THE ROLE OF CREDIT RATING AGENCIES IN PREDICTING FINANCIAL CORPORATE FRAUD: A LITERATURE REVIEW ON EFFECTIVENESS AND INVESTOR PERCEPTIONS.

Authors

  • Mrs. Tejashree Soni Author
  • Dr.Porinita Banerjee Author

DOI:

https://doi.org/10.65009/x2zdym65

Keywords:

credibility, rating, corporate, investors, credit,,

Abstract

Purpose: The aim of this research paper is to critically analyse the contribution of credit rating 
agencies in forecasting financial corporate fraud, analysing their efficiency and investigating 
investor perceptions. Through the analysis of previous literature, the research intends to 
establish areas of gaps in existing knowledge on how credit ratings relate to fraud detection 
and whether these agencies can be relied upon as an investor tool. Lastly, the study aims to 
offer inputs that can bring greater transparency, accountability, and trust to financial markets. 
Design/Methodology/Approach: There exists a large body of literature on the effectiveness 
& methodologies and tools utilized by credit rating agencies. This paper intends to synthesize 
and carry out a literature review in order to ascertain the determinants of the perceived 
credibility of credit rating agencies by investors. The data for the research was gathered from 
secondary sources like books, journals, reports etc

,

References

Bahoo, S., Ahmed, F., Shoukat, A., & Ahmad, M. (2019). Impact of corporate

governance on american corporates' financial performance: the mediating role of

derivatives. Journal of Independent Studies and Research Management Social Science

and Economics, 17(1), 125-148https://doi.org/10.31384/jisrmsse/2019.17.1.8

Chiu, I. (2013). Regulatory governance of credit rating agencies in the eu: the perils

of pursuing the holy grail of rating accuracy. European Journal of Risk Regulation,

(2), 209-226. https://doi.org/10.1017/s1867299x00003354

Kresaj, L. and Jošić, H. (2023). Analysis of determinants influencing the credit ratings

of european union countries. Notitia, 9(1), 33-47. https://doi.org/10.32676/n.9.1.4

Manuylenko, V., Ryzin, D., Gryzunova, N., Bigday, O., & Mandrytsa, O. (2020).

Toolset for financial risk strategic assessment in corporations based on stochastic

modeling.

Revista

Amazonia

https://doi.org/10.34069/ai/2020.28.04.50

Investiga,

(28),

-464.

Name, C. and Name, F. (2019). Predicting corporate failures using multi discriminant

analysis and current ratio: an empirical application to philippines stock exchange.

International

Journal of Science and Research (Ijsr), 8(4), 644-648.

https://doi.org/10.21275/art20196831

Sendyona, C. (2020). Enron scandal: evidence of a missed opportunity to detect and

halt fraud and bankruptcy. European Journal of Accounting Auditing and Finance

Research, 8(5), 54-65. https://doi.org/10.37745/ejaafr/vol8.no5.pp54-65.2020

Valášková, K., Klieštik, T., Švábová, L., & Adamko, P. (2018). Financial risk

measurement and prediction modelling for sustainable development of business

entities

using

regression

https://doi.org/10.3390/su10072144

analysis.

Sustainability,

(7),

Xiaodie, P. and Cai, L. (2020). The analysis of credit rating institutions in financial

crisis.. https://doi.org/10.2991/assehr.k.200428.136

Younas, N., Uddin, S., Awan, T., & Khan, M. (2021). Corporate governance and

financial distress: asian emerging market perspective. Corporate Governance, 21(4),

-715. https://doi.org/10.1108/cg-04-2020-0119

Adelakun, B., Onwubuariri, E., Adeniran, G., & Ntiakoh, A. (2024). Enhancing fraud

detection in accounting through ai: techniques and case studies. Finance & Accounting

