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GRA · Banking Nexus

空间金融资本与危害、风险暴露和转型的交汇之处

面向银行风险的金融经济学

Financial economics and macro-finance explain how bank balance sheets, credit and asset prices interact with output, employment and public finances. In banking risk they connect a scenario to losses and capital, show how bank stress feeds back into the economy, and ground macroprudential and monetary decisions in tested relationships.

01登记

Financial economics for banking risk on the record.

方法记录STEM 方法
  1. 方法金融经济学与宏观金融
  2. 管理者金融稳定
  3. 应用于Banking Nexus
  4. 规范页面STEM 公共资源
02申请

What financial economics and macro-finance does here.

Financial economics and macro-finance study how asset prices, credit and financial institutions interact with the real economy. They explain how shocks are amplified or absorbed through balance sheets and markets. In financial stability, capital markets and investment and climate and hazards, financial economics traces how physical, health or cyber shocks transmit to credit, sovereign debt and markets. It informs 宏观审慎政策 and the pricing of risk. The canonical description is on STEM Commons.

Macro-financial stress scenarios

Scenario variables such as unemployment, interest rates and property prices are translated into default rates, loss rates and income for each portfolio, then into capital paths under the supervisor’s or the bank’s own assumptions.

Credit cycle and buffer calibration

Credit gaps, debt service ratios and lending survey responses are combined to judge the phase of the credit cycle and to inform countercyclical buffer and borrower-based measure settings.

Climate pathways to bank balance sheets

NGFS macroeconomic and carbon price pathways are mapped to sector revenues, costs and asset values, and then to borrower credit quality over long horizons.

03压力测试

资产冲击如何演变为系统性损失。

银行间传染之后系统损失的权益,相对于最初的冲击,随杠杆、互联程度和回收率变化而变化,这是宏观审慎 压力测试的核心。这是带有明示示意数值的教学模型,不是预测。

控制措施

外部资产下降
2.0%
杠杆率(资产与权益之比)
10 倍
银行间资产占比
10%
银行间债权的回收
40%
体系内的银行
20
核心银行
占银行的 20%

读数

初始冲击造成的权益损失
18.0%
传染后的权益损失
45.0%
传染新增(DebtRank)
27.0 个点
违约银行
0
数字、方法与来源
轮次系统权益损失(%)违约银行
018.000
128.800
235.280
339.170
441.500
542.900
643.740
744.240
844.550
944.730
1044.840
1144.900
1244.940
1344.960
1444.980
1544.990
1644.990
1745.000
1845.000
1945.000
2045.000
2145.000
2245.000
2345.000
2445.000
2545.000
2645.000
2745.000
2845.000
2945.000
3045.000

方法

  1. DebtRank Battiston 等(2012),Scientific Reports 2:541
  2. 差异化 DebtRank Bardoscia and others (2015), PLOS ONE 10
  3. 金融网络中的传染 Gai and Kapadia (2010), Proc. R. Soc. A 466
  4. 金融网络中的清算 Eisenberg 和 Noe(2001),Management Science 47
  5. 不确定性扇形图(参数蒙特卡罗) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. 单因素敏感性(龙卷风图) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

数据

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

资产冲击如何演变为系统损失。示意性教学模型:它依据控件设定的数值运行,而不是实测数据。方法:DebtRank(Battiston 等(2012),Scientific Reports 2:541);Differential DebtRank(Bardoscia 等(2015),PLOS ONE 10);金融网络中的传染(Gai 和 Kapadia(2010),Proc. R. Soc. A 466)。
04数据

该方法使用的输入。

Datasets and records used by financial economics and macro-finance on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.

数据角色标签
Supervisory returns and Pillar 3 disclosuresStarting balance sheet of each bank已发布统计
National accounts and financial accountsSector balance sheets and income已发布统计
BIS credit and property price statisticsCredit cycle and collateral indicators已发布统计
NGFS scenario variablesTransition and physical risk pathways模型估算
Bank lending surveysCredit supply conditions已报告
05风险暴露、损失与资本

What financial economics for banking risk means for exposure, loss and capital.

风险官、监管者或财政部会要求的风险暴露、损失、情景和资本视图,以及它们据以报告的框架。结构遵循监管和精算实务。数值为说明性:绝非价格、评级或建议。

情景路径

How financial economics for banking risk could be stressed under the scenario families central banks and supervisors use.

有序无序温室世界202520302035204020452050高低
情景系列转型风险物理风险压力测试问什么
有序早期、渐进的政策较低账面能否承受持续的重新定价?
无序迟缓而突然的政策中低在突然重新定价和信用迁移下,什么会出现问题?
温室世界有限政策高且上升实体损失集中在抵押品和保险的哪些环节?
按 NGFS 定义的情景类别;曲线为示意性的综合压力指数,并非 NGFS 变量或预测。
NGFS 气候情景 · 央行与监管机构绿色金融网络IFRS S2 气候相关披露 · ISSBTCFD 建议 · 金融稳定理事会 TCFD有效管理气候相关金融风险的原则 · 巴塞尔银行监管委员会
06验证

结果如何核查。

Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.

核查如何开展
Back-testing against past episodesSatellite models are tested on whether they reproduce losses observed in previous downturns
Alternative specificationsResults are compared across model forms and variable choices, and the spread is reported
Feedback effectsSecond-round effects from bank deleveraging to the economy are modelled, or their absence is stated
Independent benchmarkProjections are compared with supervisory or third-party results for the same scenario

Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.

08管理责任

由谁维护该方法。

金融稳定 stewards financial economics and macro-finance for the Consortium and reviews how it is applied across platforms.

10问题

问题与解答。

What are the limits of financial economics and macro-finance in this field?
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
结果如何核查?
Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.
本页面上的数值是真实的吗?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
该方法还应用于何处?
维持社会运转的各个 规范方法页面 列出应用该方法的每个平台。
报告贡献

从本页贡献证据。

报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

全球风险联盟(Global Risks Alliance)Banking Nexus金融与保险准备度情景与压力测试
Banking Nexus

向联盟提出风险暴露或资本问题。

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