The Balance Sheet Network Analysis for Measuring Systemic Risk of Islamic Commercial Banks in Indonesia

2017 ◽  
Vol 6 (Special Issue) ◽  
pp. 100-113
Author(s):  
D. Agus Harjito ◽  
M. A. B. Hananta Wiratama
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Mehmood Raza Shah ◽  
Qiang Fu ◽  
Ghulam Abbas ◽  
Muhammad Usman Arshad

PurposeWealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).Design/methodology/approachIn this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.FindingsThis study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.Research limitations/implicationsNon-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.Practical implicationsFrom a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.Originality/valueThis research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.


2000 ◽  
Vol 86 (6) ◽  
pp. 0-0
Author(s):  
William F. Bassett ◽  
◽  
Egon Zakrajšek

1997 ◽  
Vol 83 (6) ◽  
pp. 0-0
Author(s):  
William R. Nelson ◽  
◽  
Ann L. Owen

2017 ◽  
Vol 12 (2) ◽  
pp. 246
Author(s):  
Uma Murthy ◽  
Naail Mohammed Kamil ◽  
Paul Anthony Mariadas ◽  
Dilashenyi Devi

Non-performing loans (NPL) is a worldwide issue that affects financial markets stability in general and banking industry viability in particular. The net non-performing loan (NPL) ratio in the banking system since the Asian financial crisis has gradually been in decline from 13.6% in December 1998 to 2.8% in May 2008. Government intervention to non-performing loan recovery strategies have contributed significantly in the decline. The Malaysian government and banks have succeeded in removing the non-performing loans (NPL) from banks Balance Sheet. This study examines the factors influencing non-performing loans in commercial banks in Selangor. A quantitative research approach is employed in this research following the positivist assumption with a realist ontology and objectivist epistemology. Data was collected using a probabilistic sampling method, particularly a stratified random sampling technique. The adapted survey questionnaire employed in this study and distributed 150 questionnaires and successfully received 130 questionnaires. Overall, the researcher has discussed about the findings of the analysis that was conucted using the SPSS software. Descriptive approach, correlation and multiple regression analysiss had been shown during the analysis. The descriptive approach displayed direct  results while  the correlation displayed the relationship between the dependent variable (non-performing loan) and the independent variables (standard of living, consumer income, economy of the country, bank interest rate). In this research, found three factors that influencing non-performing loan in Malaysia which are consumers’ income, the economy of the country and bank interest rate. The bank will found that the bank interest rate affect the rate of non-performing loan increase. For the future researchers, this research will benefit them as well. If they are doing their researches which are related to this topic, they can gather everything they want easily. Besides that, it will benefit the researcher who is going to do this research study in Malaysia. This is because the information in Malaysia is limited.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anson Au

Purpose This paper aims to examine how financial technology (FinTech) knowledge from foreign firms flows into and among elite commercial banks in Hong Kong’s financial sector to drive innovation. Design/methodology/approach Using social network analysis and regression analysis on a novel database of patents held by Hong Kong’s elite commercial banks, this paper examines the relationships between network position and FinTech knowledge flow. Findings This paper finds four untold patterns of innovation and inequality in Hong Kong’s financial sector: only three banks are responsible for all the FinTech knowledge entering Hong Kong; most foreign FinTech comes from the USA through Hong Kong and Shanghai Banking Corporation, whereas most FinTech from China enters through Fubon Bank and Development Bank of Singapore; older banks and banks with more connections to firms inside Asia are more likely to import FinTech; the most beneficial sources of FinTech for a bank’s network position are firms from outside Asia. Originality/value Despite the well-documented volumes of cross-border and cross-continental movement of financial institutions in Hong Kong, there is little work on the knowledge flows that underwrite this mobility. This paper addresses this gap by using FinTech knowledge flows to map the distribution of innovation, network position and competitive advantage in Hong Kong’s financial sector.


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