Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model
In this paper, 16 commercial banks listed on Shanghai and Shenzhen A-shares are selected as research samples and data from 2010 to 2019 are adopted. According to their mechanism of operation, scale of asset and etc, the research samples are divided into three groups. They are 16 listed commercial ba...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03006.pdf |
id |
doaj-48ddc4ccdac4497f8e2cb9426a180bea |
---|---|
record_format |
Article |
spelling |
doaj-48ddc4ccdac4497f8e2cb9426a180bea2021-05-28T12:41:13ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012530300610.1051/e3sconf/202125303006e3sconf_eem2021_03006Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data ModelZhang Liulu0Zhao Qiujing1Faculty of Humanities Shanghai Institute of TechnologyFaculty of Humanities Shanghai Institute of TechnologyIn this paper, 16 commercial banks listed on Shanghai and Shenzhen A-shares are selected as research samples and data from 2010 to 2019 are adopted. According to their mechanism of operation, scale of asset and etc, the research samples are divided into three groups. They are 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks. The study makes an empirical analysis on the factors affecting the liquidity risk of listed commercial banks. Firstly, the factors affecting liquidity risk of listed commercial banks are divided into external and internal levels, and then descriptive analysis carried out on the factors at two levels. Then the stability of data is tested. After the data is tested, the panel data models applicable to 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks are established through Hausman test and F test. The regression analysis of groups are conducted. Finally, according to regression analysis results, some reasonable recommendations are put forward.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03006.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhang Liulu Zhao Qiujing |
spellingShingle |
Zhang Liulu Zhao Qiujing Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model E3S Web of Conferences |
author_facet |
Zhang Liulu Zhao Qiujing |
author_sort |
Zhang Liulu |
title |
Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model |
title_short |
Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model |
title_full |
Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model |
title_fullStr |
Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model |
title_full_unstemmed |
Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model |
title_sort |
analysis of factors affecting liquidity risk of listed commercial banks in china-- based on the panel data model |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
In this paper, 16 commercial banks listed on Shanghai and Shenzhen A-shares are selected as research samples and data from 2010 to 2019 are adopted. According to their mechanism of operation, scale of asset and etc, the research samples are divided into three groups. They are 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks. The study makes an empirical analysis on the factors affecting the liquidity risk of listed commercial banks. Firstly, the factors affecting liquidity risk of listed commercial banks are divided into external and internal levels, and then descriptive analysis carried out on the factors at two levels. Then the stability of data is tested. After the data is tested, the panel data models applicable to 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks are established through Hausman test and F test. The regression analysis of groups are conducted. Finally, according to regression analysis results, some reasonable recommendations are put forward. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03006.pdf |
work_keys_str_mv |
AT zhangliulu analysisoffactorsaffectingliquidityriskoflistedcommercialbanksinchinabasedonthepaneldatamodel AT zhaoqiujing analysisoffactorsaffectingliquidityriskoflistedcommercialbanksinchinabasedonthepaneldatamodel |
_version_ |
1721424099205447680 |