaction to green bond issuance: Evidence from China. Pacific - Basin Finance Journal, 60, 101294. https://doi.org/10.1016/j.pacfin.2020.101294
  • Yadav, M. P., Pandey, A., Taghizadeh-Hesary, F., Arya, V., & Mishra, N. (2023). Volatility spillover of green bond with renewable energy and crypto market. Renewable Energy, 212, 928–939. https://doi.org/10.1016/j.renene.2023.05.056
  • Yeow, K. E., & Ng, S.-H. (2021). The impact of green bonds on corporate environmental and financial performance. Managerial Finance, 47(10), 1486–1510. https://doi.org/10.1108/MF-09-2020-0481
  • Yousaf, I., Mensi, W., Vo, X. V., & Kang, S. H. (2024). Dynamic spillovers and connectedness between crude oil and green bond markets. Resources Policy, 89, 104594. https://doi.org/10.1016/j.resourpol.2023.104594
  • Zhao, M., & Park, H. (2024). Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets. International Review of Financial Analysis, 93, 103198. https://doi.org/10.1016/j.irfa.2024.103198

Yıl 2026, Sayı: 73, 16 - 33, 02.03.2026
https://doi.org/10.30794/pausbed.1794799
https://izlik.org/JA93PW35MS

Öz

Kaynakça

  • Acikgöz, T., Gökten, S., & Soylu, A. B. (2024). Multifractal detrended cross-correlations between green bonds and commodity markets: An exploration of the complex connections between green finance and commodities from the econophysics perspective. Fractal and Fractional, 8(2), 117. https://doi.org/10.3390/fractalfract8020117
  • Adebayo, T. S., Ağa, M., & Kartal, M. T. (2023). Analyzing the co-movement between CO₂ emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: Evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30, 38921–38938. https://doi.org/10.1007/s11356-022-24707-w
  • Aguiar-Conraria, L., & Soares, M. J. (2011). Oil and the macroeconomy: Using wavelets to analyze old issues. Empirical Economics, 40, 645–655. https://doi.org/10.1007/s00181-010-0371-x
  • Aladağ, E. (2024). The nexus between air pollution and the COVID-19 pandemic in Turkey: Further insights from wavelet coherence analysis. Aerosol Science and Engineering 8, 108–119. https://doi.org/10.1007/s41810-023-00209-1
  • Almaskati, N. (2022). Oil and GCC foreign exchange forward markets: A wavelet analysis. Borsa İstanbul Review, 22(5), 1039–1044. https://doi.org/10.1016/j.bir.2022.06.008
  • Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421–431. https://doi.org/10.1016/j.econmod.2013.09.043
  • Arif, M., Naeem, M. A., Farid, S., Nepal, R., & Jamasb, T. (2022). Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19. Energy Policy, 168, 113102. https://doi.org/10.1016/j.enpol.2022.113102
  • Aydoğdu, A., & Uyar, U. (2025). Enerji ve kıymetli metal piyasaları arasında yayılım etkisi: Wavelet uyum analizine dayalı DCC-GARCH yaklaşımı. Sosyoekonomi, 33(64), 557–585. https://doi.org/10.17233/sosyoekonomi.2025.02.24
  • Dong, X., Xiong, Y., Nie, S., & Yoon, S. M. (2023). Can bonds hedge stock market risks? Green bonds vs. conventional bonds. Finance Research Letters, 52, 103367. https://doi.org/10.1016/j.frl.2022.103367
  • Ejaz, R., Ashraf, S., Hassan, A., & Gupta, A. (2022). An empirical investigation of market risk, dependence structure, and portfolio management between green bonds and international financial markets. Journal of Cleaner Production, 365, 132666. https://doi.org/10.1016/j.jclepro.2022.132666
  • Funashima, Y. (2017). Time-varying leads and lags across frequencies using a continuous wavelet transform approach. Economic Modelling, 60, 24–28. https://doi.org/10.1016/j.econmod.2016.08.024
  • Gao, Y., Li, Y., & Wang, Y. (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. https://doi.org/10.1016/j.najef.2021.101386
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85–102. https://doi.org/10.1016/0016-7142(84)90025-5
  • Gök, R., Şenol, Z., Durgun, B., & Bouri, E. (2025). Green bonds and financial markets: Interdependence across different market situations. Journal of Environmental Management, 373, 123408. https://doi.org/10.1016/j.jenvman.2024.123408
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hammoudeh, S., Ajmi, A. N., & Mokni, K. (2020). Relationship between green bonds and financial and environmental variables: A novel time-varying causality. Energy Economics, 92, 104941. https://doi.org/10.1016/j.eneco.2020.104941
  • Hao, Y., & Zhou, Y. (2025). Green bond issuance premium effect and investor incentive effect. Finance Research Letters, 108042. https://doi.org/10.1016/j.frl.2025.108042
