Non-Performing Loans and Systemic Risk of Indian Banks

2017 ◽  
Author(s):  
Mihir Dash
Keyword(s):  
2019 ◽  
Vol 176 ◽  
pp. 103-108 ◽  
Author(s):  
Ramprasad Verma ◽  
Wasim Ahmad ◽  
Gazi Salah Uddin ◽  
Stelios Bekiros
Keyword(s):  

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Mohammed Arshad Khan ◽  
Preeti Roy ◽  
Saif Siddiqui ◽  
Abdullah A. Alakkas

Exposure of the banking system to the Global Financial Crisis attracted attention to the study of riskiness and spillover. This paper studies the pattern of systemic risk and size effect in the Indian banking sector. Based on market capitalization, three public sector banks and three from the private sector were taken. Data are taken from the year 2007 to 2020. The analysis is done through quantile- CoVaR  (Conditional Value at Risk) and TENET (Tail-Event-Driven Network) measure. State variables like Indian market volatility and global risk measures negatively influence the Indian banks’ returns. Liquidity risk is a crucial aspect of private banks. Public banks experience public confidence even in the distress period. Large banks like HDFC and SBI bank offer the highest degree of systemic risk contribution. The role of private banks in transmitting systemic risk has been intensifying since 2015. Small-sized banks like PNB and BOB have become significant receivers and transmitters of risk.


2012 ◽  
pp. 32-47
Author(s):  
S. Andryushin ◽  
V. Kuznetsova

The paper analyzes central banks macroprudencial policy and its instruments. The issues of their classification, option, design and adjustment are connected with financial stability of overall financial system and its specific institutions. The macroprudencial instruments effectiveness is evaluated from the two points: how they mitigate temporal and intersectoral systemic risk development (market, credit, and operational). The future macroprudentional policy studies directions are noted to identify the instruments, which can be used to limit the financial systemdevelopment procyclicality, mitigate the credit and financial cycles volatility.


2020 ◽  
Vol 32 (6) ◽  
pp. 347-355
Author(s):  
Mark Wahrenburg ◽  
Andreas Barth ◽  
Mohammad Izadi ◽  
Anas Rahhal

AbstractStructured products like collateralized loan obligations (CLOs) tend to offer significantly higher yield spreads than corporate bonds (CBs) with the same rating. At the same time, empirical evidence does not indicate that this higher yield is reduced by higher default losses of CLOs. The evidence thus suggests that CLOs offer higher expected returns compared to CB with similar credit risk. This study aims to analyze whether this return difference is captured by asset pricing factors. We show that market risk is the predominant risk factor for both CBs and CLOs. CLO investors, however, additionally demand a premium for their risk exposure towards systemic risk. This premium is inversely related to the rating class of the CLO.


CFA Magazine ◽  
2012 ◽  
Vol 23 (5) ◽  
pp. 8-9
Author(s):  
John Rogers
Keyword(s):  

CFA Digest ◽  
2014 ◽  
Vol 44 (8) ◽  
Author(s):  
Sridhar Balakrishna
Keyword(s):  

CFA Digest ◽  
2011 ◽  
Vol 41 (1) ◽  
pp. 70-72
Author(s):  
Raymond Galkowski
Keyword(s):  

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