scholarly journals Monetary Policy, Industry Heterogeneity and Systemic Risk—Based on a High Dimensional Network Analysis

2019 ◽  
Vol 11 (22) ◽  
pp. 6222
Author(s):  
Su ◽  
Huang ◽  
Drakeford

We utilized a high dimensional financial network to investigate the systemic risk contagion between different industries in China and to explore the impacts of monetary policy and industry heterogeneity factors. The empirical results suggest that the total level of systemic risk increased quite significantly during the 2008 global crisis and the 2015–2016 Stock Market Disaster. The energy, material, industrial, and financial sectors are the top systemic risk contributors. Industry heterogeneity variables such as the leverage ratio, book-to-market ratio, return on assets (ROA) and size have significant impacts on the systemic risk, but their effects on the systemic risk contribution are more pronounced than those on the systemic risk sensitivity. Moreover, monetary policy can effectively suppress the systemic risk diffusion derived from the leverage ratio. These results are essential for investors and regulators of risk management.

Author(s):  
Raheel Mumtaz ◽  
Quaisar Ijaz Khan ◽  
M.Farooq Rehan

Purpose: This study designs to examine the determinants (size, liquidity ratio, leverage ratio, deposit ratio, asset growth, net interest income ratio and return on asset ratio) of bank’s systemic risk. We use the data of listed commercial banks of the South Asian countries (Pakistan, Bangladesh, and India). Design/Methodology/Approach: The sample consists 30 banks from Bangladesh, 87 banks from India and 22 banks from Pakistan. This study covers the period from 2006 to 2018. The data is collected from the published annual reports of banks and stock exchanges of respective country. The panel data analysis is performed for the estimation of research models. Findings: The findings demonstrate that larger banks contribute lower in the systemic risk of banks. Additionally, highly liquid banks enhance the systemic risk of the banking system. Moreover, the banks with greater reliance on the deposits, net interest income and with high return on asset reduce the systemic risk contribution of the banks. Implications/Originality/Value: This study provides the justification to devise the banking policies like enhance the proportion of liquidity among assets, reliance on net interest income and promote the financing needs through deposits to limit the systemic risk contribution of the banking system.                                                            


2016 ◽  
Vol 76 (4) ◽  
pp. 512-531 ◽  
Author(s):  
Xiaoguang Feng ◽  
Dermot Hayes

Purpose Portfolio risk in crop insurance due to the systemic nature of crop yield losses has inhibited the development of private crop insurance markets. Government subsidy or reinsurance has therefore been used to support crop insurance programs. The purpose of this paper is to investigate the possibility of converting systemic crop yield risk into “poolable” risk. Specifically, this study examines whether it is possible to remove the co-movement as well as tail dependence of crop yield variables by enlarging the risk pool across different crops and countries. Design/methodology/approach Hierarchical Kendall copula (HKC) models are used to model potential non-linear correlations of the high-dimensional crop yield variables. A Bayesian estimation approach is applied to account for estimation risk in the copula parameters. A synthetic insurance portfolio is used to evaluate the systemic risk and diversification effect. Findings The results indicate that the systemic nature – both positive correlation and lower tail dependence – of crop yield risks can be eliminated by combining crop insurance policies across crops and countries. Originality/value The study applies the HKC in the context of agricultural risks. Compared to other advanced copulas, the HKC achieves both flexibility and parsimony. The flexibility of the HKC makes it appropriate to precisely represent various correlation structures of crop yield risks while the parsimony makes it computationally efficient in modeling high-dimensional correlation structure.