  • Haq, I. U., Maneengam, A., Chupradit, S., & Huo, C. (2023). Are green bonds and sustainable cryptocurrencies truly sustainable? Evidence from a wavelet coherence analysis. Economic Research - Ekonomska Istraživanja, 36(1), 807- 826. https://doi.org/10.1080/1331677X.2022.2080739
  • He, X., & Shi, J. (2023). The effect of air pollution on Chinese green bond market: The mediation role of public concern. Journal of Environmental Management, 325(Part B), 116522. https://doi.org/10.1016/j.jenvman.2022.116522
  • He, X., Xu, Z., & Shi, J. (2024). Air pollution levels enhance green bond investment: Green preference and environmental perception thresholds. Journal of Environmental Planning and Management, 1–23. https://doi.org/10.1080/09640568.2024.2342347
  • Jiang, Y., Wang, J., Ao, Z., & Wang, Y. (2022). The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches. Economic Modelling, 116, 106038. https://doi.org/10.1016/j.econmod.2022.106038
  • Kanamura, T. (2020). Are green bonds environmentally friendly and good performing assets? Energy Economics, 88, 104767. https://doi.org/10.1016/j.eneco.2020.104767
  • Karim, S., Lucey, B. M., Naeem, M. A., & Yarovaya, L. (2024). Extreme risk dependence between green bonds and financial markets. European Financial Management, 30(2), 935–960. https://doi.org/10.1111/eufm.12458
  • Kazak, H., Saiti, B., Kılıç, C., Akcan, A. T., & Karataş, A. R. (2024). Impact of global risk factors on the Islamic stock market: New evidence from wavelet analysis. Computational Economics. https://doi.org/10.1007/s10614-024-10665-7
  • Kılıç, Y., Destek, M. A., Çevik, E. I., Bugan, M. F., Korkmaz, O., & Dibooglu, S. (2022). Return and risk spillovers between the ESG global index and stock markets: Evidence from time and frequency analysis. Borsa İstanbul Review, 22(S2), 141–156. https://doi.org/10.1016/j.bir.2022.11.015
  • Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PLoS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923
  • Kırıkkaleli, D., & Özün, A. (2019). Co-movement of political risk and sovereign credit risk: A wavelet coherence analysis for Argentina, Brazil, and Venezuela. Social Science Quarterly, 100, 2094–2114. https://doi.org/10.1111/ssqu.12709
  • Laborda, J., & Sanchez-Guerra, A. (2021). Green bond finance in Europe and the stock market reaction. Studies of Applied Economics, 39(3). https://doi.org/10.25115/eea.v39i3.4125
  • Le, T. L., Abakah, E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the Fourth Industrial Revolution. Technological Forecasting and Social Change, 162, 120382. https://doi.org/10.1016/j.techfore.2020.120382
  • Lepori, G. M. (2009). Environmental stressors, mood, and trading decisions: Evidence from ambient air pollution. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1284549
  • Levy, T., & Yagil, J. (2011). Air pollution and stock returns in the US. Journal of Economic Psychology, 32(3), 374–383. https://doi.org/10.1016/j.joep.2011.01.004
  • Liu, N., & Liu, C. (2020). Co-movement and lead–lag relationship between green bonds and renewable energy stock markets: Fresh evidence from the wavelet-based approach. Research Square. https://doi.org/10.21203/rs.3.rs-105937/v1
  • Martiradonna, M., Romagnoli, S., & Santini, A. (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. https://doi.org/10.1016/j.eneco.2023.106587
  • Meng, A., & Clements, L. (2025). Green debt market passes $3 trillion milestone. London Stock Exchange Group (LSEG). https://www.lseg.com/en/insights/green-debt-market-passes-3-trillion-milestone (Accessed January 23, 2026).
  • Mezghani, T., Ben Hamadou, F., & Boujelbene-Abbes, M. (2025). Network connectedness and portfolio hedging of green bonds, stock markets and commodities. International Journal of Emerging Markets, 20(5), 2154–2181. https://doi.org/10.1108/IJOEM-02-2023-0160
  • Mohammed, K. S., Bouri, E., Hunjra, A. I., Tedeschi, M., & Yan, Y. (2024). The heterogeneous reaction of green and conventional bonds to exogenous shocks and the hedging implications. Journal of Environmental Management, 364, 121423. https://doi.org/10.1016/j.jenvman.2024.121423
  • Naeem, M. A., Farid, S., Ferrer, R., & Shahzad, S. J. H. (2021). Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis. Energy Policy, 153, 112285. https://doi.org/10.1016/j.enpol.2021.112285
  • Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.frl.2020.101739
  • Panwar, K., Yadav, M. P., & Puri, N. (2025). Spillover effect of green bond with metal and bullion market. Asia-Pacific Financial Markets, 32, 118. https://doi.org/10.1007/s10690-023-09443-6
