Corporate credit-risk evaluation system: Integrating explicit and implicit financial performances

نویسندگان

  • Faming Zhang
  • Pandu R. Tadikamalla
  • Jennifer Shang
  • Joseph M. Katz
چکیده

Traditional credit-risk evaluation methods focus mainly on static credit evaluation and rarely consider incentive factors. This paper proposes a comprehensive method of credit-risk evaluation based on dynamic incentives. First, an “explicit incentive” model is constructed based on the firm's current financial standing, and an “implicit incentive” model is subsequently developed focusing on the trend of the firm's past performance. Geometric (or arithmetic) procedures are applied to integrate the two models. To validate the proposed approach, we apply it to 12 publicly traded companies, each with 24 quarters and 20 indicators. We find the proposed integrated evaluation model outperforms the conventional models by better reflecting the key credit-risk management concept of “motivation and guidance”. & 2016 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Corporate Governance and Credit Risk in Iranian Banking Industry

The main purpose of this research is to investigate the impacts of corporate governance on credit risk in the Iranian banking industry. The sample consists of 20 banks listed on the Tehran Stock Exchange during 2011-2016 and the statistical method is panel data. In this research, credit risk and corporate governance are the dependent and independent variables, respectively. The meta-synthesis m...

متن کامل

Managerial Preferences , Corporate Governance , and Financial Structure ∗

Conflicts of interest between insiders (e.g, controlling shareholders) and outsiders (e.g., minority shareholders) are central to the analysis of modern corporation. In an integrated continuous-time contingent claims framework with imperfect corporate governance, we examine a controlling shareholder’s optimal choice of capital structure, ownership concentration, private benefit diversion, consu...

متن کامل

A new corporate credit scoring system using semi-supervised discriminant analysis

Corporate credit scoring is important for investors and banks in risk management. However, the high dimensional data available from public financial statements make credit analysis difficult. To address the problem, dimensionality reduction is a key step to enhance scoring accuracy. By using semi-supervised discriminant analysis (SSDA) and support vector machines (SVMs), this study develops a n...

متن کامل

Valuation of Complex Financial Instruments for Credit Risk Transfer

The fair valuation of complex financial products for credit risk transfer (CRT) can provide a good basis for sustained growth of these markets and their recovery after the current financial crisis. Therefore, the risks of these structured credit securities (such as Collateralized Debt Obligations (CDO) and Credit Default Swap-Index tranches) have to be known as well as the investor’s current ri...

متن کامل

ارائه مدل ترکیبی شبکه های عصبی با بهره گیری از یادگیری جمعی به منظور ارزیابی ریسک اعتباری

Banking is a specific industry that deals with capital and risk for making profit. Credit risk as the most important risk, is an active research domain in financial risk management studies. In this paper a hybrid model for credit risk assessment which applies ensemble learning for credit granting decisions is designed. Combining clustering and classification techniques resulted in system improv...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016