Liquidity Risk, Liquidity Creation and Financial Supervision: An Empirical Analysis from Chinese Commercial Banks

2012 ◽  
Author(s):  
zhang ning ◽  
Chen Qing-yi
Keyword(s):  
Empirical Analysis ◽  
Commercial Banks ◽  
Liquidity Risk ◽  
Financial Supervision

scholarly journals How developing countries should choose their financial regulatory framework? Empirical Analysis Based on Data from 62 Countries

2021 ◽  
Vol 235 ◽  
pp. 01010
Author(s):  
Peng Zhong ◽  
Tao Wu ◽  
Shuaixin Guo
Keyword(s):  
Developing Countries ◽  
Empirical Analysis ◽  
Logit Model ◽  
Empirical Test ◽  
Organization Structure ◽  
Structure Change ◽  
Regulatory Framework ◽  
Financial Supervision ◽  
Financial Regulatory

This paper adopts the orderly logit model which has achieved good results in the research of financial supervision organization structure in recent years, selects 62 representative countries as samples, estimates and analyzes the factors that affect the financial supervision organization structure change, and carries on the empirical test to the constructed model, thus provides the reference basis for developing countries to select their own financial supervision organization structure.

scholarly journals The Effect of Risks on Banking Safety: Applied Study on Jordanian Traditional Banks (2005-2016)

2017 ◽  
Vol 9 (9) ◽  
pp. 102
Author(s):  
Mohammad Abdel Mohsen Al-Afeef ◽  
Atallah Hassan Al-Ta'ani
Keyword(s):  
Interest Rate ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Liquidity Risk ◽  
Interest Rate Risk ◽  
Bank Credit ◽  
Applied Study ◽  
Rate Risk ◽  
The Impact

Banking sector is one of the most important sectors that support the sustainable economic development in Jordan, therefore this study aimed to test the impact of risks; (Liquidity risk, bank credit risk and interest rate risk) on the safety in the banking sector in the Jordanian commercial banks during the period 2005-2016.The results of the study showed that there is a statistically significant impact for each of liquidity risk and interest rate risk on the safety in the banking sector, and there isn't statistically significant impact for credit risk on the safety in the banking sector during the period of this study, and also find that the explanatory of model was 60.5%, which means that 39.5% due to other factors.

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