我国石油、黄金、房地产和金融部门间系统风险动态溢出效应研究
Research on the system risk spillover effects among crude oil, gold, estate and financial sectors in China
查看参考文献40篇
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文摘
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金融系统作为一个开放系统,其稳定性受到多个行业的影响.研究金融部门之间,以及金融部门与其他市场之间的传染机制对于维护金融体系的稳定性具有重要意义.使用在险价值(VaR)测度尾部风险,本文采用以时变TVP-VAR模型为基础的方差分解溢出指数框架研究了中国石油、黄金、房地产及四个金融部门之间的系统风险传染效应.研究结果表明:1)资产间总溢出指数(TSI)高达81.37%,表明尾部损失在金融系统中具有很强的传染性.2)石油和银行分别是系统冲击的最大净传递者和最大净接收者,房地产行业对银行部门具有最大的正向净溢出效应.3)市场波动率(VIX)和期限利差(TS)均对总溢出指数(TSI)具有很强的解释能力.投资者和监管机构应当充分重视股票与债券市场在系统风险预警中的重要作用. |
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其他语种文摘
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As an open system, the stability of the financial system is affected by many markets. It is of great significance to study the infection mechanism between financial markets, or between financial departments and the other markets to maintain the stability of the financial system. This paper uses value at risk (VaR) to measure the tail risk, and investigates the risk contagion effects among China's crude oil, gold, real estate and four financial sectors, adopting the variance decomposition spillover index framework based on TVP-VAR model. The results indicate that: 1) the total spillover index (TSI) among the analyzed assets is as high as 81.37%, suggesting that tail loss is highly infectious in the financial system. 2) crude oil and bank are the largest net transmitter and the largest net receiver of the system shocks, respectively. The real estate industry has the largest positive net spillover effect on the banking sector. 3) Market volatility (VIX) and term spread (TS) have strong explanatory ability to the total spillover index (TSI). Investors and regulators should pay full attention to the important role of stock and bond markets in systemic risk early warning. |
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来源
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系统工程理论与实践
,2022,42(10):2603-2616 【核心库】
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DOI
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10.12011/SETP2021-2322
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关键词
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系统风险
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溢出效应
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总溢出指数
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在险价值
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房地产
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地址
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1.
长沙理工大学数学与统计学院, 工程数学建模与分析湖南省重点实验室, 长沙, 410114
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中南大学商学院, 长沙, 410083
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-6788 |
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学科
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社会科学总论 |
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基金
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国家自然科学基金
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湖南省自然科学基金
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国家教育部人文社会科学研究项目
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文献收藏号
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CSCD:7328027
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参考文献 共
40
共2页
|
|
1.
Xiao J H. Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index.
Energy Economics,2018,74:777-786
|
CSCD被引
7
次
|
|
|
|
|
2.
Chan H L. An investigation into the dynamic relationship between international and China's crude oil prices.
Applied Economics,2016,48(24):2215-2224
|
CSCD被引
1
次
|
|
|
|
|
3.
Wen X. Which is the safe haven for emerging stock markets, gold or the us dollar?.
Emerging Market Review,2018,35:69-90
|
CSCD被引
2
次
|
|
|
|
|
4.
Diebold F X. Better to give than to receive: Predictive directional measurement of volatility spillovers.
International Journal of Forecasting,2012,28(1):57-66
|
CSCD被引
90
次
|
|
|
|
|
5.
Diebold F X. On the network topology of variance decompositions: Measuring the connectedness of financial firms.
Journal of Econometrics,2014,182(1):119-134
|
CSCD被引
107
次
|
|
|
|
|
6.
Forbes K. No contagion, only interdependence: Measuring stock market comovements.
The Journal of Finance,2002,57(5):2223-2261
|
CSCD被引
55
次
|
|
|
|
|
7.
宫晓莉. 我国金融机构系统性金融风险度量与外溢效应研究.
管理世界,2018(8):65-82
|
CSCD被引
1
次
|
|
|
|
|
8.
Xu Q. Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach.
Physica A: Statistical Mechanics and its Applications,2019,534:122173
|
CSCD被引
4
次
|
|
|
|
|
9.
Liang Q. Business connectedness or market risk? Evidence from financial institutions in China.
China Economic Review,2020,62:101503
|
CSCD被引
3
次
|
|
|
|
|
10.
刘向丽. 房地产对金融体系风险溢出效应研究-基于AR-GARCH-CoVaR方法.
系统工程理论与实践,2014,34(S1):106-111
|
CSCD被引
10
次
|
|
|
|
|
11.
李仲飞. 我国房地产业对金融风险行业的风险溢出效应研究.
计量经济学报,2021,1(3):577-594
|
CSCD被引
4
次
|
|
|
|
|
12.
王辉. 基于内部视角的中国房地产业与银行业系统性风险传染测度研究.
国际金融研究,2015(9):76-85
|
CSCD被引
2
次
|
|
|
|
|
13.
杨子晖. 我国金融机构系统性金融风险度量与跨部门风险溢出效应研究.
金融研究,2018(10):19-37
|
CSCD被引
27
次
|
|
|
|
|
14.
孙翎. 房地产行业对金融机构的系统性风险溢出效应研究一基于行业与企业综合视角的实证分析.
南方经济,2019(12):33-48
|
CSCD被引
2
次
|
|
|
|
|
15.
王粟旸. 外部冲击视角下中国银行业和房地产业风险传染性测度.
管理学报,2012(7):968-974
|
CSCD被引
2
次
|
|
|
|
|
16.
Lin L. Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach.
The North American Journal of Economics and Finance,2019,50:101035
|
CSCD被引
1
次
|
|
|
|
|
17.
Mensi W. Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets.
Energy Economics,2021,98:105262
|
CSCD被引
2
次
|
|
|
|
|
18.
Liao J. Dynamic spillovers across oil, gold and stock markets in the presence of major public health emergencies.
International Review of Financial Analysis,2021,77:101822
|
CSCD被引
2
次
|
|
|
|
|
19.
Diebold F X. Measuring financial asset return and volatility spillovers, with application to global equity markets.
The Economic Journal,2009,119(534):158-171
|
CSCD被引
43
次
|
|
|
|
|
20.
Wu F. Systemic risk and financial contagion across top global energy companies.
Energy Economics,2021,97:105221
|
CSCD被引
2
次
|
|
|
|
|
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