  • Park, D., Park, J., & Ryu, D. (2020). Volatility spillovers between equity and green bond markets. Sustainability, 12(9), 3722. https://doi.org/10.3390/su12093722
  • Pastor, L., Stambaugh, R. F., & Taylor, L. A. (2021). Sustainable investing in equilibrium. Journal of Financial Economics, 142(2), 550–571. https://doi.org/10.1016/j.jfineco.2020.12.011
  • Pham, L. (2021). Frequency connectedness and cross-quantile dependence between green bond and green equity markets. Energy Economics, 98, 105257. https://doi.org/10.1016/j.eneco.2021.105257
  • Pineiro-Chousa, J., Lopez-Cabarcos, M. A., & Ribeiro-Soriano, D. (2020). Does investor attention influence water companies’ stock returns? Technological Forecasting and Social Change, 158, 120115. https://doi.org/10.1016/j.techfore.2020.120115
  • Reboredo, J. C. (2018). Green bond and financial markets: Co-movement, diversification and price spillover effects. Energy Economics, 74, 38–50. https://doi.org/10.1016/j.eneco.2018.05.030
  • Reboredo, J. C., & Ugolini, A. (2020). Price connectedness between green bond and financial markets. Economic Modelling, 88, 25–38. https://doi.org/10.1016/j.econmod.2019.09.004
  • Reboredo, J. C., Ugolini, A., & Ojea-Ferreiro, J. (2022). Do green bonds de-risk investment in low-carbon stocks? Economic Modelling, 108, 105765. https://doi.org/10.1016/j.econmod.2022.105765
  • Rösch, A., & Schmidbauer, H. (2018). WaveletComp 1.1: A guided tour through the R package. http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf
  • Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16, 632–639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sartzetakis, E. S. (2021). Green bonds as an instrument to finance low carbon transition. Economic Change and Restructuring, 54(3), 755–779. https://doi.org/10.1007/s10644-020-09266-9
  • Sheenan, L. (2023). Green bonds, conventional bonds and geopolitical risk. Finance Research Letters, 58, 104587. https://doi.org/10.1016/j.frl.2023.104587
  • Statman, M., Thorley, S., & Vorkink, K. (2006). Investor overconfidence and trading volume. The Review of Financial Studies, 19(4), 1531–1565. https://doi.org/10.1093/rfs/hhj032
  • Symeonidis, L., Daskalakis, G., & Markellos, R. N. (2010). Does the weather affect stock market volatility? Finance Research Letters, 7(4), 214–223. https://doi.org/10.1016/j.frl.2010.05.004
  • Su, X., Guo, D., & Dai, L. (2023). Do green bond and green stock markets boom and bust together? Evidence from China. International Review of Financial Analysis, 89, 102744. https://doi.org/10.1016/j.irfa.2023.102744
  • Teng, M., & He, X. (2020). Air quality levels, environmental awareness and investor trading behavior: Evidence from stock market in China. Journal of Cleaner Production, 244, 118663. https://doi.org/10.1016/j.jclepro.2019.118663
  • Tiwari, A. K., Abakah, E. J. A., Yaya, O. Y., & Appiah, K. O. (2023). Tail risk dependence, co-movement and predictability between green bond and green stocks. Applied Economics, 55(2), 201–222. https://doi.org/10.1080/00036846.2022.2085869
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61 - 78. https://doi.org/10.1175/15200477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679–2690. https://doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34, 241–247. https://doi.org/10.1016/j.eneco.2011.10.007
  • Wang, X., Ye, Q., Zhao, F., & Kou, Y. (2018). Investor sentiment and the Chinese index futures market: Evidence from the internet search. The Journal of Futures Markets, 38(4), 468–477. https://doi.org/10.1002/fut.21893
  • Wang, J., Chen, X., Li, X., Yu, J., & Zhong, R. (2020). The market reaction to green bond issuance: Evidence from China. Pacific - Basin Finance Journal, 60, 101294. https://doi.org/10.1016/j.pacfin.2020.101294
  • Yadav, M. P., Pandey, A., Taghizadeh-Hesary, F., Arya, V., & Mishra, N. (2023). Volatility spillover of green bond with renewable energy and crypto market. Renewable Energy, 212, 928–939. https://doi.org/10.1016/j.renene.2023.05.056
  • Yeow, K. E., & Ng, S.-H. (2021). The impact of green bonds on corporate environmental and financial performance. Managerial Finance, 47(10), 1486–1510. https://doi.org/10.1108/MF-09-2020-0481
  • Yousaf, I., Mensi, W., Vo, X. V., & Kang, S. H. (2024). Dynamic spillovers and connectedness between crude oil and green bond markets. Resources Policy, 89, 104594. https://doi.org/10.1016/j.resourpol.2023.104594
  • Zhao, M., & Park, H. (2024). Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets. International Review of Financial Analysis, 93, 103198. https://doi.org/10.1016/j.irfa.2024.103198

