Importance of the Contingent Claims Analysis in Detecting Banking Risks: Evidence from the Greek Bank Crisis

Author:

Kyriakopoulos Constantinos1,Koulis Alexandros2,Varvounis Gerasimos3

Affiliation:

1. * Department of Mathematics, National and Kapodistrian University of Athens , Athens , Greece

2. ** Department of Regional Development, Ionian University , Corfu , Greece

3. *** Business Mathematics, Interdisciplinary Postgraduate Program, National and Kapodistrian University of Athens , Athens , Greece

Abstract

Abstract In this paper we apply the Contingent Claims Analysis (CCA) to the banking sector in Greece with a particular focus on the years of the Greek debt crisis. Greece was selected primarily because its banking sector was hit hard due to the country’s government debt default and its large exposure to domestic loans. The results obtained on the SIB’s level and on the banking sector level gave us particular insight into the benefits of CCA for micro- and macroprudential policy reasons. The Distance-to-Distress (DtD) risk metric produced is particularly useful for detecting banks’ vulnerabilities and resilience before they are revealed in the market. Moreover, the reduced volatility of DtD time series makes it an ideal candidate for tool predictions purposes and ultimately for policy reasons.

Publisher

Walter de Gruyter GmbH

Subject

Strategy and Management,Economics and Econometrics,Finance,General Economics, Econometrics and Finance

Reference28 articles.

1. 1. Andruszklewicz O., Mathis, J.,Vassiliadis, M.,Peppas, K. and Gatopoulos, G. (2020) “Study on the Financial Sector in Greece during the economic adjustment programmes: 2010-2018”. European Commission, Final Report.

2. 2. Antoniadis, I., Alexandridis, A. and Sariannidis, N. (2014). “Mergers and acquisitions in the Greek banking sector: An event study of a proposal”. Procedia Economics and Finance 14, pp. 13–22.

3. 3. Antunes, A. and Silva, N. (2010). “An Application of Contingent Claim Analysis to the Portuguese Banking System”. In: Financial Stability Report. May 2010 141, pp. 603–626.

4. 4. Bharath, S. T. and Shumway T. (2008). “Forecasting default with the Merton distance to default model”, The Review of Financial Studies 21.3, pp. 1339–1369.

5. 5. Black, F. and Scholes M. (1973). “The pricing of options and corporate liabilities”, Journal of political economy 81.3, pp. 637–654.

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