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Elements of Credit Rating: A Hybrid Review and Future Research Agenda

机译:信用评级要素:混合审查和未来的研究议程

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Creditworthiness is acknowledged worldwide as focal point of debt processing. Credit Rate, an output of credit-rating process, reflects such credit- worthiness. We reviewed literature on elements of credit rating, viz. Credit Rate, credit-rating agencies (CRAs) and credit-rating model. Credit Rating is an indepen- dent evaluation of creditworthiness. CRAs perform this evaluation to support financial institutions in processing debts. Literature added in credit-rating domain from January 2001 to November 2020 is analyzed to explore the opportunities for further research. Bibliometric analysis is used to comprehend the existing literature. Subsequently, through structured review theories, methodologies used by researchers and CRAs are explored. Further, a hybrid literature review is developed by integrating bibliometric and structured review of research papers from widely recognized databases. A sample of 153 papers is constructed and studied to identify gaps in credit-rating domain and to develop suitable remedy to fill such gaps. We found that most of the studies emerged as after-effects of financial crisis reported in 2008 and 2016. The review revealed that 48% studies focused on development of new credit-rating mechanism without evaluating existing structure in-depth. This paper contributes to existing literature by encouraging researchers and CRAs to develop a sector-specific credit-rating system by evaluating existing models and improvising them by adopting advanced techniques like Multiple Regression, Neural Networking and Artificial Intelligence. We have provided a feasible research agenda to further explore credit-rating domain. In this study we have identified that the factors determining creditworthiness are different for different sectors.
机译:作为债务处理的焦点,全世界都承认信誉。信贷额是信贷评级过程的产出,反映了这种信誉。我们审查了信用评级元素的文献,Ziz。信用率,信用评级机构(CRAS)和信用评级模型。信用评级是对信誉良好的违法行为评估。 CRAS执行此评估,以支持处理债务的金融机构。分析了2001年1月至11月20日至11月20日在信贷评级域中添加的文学,探讨了进一步研究的机会。学者计量分析用于了解现有文献。随后,通过结构化审查理论,探索了研究人员和CRA所使用的方法。此外,通过从广泛认可的数据库中集成了对研究论文的生学计量和结构化审查来开发混合文献综述。构建和研究了153篇论文的样本,以识别信用评级领域的差距,并制定合适的补救措施来填补这些差距。我们发现,由于金融危机的欠效,大多数研究是2008年和2016年报告的。审查表明,48%的研究专注于开发新的信用评级机制,而无需评估现有的结构深入。本文通过鼓励研究人员和CRA通过评估现有模型和通过采用多元回归,神经网络和人工智能等先进技术来提高研究人员和CRA来开发特定的信用评级系统,为现有文献提供有助于开发一个特定的信用评级系统。我们提供了可行的研究议程,以进一步探索信用评级域。在这项研究中,我们确定了确定信誉的因素对不同的部门不同。

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