Yıl 2026, Sayı: 73, 16 - 33, 02.03.2026
https://doi.org/10.30794/pausbed.1794799
https://izlik.org/JA93PW35MS

Öz

Kaynakça

  • Acikgöz, T., Gökten, S., & Soylu, A. B. (2024). Multifractal detrended cross-correlations between green bonds and commodity markets: An exploration of the complex connections between green finance and commodities from the econophysics perspective. Fractal and Fractional, 8(2), 117. https://doi.org/10.3390/fractalfract8020117
  • Adebayo, T. S., Ağa, M., & Kartal, M. T. (2023). Analyzing the co-movement between CO₂ emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: Evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30, 38921–38938. https://doi.org/10.1007/s11356-022-24707-w
  • Aguiar-Conraria, L., & Soares, M. J. (2011). Oil and the macroeconomy: Using wavelets to analyze old issues. Empirical Economics, 40, 645–655. https://doi.org/10.1007/s00181-010-0371-x
  • Aladağ, E. (2024). The nexus between air pollution and the COVID-19 pandemic in Turkey: Further insights from wavelet coherence analysis. Aerosol Science and Engineering 8, 108–119. https://doi.org/10.1007/s41810-023-00209-1
  • Almaskati, N. (2022). Oil and GCC foreign exchange forward markets: A wavelet analysis. Borsa İstanbul Review, 22(5), 1039–1044. https://doi.org/10.1016/j.bir.2022.06.008
  • Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421–431. https://doi.org/10.1016/j.econmod.2013.09.043
  • Arif, M., Naeem, M. A., Farid, S., Nepal, R., & Jamasb, T. (2022). Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19. Energy Policy, 168, 113102. https://doi.org/10.1016/j.enpol.2022.113102
  • Aydoğdu, A., & Uyar, U. (2025). Enerji ve kıymetli metal piyasaları arasında yayılım etkisi: Wavelet uyum analizine dayalı DCC-GARCH yaklaşımı. Sosyoekonomi, 33(64), 557–585. https://doi.org/10.17233/sosyoekonomi.2025.02.24
  • Dong, X., Xiong, Y., Nie, S., & Yoon, S. M. (2023). Can bonds hedge stock market risks? Green bonds vs. conventional bonds. Finance Research Letters, 52, 103367. https://doi.org/10.1016/j.frl.2022.103367
  • Ejaz, R., Ashraf, S., Hassan, A., & Gupta, A. (2022). An empirical investigation of market risk, dependence structure, and portfolio management between green bonds and international financial markets. Journal of Cleaner Production, 365, 132666. https://doi.org/10.1016/j.jclepro.2022.132666
  • Funashima, Y. (2017). Time-varying leads and lags across frequencies using a continuous wavelet transform approach. Economic Modelling, 60, 24–28. https://doi.org/10.1016/j.econmod.2016.08.024
  • Gao, Y., Li, Y., & Wang, Y. (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. https://doi.org/10.1016/j.najef.2021.101386
  • Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85–102. https://doi.org/10.1016/0016-7142(84)90025-5
  • Gök, R., Şenol, Z., Durgun, B., & Bouri, E. (2025). Green bonds and financial markets: Interdependence across different market situations. Journal of Environmental Management, 373, 123408. https://doi.org/10.1016/j.jenvman.2024.123408
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hammoudeh, S., Ajmi, A. N., & Mokni, K. (2020). Relationship between green bonds and financial and environmental variables: A novel time-varying causality. Energy Economics, 92, 104941. https://doi.org/10.1016/j.eneco.2020.104941
  • Hao, Y., & Zhou, Y. (2025). Green bond issuance premium effect and investor incentive effect. Finance Research Letters, 108042. https://doi.org/10.1016/j.frl.2025.108042
