scholarly journals Research on the Stability of the Banking System With Shadow Banking Under Macroeconomic Fluctuation

2020 ◽  
Vol 8 ◽  
Author(s):  
Hongjie Pan ◽  
Hong Fan
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Qianqian Gao ◽  
Hong Fan

The stability of banking system has caused wide concerns since the global financial crisis. The present paper focuses on studying the stability of a banking network system in the case that the banking network system suffers the dynamic macroeconomic fluctuation shocks. We firstly construct a banking network system with a scale-free structure, then let the banking network system suffer the dynamic macroeconomic fluctuation (here, we consider three kinds of situations; the macro economy fluctuates in downward, upward, and random trends, respectively). Then, we study the stability of the banking network system under each situation. Firstly, the results show that the scale-free topology has an important effect on the stability of the banking network system at each macroeconomic fluctuation situation. Secondly, the investment payback period and the ratio of investment to deposit have a large effect on the stability of the banking network system in the cases of dynamic macroeconomic fluctuation. In addition, our further studies find that there is an optimal ratio of the investment to deposit under various macroeconomic fluctuation scenarios, which divides the banking system into stable and unstable regions. Finally, we discuss the regulation strategies for banks, which may provide decision supports for the relevant regulatory authority.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Hongjie Pan ◽  
Hong Fan

With the rapid development of the financial market, the outbreak of systemic risk is affected by many factors, among which shadow banking is considered to be the essential reason to cause financial crisis and destroy the stability of the banking system. In view of the stability of the banking system, considering shadow banking, interbank lending, and complex relationships between banks, a dynamic complex interbank network model with shadow banking under different network structures is proposed. Based on the model, the effects of ROI, investment periods, average deposit, deposit interest rate, the density of shadow banks, and asset loss are studied quantitatively, and the sensitivity and difference of the banking system with shadow banking under different interbank networks are compared and analyzed. The findings indicate that the spread of systemic risks between banks is closely related to the interbank network structures. With the relatively concentrated interbank network structure, it is easier to increase the probability and degree of risk contagion. Under the random, small-world, and scale-free networks, the random network has the strongest ability to resist and absorb risks, while the small-world network is the weakest. However, once the banking network suffers a big shock, excessive risk will directly break through the protection of the banking network, detonate the systematic risk, and destroy the stability of the banking system with shadow banking. This study contributes to a future empirical research agenda on the topic. Moreover, it gives a reference for policymakers and regulatory authorities to prevent systemic risk introduced by shadow banking.


2015 ◽  
Vol 3 (1) ◽  
pp. 48
Author(s):  
Elona Shehu ◽  
Elona Meka

The quality of the loan portfolio in Albanian banking system is facing many obstacles during the last decade. In this paper we look at possible determinants of assets quality. During the recent financial crisis commercial banks were confronted with deteriorating asset quality that threatened not only the banking industry, but also the stability of the entire financial system. This study aims to examine the correlation between non-performing loans and the macroeconomic determinants in Albania during the last decade. NPLs are considered to be of a high importance as they represent the high risk exposure of banking system. A solid bank with healthy assets increases the market efficiency. Our approach is based on a panel data regression analysis technique from 2005-2015. Within this methodology this study finds robust evidence on the existing relationship between lending interest rate, real GDP growth and NPLs. We expect to find a negative relationship between lending interest rate and asset quality. Further we assume an inverse relationship between GDP growth and non-performing loans, suggesting that NPLs decrease if the economy is growing. Furthermore this study proposes a solution platform, which looks deeper into the possibility of creating a secondary active market for troubled loans, restructuring the banking system or implementing the Podgorica model. This research paper opens a new lieu of discussion in terms of academic debates and decision-making policies.


Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1597
Author(s):  
Violeta Cvetkoska ◽  
Katerina Fotova Čiković ◽  
Marija Tasheva

The aim of this paper is to evaluate the relative efficiency of commercial banks in three developing countries in Europe (North Macedonia, Serbia, and Croatia) in the period from 2015 to 2019, and to provide targets for improvement for the inefficient banks by using DEA. The variables are selected under the income-based approach. Based on the output-oriented BCC model, unusual results are obtained for a few commercial banks in each country, that is, they are BCC relative efficient, which is contrary to the real situation. In order to identify outliers that can affect the efficiency results, a super-efficiency procedure is applied so that banks with a super-efficiency score higher than 1.2 (outliers) or for which a feasible solution was not found are considered in detail and removed, and then the output-oriented BCC model is rerun. Based on the obtained results, the Macedonian commercial banking system shows the highest efficiency (91.1%), followed by the Croatian (90.9%) and the Serbian (81.9%) banking system. The estimated targets for improvement of the inefficient commercial banks could help their top bank management in better resource allocation and making fact-based and faster decisions by which they can improve the operation of the banks they lead and contribute to the stability of the financial system.


2021 ◽  
Vol 27 (8) ◽  
pp. 1694-1709
Author(s):  
Vladimir K. BURLACHKOV

Subject. The article addresses the non-banking financial intermediation (shadow banking system) as it is successfully expanding nowadays both in developed countries and emerging economics. Objectives. The study aims at conducting a comprehensive analysis of the specifics of non-banking financial intermediation, revealing its impact on economic agents’ activities, causes and consequences, and elaborating the methodological framework for effectiveness of modern monetary policy. Methods. I employ methods of scientific abstraction, induction, deduction, synthesis, and comparative analysis. Results. In the modern national economy, along with the money, created by the central bank and commercial banks, there are highly liquid financial instruments called shadow money. The scope of its application is shadow banking (financial intermediation) outside the banking system. The use of shadow money is caused by high demand for credit resources. Conclusions. The high activity of shadow banking and increased turnover of shadow money resulted from a transfer to Basel standards of banking regulation in the 1990s, which affected the lending activity of commercial banks. Under these conditions, the demand for loans provided by non-bank credit and financial institutions increased. The market of non-bank credit products was formed. However, the process of lending in the shadow banking is associated with high risks and non-stability of shadow money, widely used in this sphere.


2016 ◽  
Author(s):  
Majid Haghani Rizi ◽  
Narayan K. Kishor ◽  
Hardik Marfatia

Author(s):  
E.J. Chang ◽  
S.M. Guerra ◽  
E.J.A. Lima ◽  
B.M. Tabak
Keyword(s):  

2015 ◽  
Vol 6 (2) ◽  
pp. 15 ◽  
Author(s):  
Arash Riasi

<p>This paper tries to find out why shadow banking system has become so competitive in the global financial system and how it can be controlled. For this reason we use Porter’s diamond model to find the competitive advantages of shadow banking. Based on the results of this study it can be concluded that factor conditions, chance and government do not contribute to the competitiveness of shadow banking industry. On the other hand the results suggested that related and supporting industries, firm strategy, structure and rivalry, and demand conditions contribute to the competitiveness of shadow banking industry. It is important to regulate the activities of shadow banking industry in order to prevent this industry from creating systemic risk.</p>


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