Neuro quantum-inspired decision-making for investor perception in green and conventional bond investments
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DOIhttp://dx.doi.org/10.21511/imfi.21(1).2024.14
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Article InfoVolume 21 2024, Issue #1, pp. 168-184
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The purpose of this study is to make a comprehensive analysis of investor perceptions in the context of green and conventional bond investments. For this purpose, a new model is presented by considering two steps. First, a criteria set is generated by considering balanced scorecard perspectives that are finance, customer, organizational effectiveness and learning and growth. After that, the neuro Quantum fuzzy M-SWARA method is considered to weight these criteria. Secondly, seven critical determinants for bond investments are identified that are coupon rates, volume, maturity, riskiness, liquidity, volatility, and tax considerations. Neuro Quantum fuzzy TOPSIS approach is employed to rank these factors. The main contribution of the study is that by combining the balanced scorecard framework and quantum-inspired decision-making techniques, this paper offers a novel and sophisticated decision-making model to understanding investor behavior. Similarly, in the proposed model, a new methodology is generated by the name of M-SWARA. In this framework, some enhancements are adopted to the SWARA technique. The weighting results indicate that meeting customer expectations is the most critical factor that affects the investor perception to make investments to the bonds. Moreover, according to the ranking results, it is concluded that coupon rates are the most important item for both conventional and green bond investors. On the other hand, with respect to the conventional bond investor, tax is the second most essential factor. However, regarding the green bond investors, volatility plays a critical role.
Acknowledgment
This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (№ AP 19679105 “Transformation of ESG financial instruments in the context of the development of the green economy of the Republic of Kazakhstan”).
- Keywords
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JEL Classification (Paper profile tab)D25, E22, G11
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References40
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Tables15
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Figures3
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- Figure 1. The flowchart
- Figure 2. Criteria weights
- Figure 3. Comparative ranking results
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- Table 1. Selected criteria for the investor perception
- Table 2. Emotional expressions and action unit combinations
- Table 3. Observation results of facial expressions for the relation degrees
- Table 4. Aggregated QFNS values
- Table 5. Defuzzified values
- Table 6. Normalized relation matrix
- Table 7. Sj, kj, qj, and wj values
- Table 8. Relation matrix and the impact directions
- Table 9. Stable matrix
- Table 10. Observation results of facial expressions for the decision degrees
- Table 11. Aggregated values
- Table 12. Defuzzified values of the decision matrix
- Table 13. Normalized decision matrix
- Table 14. Weighted decision matrix
- Table 15. Ranking investor perceptions
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- Abakah, E. J. A., Tiwari, A. K., Adekoya, O. B., & Oteng-Abayie, E. F. (2023). An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices. Technological Forecasting and Social Change, 186, 122134.
- Alsmadi, A. A., Al-Okaily, M., Alrawashdeh, N., Al-Gasaymeh, A., Moh’d Al-hazimeh, A., & Zakari, A. (2023). A bibliometric analysis of green bonds and sustainable green energy: evidence from the last fifteen years (2007–2022). Sustainability, 15(7), 5778.
- Azhgaliyeva, D., Kapsalyamova, Z., & Mishra, R. (2022). Oil price shocks and green bonds: An empirical evidence. Energy Economics, 112, 106108.
- Baker, M., Bergstresser, D., Serafeim, G., & Wurgler, J. (2022). The pricing and ownership of US green bonds. Annual Review of Financial Economics, 14, 415-437.
- Bhutta, U. S., Tariq, A., Farrukh, M., Raza, A., & Iqbal, M. K. (2022). Green bonds for sustainable development: Review of literature on development and impact of green bonds. Technological Forecasting and Social Change, 175, 121378.
- Chang, L., Moldir, M., Zhang, Y., & Nazar, R. (2023). Asymmetric impact of green bonds on energy efficiency: fresh evidence from quantile estimation. Utilities Policy, 80, 101474.
- Chang, L., Taghizadeh-Hesary, F., Chen, H., & Mohsin, M. (2022). Do green bonds have environmental benefits? Energy Economics, 115, 106356.
- Cicchiello, A. F., Cotugno, M., Monferrà, S., & Perdichizzi, S. (2022). Which are the factors influencing green bonds issuance? Evidence from the European bonds market. Finance Research Letters, 50, 103190.
- Cui, T., Suleman, M. T., & Zhang, H. (2022). Do the green bonds overreact to the COVID-19 pandemic? Finance Research Letters, 49, 103095.
- Dinçer, H., Yüksel, S., Aksoy, T., & Hacıoğlu, Ü. (2022). Application of M-SWARA and TOPSIS methods in the evaluation of investment alternatives of microgeneration energy technologies. Sustainability, 14(10), 6271.
- Dong, W., Zhao, G., Yüksel, S., Dinçer, H., & Ubay, G. G. (2022). A novel hybrid decision making approach for the strategic selection of wind energy projects. Renewable Energy, 185, 321-337.
- 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.
- Elsayed, A. H., Naifar, N., Nasreen, S., & Tiwari, A. K. (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.
- Erdebilli, B., Gecer, E., Yılmaz, İ., Aksoy, T., Hacıoglu, U., Dinçer, H., & Yüksel, S. (2023). Q-ROF fuzzy TOPSIS and VIKOR methods for the selection of sustainable private health insurance policies. Sustainability, 15(12), 9229.