  • Haq, I. U., Maneengam, A., Chupradit, S., & Huo, C. (2023). Are green bonds and sustainable cryptocurrencies truly sustainable? Evidence from a wavelet coherence analysis. Economic Research - Ekonomska Istraživanja, 36(1), 807- 826. https://doi.org/10.1080/1331677X.2022.2080739
  • He, X., & Shi, J. (2023). The effect of air pollution on Chinese green bond market: The mediation role of public concern. Journal of Environmental Management, 325(Part B), 116522. https://doi.org/10.1016/j.jenvman.2022.116522
  • He, X., Xu, Z., & Shi, J. (2024). Air pollution levels enhance green bond investment: Green preference and environmental perception thresholds. Journal of Environmental Planning and Management, 1–23. https://doi.org/10.1080/09640568.2024.2342347
  • Jiang, Y., Wang, J., Ao, Z., & Wang, Y. (2022). The relationship between green bonds and conventional financial markets: Evidence from quantile-on-quantile and quantile coherence approaches. Economic Modelling, 116, 106038. https://doi.org/10.1016/j.econmod.2022.106038
  • Kanamura, T. (2020). Are green bonds environmentally friendly and good performing assets? Energy Economics, 88, 104767. https://doi.org/10.1016/j.eneco.2020.104767
  • Karim, S., Lucey, B. M., Naeem, M. A., & Yarovaya, L. (2024). Extreme risk dependence between green bonds and financial markets. European Financial Management, 30(2), 935–960. https://doi.org/10.1111/eufm.12458
  • Kazak, H., Saiti, B., Kılıç, C., Akcan, A. T., & Karataş, A. R. (2024). Impact of global risk factors on the Islamic stock market: New evidence from wavelet analysis. Computational Economics. https://doi.org/10.1007/s10614-024-10665-7
  • Kılıç, Y., Destek, M. A., Çevik, E. I., Bugan, M. F., Korkmaz, O., & Dibooglu, S. (2022). Return and risk spillovers between the ESG global index and stock markets: Evidence from time and frequency analysis. Borsa İstanbul Review, 22(S2), 141–156. https://doi.org/10.1016/j.bir.2022.11.015
  • Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PLoS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923
  • Kırıkkaleli, D., & Özün, A. (2019). Co-movement of political risk and sovereign credit risk: A wavelet coherence analysis for Argentina, Brazil, and Venezuela. Social Science Quarterly, 100, 2094–2114. https://doi.org/10.1111/ssqu.12709
  • Laborda, J., & Sanchez-Guerra, A. (2021). Green bond finance in Europe and the stock market reaction. Studies of Applied Economics, 39(3). https://doi.org/10.25115/eea.v39i3.4125
  • Le, T. L., Abakah, E. J. A., & Tiwari, A. K. (2021). Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the Fourth Industrial Revolution. Technological Forecasting and Social Change, 162, 120382. https://doi.org/10.1016/j.techfore.2020.120382
  • Lepori, G. M. (2009). Environmental stressors, mood, and trading decisions: Evidence from ambient air pollution. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1284549
  • Levy, T., & Yagil, J. (2011). Air pollution and stock returns in the US. Journal of Economic Psychology, 32(3), 374–383. https://doi.org/10.1016/j.joep.2011.01.004
  • Liu, N., & Liu, C. (2020). Co-movement and lead–lag relationship between green bonds and renewable energy stock markets: Fresh evidence from the wavelet-based approach. Research Square. https://doi.org/10.21203/rs.3.rs-105937/v1
