The analysis of factors influencing loan losses provision of China's commercial banks

In order to solve the problem of non-performing loans, China's banking industry should correctly prepare for the loss of loans. In this paper, the factors affecting the loan loss are the main factors in the development of China's banking sector. Analyzed. In this paper, the panel data of 1...

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Main Author: Bian, Shuo
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/46019/
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author Bian, Shuo
author_facet Bian, Shuo
author_sort Bian, Shuo
building Nottingham Research Data Repository
collection Online Access
description In order to solve the problem of non-performing loans, China's banking industry should correctly prepare for the loss of loans. In this paper, the factors affecting the loan loss are the main factors in the development of China's banking sector. Analyzed. In this paper, the panel data of 15 banks in 2011-2016 were analyzed, and the GMM regression analysis was carried out, and the cost was obtained. The efficiency factor was obtained by SFA function analysis. Through the generalized two-step GMM analysis, The variables that affect the loan loss preparation, and the extent of the impact, and makes recommendations for the conclusions drawn.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T20:00:43Z
publishDate 2017
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spelling nottingham-460192018-04-17T15:11:08Z https://eprints.nottingham.ac.uk/46019/ The analysis of factors influencing loan losses provision of China's commercial banks Bian, Shuo In order to solve the problem of non-performing loans, China's banking industry should correctly prepare for the loss of loans. In this paper, the factors affecting the loan loss are the main factors in the development of China's banking sector. Analyzed. In this paper, the panel data of 15 banks in 2011-2016 were analyzed, and the GMM regression analysis was carried out, and the cost was obtained. The efficiency factor was obtained by SFA function analysis. Through the generalized two-step GMM analysis, The variables that affect the loan loss preparation, and the extent of the impact, and makes recommendations for the conclusions drawn. 2017-09-13 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/46019/1/Bian%20Shuo%204267022.pdf Bian, Shuo (2017) The analysis of factors influencing loan losses provision of China's commercial banks. [Dissertation (University of Nottingham only)] loan loss provision,non-performing loans
spellingShingle loan loss provision,non-performing loans
Bian, Shuo
The analysis of factors influencing loan losses provision of China's commercial banks
title The analysis of factors influencing loan losses provision of China's commercial banks
title_full The analysis of factors influencing loan losses provision of China's commercial banks
title_fullStr The analysis of factors influencing loan losses provision of China's commercial banks
title_full_unstemmed The analysis of factors influencing loan losses provision of China's commercial banks
title_short The analysis of factors influencing loan losses provision of China's commercial banks
title_sort analysis of factors influencing loan losses provision of china's commercial banks
topic loan loss provision,non-performing loans
url https://eprints.nottingham.ac.uk/46019/