EXAMINING WHAT BEST EXPLAINS CORPORATE CREDIT RISK: ACCOUNTING-BASED VERSUS MARKET-BASED MODELS

被引:29
|
作者
Trujillo-Ponce, Antonio [1 ]
Samaniego-Medina, Reyes [1 ]
Cardone-Riportella, Clara [2 ]
机构
[1] Pablo Olavide Univ, Dept Financial Econ & Accounting, Seville 41013, Spain
[2] Univ Carlos III Madrid, Dept Business Adm, Madrid 28903, Spain
关键词
bankruptcy; credit default swaps; credit rating; credit risk; distance-to-default; European companies; DEFAULT SWAP SPREADS; FINANCIAL RATIOS; TERM STRUCTURE; DEBT; DETERMINANTS; VALUATION; SECURITIES; PREDICTION; BANKRUPTCY; QUALITY;
D O I
10.3846/16111699.2012.720598
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper uses a sample of 2,186 credit default swap spreads quoted in the European market during the period 2002-2009 to empirically analyze which model - accounting- or market-based - better explains corporate credit risk. We find little difference in the explanatory power of these two approaches. Our results indicate that a comprehensive model that combines accounting- and market-based variables is the best option to explain the credit risk, suggesting that both types of data are complementary. We also demonstrate that the explanatory power of credit risk models is particularly strong during periods of high uncertainty, such as those experienced in the recent financial crisis. Finally, the comprehensive model continues to produce the best results if the credit rating is used as the proxy for credit risk; however, accounting variables currently appear to have a more important role than market variables in determining corporate credit ratings.
引用
收藏
页码:253 / 276
页数:24
相关论文
共 23 条
  • [21] A Perfomance Measure for Credit Risk Models-Based on Chinese Capital Market
    Fan, Honggang
    Zhao, Guo Qing
    Zhou, Zhili
    PROCEEDING OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES, 2009, : 110 - 114
  • [22] Transitional role of risk and uncertainty on bank-based versus market-based relationship: evidence from MENA region
    Nwani, Nkwor Nelson
    Ujunwa, Austin
    Okoyeuzu, Chinwe R.
    Ujunwa, Angela
    Kalu, Ebere Ume
    Al-Faryan, Mamdouh Abdulaziz Saleh
    JOURNAL OF BANKING REGULATION, 2025, 26 (01) : 100 - 109
  • [23] Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market
    Zhang, Yuanyuan
    Zhao, Huiru
    Li, Bingkang
    Zhao, Yihang
    Qi, Ze
    ENERGY, 2022, 252