  • Martiradonna, M., Romagnoli, S., & Santini, A. (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. https://doi.org/10.1016/j.eneco.2023.106587
  • Meng, A., & Clements, L. (2025). Green debt market passes $3 trillion milestone. London Stock Exchange Group (LSEG). https://www.lseg.com/en/insights/green-debt-market-passes-3-trillion-milestone (Accessed January 23, 2026).
  • Mezghani, T., Ben Hamadou, F., & Boujelbene-Abbes, M. (2025). Network connectedness and portfolio hedging of green bonds, stock markets and commodities. International Journal of Emerging Markets, 20(5), 2154–2181. https://doi.org/10.1108/IJOEM-02-2023-0160
  • Mohammed, K. S., Bouri, E., Hunjra, A. I., Tedeschi, M., & Yan, Y. (2024). The heterogeneous reaction of green and conventional bonds to exogenous shocks and the hedging implications. Journal of Environmental Management, 364, 121423. https://doi.org/10.1016/j.jenvman.2024.121423
  • Naeem, M. A., Farid, S., Ferrer, R., & Shahzad, S. J. H. (2021). Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis. Energy Policy, 153, 112285. https://doi.org/10.1016/j.enpol.2021.112285
  • Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.frl.2020.101739
  • Panwar, K., Yadav, M. P., & Puri, N. (2025). Spillover effect of green bond with metal and bullion market. Asia-Pacific Financial Markets, 32, 118. https://doi.org/10.1007/s10690-023-09443-6
  • Park, D., Park, J., & Ryu, D. (2020). Volatility spillovers between equity and green bond markets. Sustainability, 12(9), 3722. https://doi.org/10.3390/su12093722
  • Pastor, L., Stambaugh, R. F., & Taylor, L. A. (2021). Sustainable investing in equilibrium. Journal of Financial Economics, 142(2), 550–571. https://doi.org/10.1016/j.jfineco.2020.12.011
  • Pham, L. (2021). Frequency connectedness and cross-quantile dependence between green bond and green equity markets. Energy Economics, 98, 105257. https://doi.org/10.1016/j.eneco.2021.105257
  • Pineiro-Chousa, J., Lopez-Cabarcos, M. A., & Ribeiro-Soriano, D. (2020). Does investor attention influence water companies’ stock returns? Technological Forecasting and Social Change, 158, 120115. https://doi.org/10.1016/j.techfore.2020.120115
  • Reboredo, J. C. (2018). Green bond and financial markets: Co-movement, diversification and price spillover effects. Energy Economics, 74, 38–50. https://doi.org/10.1016/j.eneco.2018.05.030
  • Reboredo, J. C., & Ugolini, A. (2020). Price connectedness between green bond and financial markets. Economic Modelling, 88, 25–38. https://doi.org/10.1016/j.econmod.2019.09.004
  • Reboredo, J. C., Ugolini, A., & Ojea-Ferreiro, J. (2022). Do green bonds de-risk investment in low-carbon stocks? Economic Modelling, 108, 105765. https://doi.org/10.1016/j.econmod.2022.105765
  • Rösch, A., & Schmidbauer, H. (2018). WaveletComp 1.1: A guided tour through the R package. http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf
  • Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16, 632–639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sartzetakis, E. S. (2021). Green bonds as an instrument to finance low carbon transition. Economic Change and Restructuring, 54(3), 755–779. https://doi.org/10.1007/s10644-020-09266-9
  • Sheenan, L. (2023). Green bonds, conventional bonds and geopolitical risk. Finance Research Letters, 58, 104587. https://doi.org/10.1016/j.frl.2023.104587
