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Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China

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  • Yuanxin Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Changping, Beijing 102206, China)

  • FengYun Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xinhua Yu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jiahai Yuan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Dong Zhou

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

In recent years, new energy sources have ushered in tremendous opportunities for development. The difficulties to finance new energy enterprises (NEEs) can be estimated through issuing corporate bonds. However, there are few scientific and reasonable methods to assess the credit risk of NEE bonds, which is not conducive to the healthy development of NEEs. Based on this, this paper analyzes the advantages and risks of NEEs issuing bonds and the main factors affecting the credit risk of NEE bonds, constructs a hybrid model for assessing the credit risk of NEE bonds based on factor analysis and logistic regress analysis techniques, and verifies the applicability and effectiveness of the model employing relevant data from 46 Chinese NEEs. The results show that the main factors affecting the credit risk of NEE bonds are internal factors involving the company’s profitability, solvency, operational ability, growth potential, asset structure and viability, and external factors including macroeconomic environment and energy policy support. Based on the empirical results and the exact situation of China’s NEE bonds, this article finally puts forward several targeted recommendations.

Suggested Citation

  • Yuanxin Liu & FengYun Li & Xinhua Yu & Jiahai Yuan & Dong Zhou, 2018. "Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1457-:d:145006
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    as
    1. Nowak, Eric & Eisele, Alexander, 2017. "The Real Effects of Improving Access to Capital Markets Financing: Evidence from European SMEs," CEPR Discussion Papers 12227, C.E.P.R. Discussion Papers.
    2. Zinna, Gabriele, 2014. "Identifying risks in emerging market sovereign and corporate bond spreads," Emerging Markets Review, Elsevier, vol. 20(C), pages 1-22.
    3. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    4. Ferrando, Annalisa & Popov, Alexander & Udell, Gregory F., 2017. "Sovereign stress and SMEs’ access to finance: Evidence from the ECB's SAFE survey," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 65-80.
    5. Thiam Hee Ng, . "Bond Financing for Renewable Energy in Asia," Chapters, in: Shigeru Kimura & Youngho Chang & Yanfei Li (ed.), Financing Renewable Energy Development in East Asia Summit Countries A Primer of Effective Policy Instruments, chapter 11, pages 321-342, Economic Research Institute for ASEAN and East Asia (ERIA).
    6. Bertsch, Valentin & Hall, Margeret & Weinhardt, Christof & Fichtner, Wolf, 2016. "Public acceptance and preferences related to renewable energy and grid expansion policy: Empirical insights for Germany," Energy, Elsevier, vol. 114(C), pages 465-477.
    7. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    8. Livingston, Miles & Poon, Winnie P.H. & Zhou, Lei, 2018. "Are Chinese credit ratings relevant? A study of the Chinese bond market and credit rating industry," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 216-232.
    9. Ng, Thiam Hee & Tao, Jacqueline Yujia, 2016. "Bond financing for renewable energy in Asia," Energy Policy, Elsevier, vol. 95(C), pages 509-517.
    10. Raghav Dhawan & Fan Yu, 2015. "Are Credit Ratings Relevant in China’s Corporate Bond Market?," Chinese Economy, Taylor & Francis Journals, vol. 48(3), pages 235-250, May.
    11. Wei Huang & Agyenim Boateng & Alexander Newman, 2016. "Capital structure of Chinese listed SMEs: an agency theory perspective," Small Business Economics, Springer, vol. 47(2), pages 535-550, August.
    12. Bao, Jack & Hou, Kewei, 2017. "De Facto Seniority, Credit Risk, and Corporate Bond Prices," Working Paper Series 2017-17, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    13. Yao, Xiao & Crook, Jonathan & Andreeva, Galina, 2017. "Is it obligor or instrument that explains recovery rate: Evidence from US corporate bond," Journal of Financial Stability, Elsevier, vol. 28(C), pages 1-15.
    14. Michael Schwert, 2017. "Municipal Bond Liquidity and Default Risk," Journal of Finance, American Finance Association, vol. 72(4), pages 1683-1722, August.
    15. Rongda Chen & Liu Yang & Weijin Wang & Ling Tang, 2015. "Discovering the impact of systemic and idiosyncratic risk factors on credit spread of corporate bond within the framework of intelligent knowledge management," Annals of Operations Research, Springer, vol. 234(1), pages 3-15, November.
    16. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    17. Dominković, D.F. & Bačeković, I. & Ćosić, B. & Krajačić, G. & Pukšec, T. & Duić, N. & Markovska, N., 2016. "Zero carbon energy system of South East Europe in 2050," Applied Energy, Elsevier, vol. 184(C), pages 1517-1528.
    18. Schaefer, Stephen M. & Strebulaev, Ilya A., 2008. "Structural models of credit risk are useful: Evidence from hedge ratios on corporate bonds," Journal of Financial Economics, Elsevier, vol. 90(1), pages 1-19, October.
    19. Hasan, Iftekhar & Hoi, Chun Keung & Wu, Qiang & Zhang, Hao, 2017. "Social Capital and Debt Contracting: Evidence from Bank Loans and Public Bonds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(3), pages 1017-1047, June.
    20. Franke, Günter & Krahnen, Jan Pieter, 2017. "SME funding without banks? On the interplay of banks and markets," SAFE White Paper Series 44, Leibniz Institute for Financial Research SAFE.
    21. Maria Aluchna, 2016. "The Bermuda Triangle: The Interdependence of Social, Governance and Environmental Challenges to Sustainable Development," CSR, Sustainability, Ethics & Governance, in: Samuel O. Idowu (ed.), Key Initiatives in Corporate Social Responsibility, chapter 0, pages 157-176, Springer.
    22. Jack Bao & Kewei Hou, 2017. "De Facto Seniority, Credit Risk, and Corporate Bond Prices," The Review of Financial Studies, Society for Financial Studies, vol. 30(11), pages 4038-4080.
    23. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    24. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    25. You Zhu & Chi Xie & Bo Sun & Gang-Jin Wang & Xin-Guo Yan, 2016. "Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models," Sustainability, MDPI, vol. 8(5), pages 1-17, May.
    26. Lee, Cheuk Wing & Zhong, Jin, 2015. "Financing and risk management of renewable energy projects with a hybrid bond," Renewable Energy, Elsevier, vol. 75(C), pages 779-787.
    27. Arundina, Tika & Azmi Omar, Mohd. & Kartiwi, Mira, 2015. "The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 273-292.
    28. Arindam Bandyopadhyay, 2006. "Predicting probability of default of Indian corporate bonds: logistic and Z-score model approaches," Journal of Risk Finance, Emerald Group Publishing, vol. 7(3), pages 255-272, May.
    29. Jing-Lin Duanmu, 2015. "External Finance and the Foreign Direct Investment Decision: Evidence from Privately Owned Enterprises in China," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(1), pages 23-45, February.
    30. Westgaard, Sjur & van der Wijst, Nico, 2001. "Default probabilities in a corporate bank portfolio: A logistic model approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 338-349, December.
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    2. Liangjun Yi & Wei Zhang & Yuanxin Liu & Weilin Zhang, 2021. "An Analysis of the Impact of Market Segmentation on Energy Efficiency: A Spatial Econometric Model Applied in China," Sustainability, MDPI, vol. 13(14), pages 1-23, July.

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