Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data

Author:

Yıldırım Yusuf,Sanyal Anirban

Abstract

Early warning indicators (EWIs) of banking crises should ideally be judged on how well they function in relation to the choice issue faced by macroprudential policymakers. However, the effectiveness of EWIs depends upon the strength of the predicting power, stability, and timeliness of the signal. Using a balanced panel of 6 countries’ experience with banking and currency crises in recent times, this paper evaluates the effectiveness of EWIs using Receiver Operating Characteristics. Following the drivers of the banking crisis and currency crisis, the paper evaluates the effectiveness of aggregate credit growth, sectoral deployment of credit along and other macroeconomic indicators generally used as EWI. The paper observes that credit disbursements to non-financial sectors and the central government provides stable signals about systemic risks. Further debt service ratio, interbank rates and total reserves are also found to be useful in predicting these crises. Lastly, the effective EWIs are combined using shrinkage regression methods to evaluate the improvement of signal strength of the combination of EWIs. The predictive power of the combination of EWIs provides better signal strength in predicting the macroprudential crisis.

Publisher

Editura Universitatii Alexandru Ioan Cuza din Iasi

Subject

General Economics, Econometrics and Finance,General Business, Management and Accounting

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of GRA-RF Combination Algorithm in Early Warning Mechanism of Financial Business Cycle;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3