Testing loan loss provisioning hypotheses for banks from the U.S.

Tong, Yushang (2018) Testing loan loss provisioning hypotheses for banks from the U.S. [Dissertation (University of Nottingham only)]

[img] PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (291kB)


This research examined Loan Loss Provisions (LLP) determinants: income smoothing, capital management, business cycle and cost X-efficiency, using 150 US commercial and saving banks from 2011 to 2017 with the use of stochastic frontier analysis (SFA) and two- step system Generalized Method of Moments (GMM) estimation. To test the impact of efficiency on LLP, the first stage is carried out generating cost efficiency scores for individual banks in each year using cost translog function. The second stage then tests the determinacy of LLP using main determinants variables via the GMM model. Following Bryce et al. (2015),

I have tested four hypotheses, which are income smoothing hypothesis business cycle hypothesis, capital management hypothesis and cost efficiency. Empirical results support counter-cyclical and income smoothing however fail to support capital management and cost efficiency.

Item Type: Dissertation (University of Nottingham only)
Depositing User: Tong, Yushang
Date Deposited: 05 Sep 2022 15:52
Last Modified: 05 Sep 2022 15:52
URI: https://eprints.nottingham.ac.uk/id/eprint/54650

Actions (Archive Staff Only)

Edit View Edit View