"The Effects of Mandated Stress-Testing on Bank Risk" by Nikhil Mathur

Date of Award

Fall 2020

Degree Type

Restricted to Claremont Colleges Dissertation

Degree Name

Economics, PhD

Program

School of Social Science, Politics, and Evaluation

Advisor/Supervisor/Committee Chair

Thomas Willett

Dissertation or Thesis Committee Member

Hisam Sabouni

Dissertation or Thesis Committee Member

Clas Wihlborg

Dissertation or Thesis Committee Member

Pierangelo De Pace

Terms of Use & License Information

Creative Commons Attribution-Share Alike 4.0 License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

Rights Information

©2020 Nikhil Mathur

Keywords

Banking, Financial Crisis, Financial Intermediation, Financial Policy, Government Policy and Regulation, Risk Management

Subject Categories

Economics | Finance

Abstract

In the aftermath of the Financial Crisis, The United States Congress passed the Dodd- Frank Wall Street Reform and Consumer Protection Act in 2010 (12 USC 5365(i)(1)) with particular rules on how Bank Holding Companies (BHC’s) are to be supervised. If a BHC has total consolidated assets greater than $50bn then they are required to undergo the Comprehensive Capital Asset Review (CCAR) exercise. If a BHC has total consolidated assets between $10bn and $50, they are required to undergo Dodd-Frank Act Stress-Testing (DFAST). The purpose of stress-testing and classifications are to ensure that BHCs have sufficient capital and planning processes in place to withstand future crises. However, the classifications were seemingly set arbitrarily and there is a need to investigate whether the regulation has the intended purpose of BHC risk reduction. By using a novel quasi-experimental design strategy, this research investigates and estimates whether the regulation had the intended effect of reducing bank risk. First, two unique measures of bank risk (Z-score) are developed and estimated for 220 banks in a sample from The Banker’s Database. These measures are used to develop an Regression Discontinuity Design (RDD) empirical strategy to test the DFAST and CCAR thresholds, $10bn and $50bn, respectively. The thresholds are tested as an overall period from 2012 - 2018 and by year. Additionally, extensive use of a McCrary Test for manipulation of the running variable is used as a robustness check. It is a statistical method that allows for detection of whether BHC’s or a regulatory agency adjusted total assets in order to be categorized differently. There is no evidence for partial or complete manipulation. BHCs that participated in CCAR stress-tests, experienced a near doubling of their Z-score score, interpreted as a major decrease in bank risk. The results indicate a 106% increase in Zscore at the $50bn CCAR threshold for the overall period of 2012 - 2018. So, at the threshold of $50bn, comparing the average bank above the threshold to below, the bank that was CCAR stress-tested had a 106% increase in Z-score compared to the bank that was not CCAR stresstested. This also implies a dramatic decrease in the probability of default. Additionally, the by year testing indicates a positive magnitude of risk reduction. Particularly strong results are found for risk reduction effects for CCAR stress-tested banks in 2015 and 2016 (332% and 208%, respectively compared to a base year of 2012) . The results indicate a similar magnitude for the $10bn DFAST threshold for the overall period of 2012 - 2018, but are not statistically significant. Similarly, the by year testing indicates a positive magnitude of risk reduction for small/medium sized banks.

ISBN

9798557026703

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