2018 ◽  
Vol 18 (3) ◽  
pp. 195-224 ◽  
Author(s):  
Martin Hodula ◽  
Lukáš Pfeifer

Abstract In this paper, we shed some light on the mutual interplay of economic policy and the financial stability objective. We contribute to the intense discussion regarding the influence of fiscal and monetary policy measures on the real economy and the financial sector. We apply a factor-augmented vector autoregression model to Czech macroeconomic data and model the policy interactions in a data-rich environment. Our findings can be summarized in three main points: First, loose economic policies (especially monetary policy) may translate into a more stable financial sector, albeit only in the short term. In the medium term, an expansion-focused mix of monetary and fiscal policy may contribute to systemic risk accumulation, by substantially increasing credit dynamics and house prices. Second, we find that fiscal and monetary policy impact the financial sector in differential magnitudes and time horizons. And third, we confirm that systemic risk materialization might cause significant output losses and deterioration of public finances, trigger deflationary pressures, and increase the debt service ratio. Overall, our findings provide some empirical support for countercyclical fiscal and monetary policies.


Author(s):  
Xavier Freixas ◽  
Luc Laeven ◽  
José-Luis Peydró

2019 ◽  
Vol 12 (3) ◽  
pp. 327-341
Author(s):  
Bipin Kumar Dixit

Purpose The purpose of this paper is to examine the operating performance of Indian using difference-in-difference (DD) methodology. It, further, examines whether there is a difference in the operating performance of acquirers doing partial and full acquisitions. Design/methodology/approach Four different benchmark criteria are used to select control firms, namely, size, size and industry, size and leverage, and size and book-to-market ratio. To measure the operating performance, return on assets (ROA) is calculated as the ratio between earnings before depreciation, interest, tax and amortization (EBDITA) and total assets (TA), expressed in percentage. This paper examines the ROA of event and control firms for three years in each pre- and post-acquisition period and finally compares them using the DD method. Findings Using a sample of Indian acquirers, the results show that the operating performance of Indian acquirers neither improves nor deteriorates after accounting for an appropriate benchmark. Operating performance of event firms significantly reduces in the post-acquisition period. However, non-acquiring firms of similar size and pre-operating performance also exhibit similar results. Finally results show that, the operating performance of acquirers making full acquisitions deteriorates. Originality/value It provides insights into the operating performance of Indian acquirers with an improved methodology, which accounts for the performance of control firms. The author also uses multiple matching criteria to find control firms to overcome the possible bias of the results dependent on the matching criteria. To the best of the author’s knowledge, the author could not find other studies comparing the operating performance of acquirers making partial and full acquisitions.


2020 ◽  
pp. 1-22
Author(s):  
Xiao-Li Gong ◽  
Xiong Xiong ◽  
Wei Zhang

Author(s):  
NI LUH KOMANG AYU PRADNYANI ◽  
I NYOMAN GEDE USTRIYANA ◽  
I GUSTI AYU AGUNG LIES ANGGRENI

Analysis of Finece Performance Base on Fund Finance Ratio of PT. BPR. Saptacristy UtamaRural Banks (BPR) is a formal financial institution that has a function as a financialintermediary, especially on the national microfinance system. The study aimed tofind out the financial performance of PT. BPR. Saptacristy Utama when it wasanalyzed based on the financial ratios during the period of 2011 to 2015. Based onthe results of the financial analysis, liquidity ratio is categorized good, when viewedfrom the average cash ratio and the average loans to deposit ratio. The solvency ratiois said to be good, judging by the average capital adequacy ratio. Activity ratio isquite good when viewed from the multiplier leverage ratio and asset utilization ratiothat continue to increase. The profitability ratio is classified to be good,as can beseen on the average net profit margin, return on assets and return on equity. PT. BPR.Saptacristy Utama is expected to maintain its financial performance by strengtheningits business activities to increase the amount of its assets, the amount of thedistribution of funds in the form of loans and the placement of funds in other banksshould also be increased, revenue of operations and profits for subsequent yearsshould beincreased, as well as improving sale and service to its customers andprospective customers.


2018 ◽  
Vol 27 (5) ◽  
pp. 522-540 ◽  
Author(s):  
Łukasz Kurowski ◽  
Paweł Smaga

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