  • Statman, M., Thorley, S., & Vorkink, K. (2006). Investor overconfidence and trading volume. The Review of Financial Studies, 19(4), 1531–1565. https://doi.org/10.1093/rfs/hhj032
  • Symeonidis, L., Daskalakis, G., & Markellos, R. N. (2010). Does the weather affect stock market volatility? Finance Research Letters, 7(4), 214–223. https://doi.org/10.1016/j.frl.2010.05.004
  • Su, X., Guo, D., & Dai, L. (2023). Do green bond and green stock markets boom and bust together? Evidence from China. International Review of Financial Analysis, 89, 102744. https://doi.org/10.1016/j.irfa.2023.102744
  • Teng, M., & He, X. (2020). Air quality levels, environmental awareness and investor trading behavior: Evidence from stock market in China. Journal of Cleaner Production, 244, 118663. https://doi.org/10.1016/j.jclepro.2019.118663
  • Tiwari, A. K., Abakah, E. J. A., Yaya, O. Y., & Appiah, K. O. (2023). Tail risk dependence, co-movement and predictability between green bond and green stocks. Applied Economics, 55(2), 201–222. https://doi.org/10.1080/00036846.2022.2085869
  • Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61 - 78. https://doi.org/10.1175/15200477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679–2690. https://doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34, 241–247. https://doi.org/10.1016/j.eneco.2011.10.007
  • Wang, X., Ye, Q., Zhao, F., & Kou, Y. (2018). Investor sentiment and the Chinese index futures market: Evidence from the internet search. The Journal of Futures Markets, 38(4), 468–477. https://doi.org/10.1002/fut.21893
  • Wang, J., Chen, X., Li, X., Yu, J., & Zhong, R. (2020). The market reaction to green bond issuance: Evidence from China. Pacific - Basin Finance Journal, 60, 101294. https://doi.org/10.1016/j.pacfin.2020.101294
  • Yadav, M. P., Pandey, A., Taghizadeh-Hesary, F., Arya, V., & Mishra, N. (2023). Volatility spillover of green bond with renewable energy and crypto market. Renewable Energy, 212, 928–939. https://doi.org/10.1016/j.renene.2023.05.056
  • Yeow, K. E., & Ng, S.-H. (2021). The impact of green bonds on corporate environmental and financial performance. Managerial Finance, 47(10), 1486–1510. https://doi.org/10.1108/MF-09-2020-0481
  • Yousaf, I., Mensi, W., Vo, X. V., & Kang, S. H. (2024). Dynamic spillovers and connectedness between crude oil and green bond markets. Resources Policy, 89, 104594. https://doi.org/10.1016/j.resourpol.2023.104594
  • Zhao, M., & Park, H. (2024). Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets. International Review of Financial Analysis, 93, 103198. https://doi.org/10.1016/j.irfa.2024.103198
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonometri (Diğer), Yeşil Ekonomi
Bölüm Araştırma Makalesi
Yazarlar

Aydın Gürbüz 0000-0002-2428-2327

Burak Büyükoğlu 0000-0002-1174-3112

Gönderilme Tarihi 1 Ekim 2025
Kabul Tarihi 23 Ocak 2026
Yayımlanma Tarihi 2 Mart 2026
DOI https://doi.org/10.30794/pausbed.1794799
IZ https://izlik.org/JA93PW35MS
Yayımlandığı Sayı Yıl 2026 Sayı: 73

Kaynak Göster

APA Gürbüz, A., & Büyükoğlu, B. (2026). YEŞİL TAHVİLLER İLE HİSSE SENEDİ, TAHVİL, EMTİA VE KRİPTO PİYASALARI ARASINDAKİ BAĞLANTILAR: DALGACIK TUTARLILIĞI YAKLAŞIMI. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 73, 16-33. https://doi.org/10.30794/pausbed.1794799


by-nc-nd.eu.svg  Bu dergide yer alan çalışmalar Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır.