2020
DOI: 10.3390/e22050588
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Systemic Importance of China’s Financial Institutions: A Jump Volatility Spillover Network Review

Abstract: The investigation of the systemic importance of financial institutions (SIFIs) has become a hot topic in the field of financial risk management. By making full use of 5-min high-frequency data, and with the help of the method of entropy weight technique for order preference by similarities to ideal solution (TOPSIS), this paper builds jump volatility spillover network of China’s financial institutions to measure the SIFIs. We find that: (i) state-owned depositories and large insurers display SIFIs according to… Show more

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Cited by 12 publications
(6 citation statements)
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“…Due to the lack of available data, while the quantitative method has become a trend in economy related issues [39][40][41][42][43][44][45], most of the researches belong to qualitative analysis in Convention and Exhibition industry area, and we try to utilize the following spatial econometric model to investigate the exact relationship between financial flexibility and investment. e first step of studying the existence of the spatial spillover effect is correctly setting the spatial econometric model.…”
Section: Benchmark Model Settings and Descriptionsmentioning
confidence: 99%
“…Due to the lack of available data, while the quantitative method has become a trend in economy related issues [39][40][41][42][43][44][45], most of the researches belong to qualitative analysis in Convention and Exhibition industry area, and we try to utilize the following spatial econometric model to investigate the exact relationship between financial flexibility and investment. e first step of studying the existence of the spatial spillover effect is correctly setting the spatial econometric model.…”
Section: Benchmark Model Settings and Descriptionsmentioning
confidence: 99%
“…This information is required to measure the weight of the decision criteria and effective information contained in the known data. The entropy weight method has been applied in various fields, such as supplier selection [ 19 ], prediction of the unfrozen water content [ 20 ], building material supplier selection [ 18 ], jump volatility spillover network [ 21 ], children’s physical activity and human development index [ 22 ], fog-haze factor assessment [ 23 ] as well as test case prioritization [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Despite growing stronger being in a group for each member, it would itself be a major factor to spread a problem of each member within the whole group. One of the most important issues in businesses is the prediction of this significant shift during a financial crisis [ 4 , 5 , 6 , 7 , 8 ]. This has been considered in previous studies with a variety of approaches [ 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%