Research Journal, 6(6), 978-999. https://doi.org/10.51594/farj.v6i6.1232

Balogun, O., Kupolusi, J., & Akomolafe, A. (2024). Credit card fraud detection using

machine learning algorithms. British Journal of Computer Networking and

Information Technology, 7(3), 1-35. https://doi.org/10.52589/bjcnit-ydijnxg2

Feng, X. and Kim, S. (2024). Novel machine learning based credit card fraud detection

systems. Mathematics, 12(12), 1869. https://doi.org/10.3390/math12121869

Kalaria, P. (2020). Rated p for public. Columbia Business Law Review, 2020(2).

https://doi.org/10.52214/cblr.v2020i2.7216

Partnoy, F. (2017). What's (still) wrong with credit ratings. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.2969086

Xiaodie, P. and Cai, L. (2020). The analysis of credit rating institutions in financial

crisis.. https://doi.org/10.2991/assehr.k.200428.136

Zhu, X., Ao, X., Qin, Z., Chang, Y., Liu, Y., He, Q., … & Li, J. (2021). Intelligent

financial fraud detection practices in post-pandemic era. The Innovation, 2(4), 100176.

https://doi.org/10.1016/j.xinn.2021.100176

Bolton, P., Freixas, X., & Shapiro, J. (2012). The credit ratings game. The Journal of

Finance, 67(1), 85-111. https://doi.org/10.1111/j.1540-6261.2011.01708.x

Frenkel, S. (2015). Repeated interaction and rating inflation: a model of double

reputation. American Economic Journal Microeconomics, 7(1), 250-280.

https://doi.org/10.1257/mic.20110077

Fulghieri, P., Strobl, G., & Xia, H. (2013). The economics of solicited and unsolicited

credit

ratings.

Review

of

https://doi.org/10.1093/rfs/hht072

Financial

Studies,

(2),

-518.

Lugo, S., Croce, A., & Faff, R. (2014). Herding behavior and rating convergence

among credit rating agencies: evidence from the subprime crisis*. Review of Finance,

(4), 1703-1731. https://doi.org/10.1093/rof/rfu028

Montes, G. and Costa, J. (2020). Effects of fiscal credibility on sovereign risk:

evidence using comprehensive credit rating measures. International Journal of

Emerging Markets, 17(3), 858-888. https://doi.org/10.1108/ijoem-06-2020-0697

Opp, C., Opp, M., & Harris, M. (2013). Rating agencies in the face of regulation.

Journal

Financial

Economics,

https://doi.org/10.1016/j.jfineco.2012.10.011

(1),

-61.

Ryan, J. (2013). Credit rating agencies: are they credible?. International Journal of

Public Policy, 9(1/2), 4. https://doi.org/10.1504/ijpp.2013.053437

Sangiorgi, F. (2017). Opacity, credit rating shopping, and bias. Management Science,

(12), 4016-4036. https://doi.org/10.1287/mnsc.2016.2558

Seetharaman, A., Patwa, N., & Nagarajan, S. (2019). Rating the credit raters. Journal

of

Accounting

Business

and

Management

https://doi.org/10.31966/jabminternational.v26i2.413

rating

(Jabm),

(2),

Shafna.T, E. (2023). Assessing the scholarly landscape: a bibliometric journey through

credit

agency

research.

https://doi.org/10.52783/eel.v13i5.960

EEL,

(5),

-1728.

Uslu, Ç. (2017). Examining the behavior of credit rating agencies post 2008 economic

turmoil. International Journal of Management and Economics, 53(4), 61-76.

https://doi.org/10.1515/ijme-2017-0026

Xiaodie, P. and Cai, L. (2020). The analysis of credit rating institutions in financial

crisis.. https://doi.org/10.2991/assehr.k.200428.136

Xie, C., Ahmad, R., & Koh, E. (2022). Does credit rating agency reputation matter in

china’s

local

government bond market?. Plos One, 17(9), e0274828.

https://doi.org/10.1371/journal.pone.0274828

Published

2025-09-10

How to Cite

THE ROLE OF CREDIT RATING AGENCIES IN PREDICTING FINANCIAL CORPORATE FRAUD: A LITERATURE REVIEW ON EFFECTIVENESS AND INVESTOR PERCEPTIONS. (2025). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 3(3.1), 175-182. https://doi.org/10.65009/x2zdym65