- Fernandes, L. H., Silva, J. W., de Araujo, F. H., & Tabak, B. M. (2023). Multifractal cross-correlations between green bonds and financial assets. Finance Research Letters, 53, 103603.
- Han, Y., & Li, J. (2022). Should investors include green bonds in their portfolios? Evidence for the USA and Europe. International Review of Financial Analysis, 80, 101998.
- 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.
- Karim, S., Naeem, M. A., Hu, M., Zhang, D., & Taghizadeh–Hesary, F. (2022). Determining dependence, centrality, and dynamic networks between green bonds and financial markets. Journal of Environmental Management, 318, 115618.
- Kayacık, M., Dinçer, H., & Yüksel, S. (2022). Using quantum spherical fuzzy decision support system as a novel sustainability index approach for analyzing industries listed in the stock exchange. Borsa Istanbul Review, 22(6), 1145-1157.
- Lin, L., & Hong, Y. (2022). Developing a green bonds market: lessons from China. European Business Organization Law Review, 23(1), 143-185.
- Mazina, A., Syzdykova, D., Myrzhykbayeva, A., Raikhanova, G., & Nurgaliyeva, A. M. (2022). Impact of green fiscal policy on investment efficiency of renewable energy enterprises in Kazakhstan. International Journal of Energy Economics and Policy, 12(5), 491-497.
- Mikhaylov, A., Dinçer, H., Yüksel, S., Pinter, G., & Shaikh, Z. A. (2023). Bitcoin mempool growth and trading volumes: Integrated approach based on QROF Multi-SWARA and aggregation operators. Journal of Innovation & Knowledge, 8(3), 100378.
- Naeem, M. A., Conlon, T., & Cotter, J. (2022). Green bonds and other assets: Evidence from extreme risk transmission. Journal of Environmental Management, 305, 114358.
- Naeem, M. A., Raza Rabbani, M., Karim, S., & Billah, S. M. (2023). Religion vs ethics: hedge and safe haven properties of Sukuk and green bonds for stock markets pre-and during COVID-19. International Journal of Islamic and Middle Eastern Finance and Management, 16(2), 234-252.
- Nurgaliyeva, A. M., Kazbekova, Z. S., Bokenchina, L. K., Bekniyazova, D., & Bokenchin, K. K. (2022). Opportunities for using green bonds to finance environmental projects in developing countries: Experience of the Republic of Kazakhstan. Journal of Environmental Management & Tourism, 13(7), 1918-1926.
- Rao, A., Gupta, M., Sharma, G. D., Mahendru, M., & Agrawal, A. (2022). Revisiting the financial market interdependence during COVID-19 times: a study of green bonds, cryptocurrency, commodities and other financial markets. International Journal of Managerial Finance, 18(4), 725-755.
- Reboredo, J. C., Ugolini, A., & Ojea-Ferreiro, J. (2022). Do green bonds de-risk investment in low-carbon stocks? Economic Modelling, 108, 105765.
- Ren, X., Li, Y., Wen, F., & Lu, Z. (2022). The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method. Technological Forecasting and Social Change, 179, 121611.
- Romero, A., León, J., & Arbeláez, P. (2022). Multi-view dynamic facial action unit detection. Image and Vision Computing, 122, 103723.
- Su, T., Zhang, Z. J., & Lin, B. (2022). Green bonds and conventional financial markets in China: A tale of three transmission modes. Energy Economics, 113, 106200.
- Syed, A. A., Ahmed, F., Kamal, M. A., Ullah, A., & Ramos-Requena, J. P. (2022). Is there an asymmetric relationship between economic policy uncertainty, cryptocurrencies, and global green bonds? Evidence from the United States of America. Mathematics, 10(5), 720.
- Tan, X., Dong, H., Liu, Y., Su, X., & Li, Z. (2022). Green bonds and corporate performance: A potential way to achieve green recovery. Renewable Energy, 200, 59-68.
- Teti, E., Baraglia, I., Dallocchio, M., & Mariani, G. (2022). The green bonds: Empirical evidence and implications for sustainability. Journal of Cleaner Production, 366, 132784.
- Thompson, B. S. (2022). Blue bonds for marine conservation and a sustainable ocean economy: Status, trends, and insights from green bonds. Marine Policy, 144, 105219.
- Umar, Z., Abrar, A., Hadhri, S., & Sokolova, T. (2023). The connectedness of oil shocks, green bonds, sukuks and conventional bonds. Energy Economics, 119, 106562.
- Wang, T., Liu, X., & Wang, H. (2022). Green bonds, financing constraints, and green innovation. Journal of Cleaner Production, 381, 135134.
- Ye, X., & Rasoulinezhad, E. (2023). Assessment of impacts of green bonds on renewable energy utilization efficiency. Renewable Energy, 202, 626-633.
- Yüksel, S., & Dinçer, H. (2023). Sustainability analysis of digital transformation and circular industrialization with quantum spherical fuzzy modeling and golden cuts. Applied Soft Computing, 138, 110192.
- Zhang, J., Yang, G., Ding, X., & Qin, J. (2022). Can green bonds empower green technology innovation of enterprises? Environmental Science and Pollution Research, 1-13.
- Zhao, L., Chau, K. Y., Tran, T. K., Sadiq, M., Xuyen, N. T. M., & Phan, T. T. H. (2022). Enhancing green economic recovery through green bonds financing and energy efficiency investments. Economic Analysis and Policy, 76, 488-501.