The dependency measures of commercial bank risks: Using an optimal copula selection method based on non-parametric kernel density

2020 ◽  
Vol 37 ◽  
pp. 101706
Author(s):  
Chenglu Jin ◽  
Rongda Chen ◽  
Diandian Cheng ◽  
Sitian Mo ◽  
Ke Yang
Author(s):  
Mohib Ur Rahman ◽  
Bing Xu ◽  
Yuan Xiao ◽  
Wen-Tsung Lai ◽  
◽  
...  

This paper empirically investigates the AH share premium puzzle considering the impact of economic policy uncertainty (EPU) in China, using Hang Seng AH premium (HSAHP) index data from March 2011 to June 2018. Specifically, the index of Baker, Bloom, and Davis is used as a proxy for EPU in China. The data has been divided into two periods: 0 and 1. Period 0 includes data before the launch of the stock connect program and spans from March 2011 to October 2014, while period 1 represents data from after the launch of stock connect program and spans from November 2014 to June 2018. To more robustly test the change in AH premiums after the “connect” is launched; we evaluate the impact of Chinese EPU using non-parametric kernel density estimation. The empirical results show that parameter uncertainty explains variations in price disparity and can significantly reduce the returns of the AH share premium index.


2021 ◽  
Vol 6 (1(29)) ◽  
pp. 4-6
Author(s):  
Elena Vasilievna Chaikina ◽  
Alina Nikolaevna Makhota

Banking risks are one of the most important problems of credit institutions, as they have a direct impact on the financial situation of a commercial bank and the entire financial system of our country. This article discusses the essence of banking risk, its types and causes. The reasons for the occurrence of bank risks of both external and internal nature are summarized. The principles of creating an effective risk management system are systematized. Strategic and tactical methods and tools of risk management are summarized. The mandatory elements of improving the efficiency of the bank risk management system are identified.


2006 ◽  
pp. 90
Author(s):  
Maria Grazia Pittau ◽  
Roberto Zelli

Using kernel density estimation and mixture models, household size-adjusted income distributions in Italy are cross-sectionally examined over the period 1987-2002. A non-parametric test is used to assess the number of modes in the distributions. Evidence shows that income tends to cluster around more than one point. This gives good reason to model the shapes by a finite mixture density with an appropriate choice of components which represent homogeneous sub-populations. Effects of social and demographic factors on the probability of households to belong to one of the components of the mixture are identified by a compositional data analysis.


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