Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017

This dissertation aims to explore the efficiency and profitability of US 50 largest banks over the course of 2011 to 2017, which is after-crisis period. The whole research will be split into two parts. One is to estimate the cost efficiency scores for sample banks, by utilizing Stochastic Frontier A...

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Main Author: Jiang, Jiru
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2018
Online Access:https://eprints.nottingham.ac.uk/54166/
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author Jiang, Jiru
author_facet Jiang, Jiru
author_sort Jiang, Jiru
building Nottingham Research Data Repository
collection Online Access
description This dissertation aims to explore the efficiency and profitability of US 50 largest banks over the course of 2011 to 2017, which is after-crisis period. The whole research will be split into two parts. One is to estimate the cost efficiency scores for sample banks, by utilizing Stochastic Frontier Analysis (SFA). The other is to estimate the profitability model measured by ROAE and incorporated with efficiency scores obtained previously in the efficiency model. System Generalized Method of Moments (SGMM) will be employed to estimate the bank profitability model and prior to it, an endogeneity test will be performed as well. Detailed interpretation and results analysis will be carried out later and reasons to our research outcome could be briefly attributed to the after-crisis lagging effect and recovery from the Global Financial Crisis, together with regulation regime and new capital requirements implemented by Basel III and banks’ adaption to these new changes.
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spelling nottingham-541662022-04-25T14:21:42Z https://eprints.nottingham.ac.uk/54166/ Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017 Jiang, Jiru This dissertation aims to explore the efficiency and profitability of US 50 largest banks over the course of 2011 to 2017, which is after-crisis period. The whole research will be split into two parts. One is to estimate the cost efficiency scores for sample banks, by utilizing Stochastic Frontier Analysis (SFA). The other is to estimate the profitability model measured by ROAE and incorporated with efficiency scores obtained previously in the efficiency model. System Generalized Method of Moments (SGMM) will be employed to estimate the bank profitability model and prior to it, an endogeneity test will be performed as well. Detailed interpretation and results analysis will be carried out later and reasons to our research outcome could be briefly attributed to the after-crisis lagging effect and recovery from the Global Financial Crisis, together with regulation regime and new capital requirements implemented by Basel III and banks’ adaption to these new changes. 2018-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/54166/1/Jiru%20Jiang_4295244_dissertation.pdf Jiang, Jiru (2018) Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017. [Dissertation (University of Nottingham only)]
spellingShingle Jiang, Jiru
Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title_full Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title_fullStr Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title_full_unstemmed Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title_short Empirical Analysis of Efficiency and Profitability of US banking industry from 2011 to 2017
title_sort empirical analysis of efficiency and profitability of us banking industry from 2011 to 2017
url https://eprints.nottingham.ac.uk/54166/