Yield curve and spread decomposition
Government yields are split into expected short rates and term premia with affine term structure models, and credit spreads into expected loss and risk premia, so a repricing can be read by its source.
GRA · Capital Markets Nexus
空間金融資本がハザード、エクスポージャー、移行と出会う場所
Financial economics explains how prices, risk premia and balance sheets turn shocks into market moves. In capital markets it is used to decompose yields and spreads, to model how leverage and margin amplify selling, and to trace how stress in one asset class reaches others, with each estimate’s assumptions and label stated.
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 capital markets and investment and financial stability, financial economics traces how physical, health or cyber shocks transmit to credit, sovereign debt and markets. It informs macroprudential policy and the pricing of risk. The canonical description is on STEM コモンズ.
Government yields are split into expected short rates and term premia with affine term structure models, and credit spreads into expected loss and risk premia, so a repricing can be read by its source.
Balance sheet models trace how a price fall raises margins and haircuts, forces sales by leveraged holders and pushes prices further, with the behavioural assumptions written down.
Measures such as conditional value at risk and marginal expected shortfall describe which institutions contribute most to system-wide stress, reported as estimates with their sample periods.
リスク責任者、監督当局、財務省が求めるエクスポージャー、損失、シナリオ、資本のビューと、それらが報告の根拠とする枠組み。構造は監督実務とアクチュアリー実務に従います。値は例示であり、価格、格付け、助言では決してありません。
The indicators a risk officer, supervisor or ministry of finance reads first on financial economics for capital markets.
| 指標 | 単位 | 想定する読者 | 枠組み |
|---|---|---|---|
| CET1 比率 | リスク加重資産に対する % | 銀行、監督当局 | バーゼル枠組み |
| 流動性カバレッジ比率 | ストレス下の流出額に対する % | 銀行、中央銀行 | バーゼル枠組み |
| ソルベンシー比率 | ソルベンシー資本要件に対する % | 保険会社、監督当局 | IAIS 保険基本原則 |
| コンバインド・レシオ | 既経過保険料に対する % | 保険会社 | アクチュアリー実務 |
| 保護ギャップ | 経済損失のうち保険でカバーされない割合 | 保険会社、財務省 | 公表された損失統計 |
| 公的債務 | GDP 比 % | 財務省、IMF | 債務持続可能性フレームワーク |
| 総資金調達ニーズ | 年間の GDP 比 % | 財務省、投資家 | 債務持続可能性フレームワーク |
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 出典の登録簿.
| データ | 役割 | ラベル |
|---|---|---|
| Government bond yields and swap rates | Yield curve and term premium estimation | 観測 |
| Corporate bond prices and spreads | Credit spread decomposition | 観測 |
| Financial accounts by sector | Sector balance sheets and leverage | 公表統計 |
| Equity returns of financial institutions | Market-based システミック・リスク measures | 観測 |
Process explorer · Process
10 steps·4 段階
プロセス
PRISMA 2020 はシステマティック・レビューのための報告ガイドラインです。ステップは義務づけられた順序ではなくそのチェックリストに従っており、これを採用している Nexus の文書はありません。
報告書Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.
| 確認 | 実施方法 |
|---|---|
| Out-of-sample stress testing | Models are fitted on one period and tested on stress episodes not used in estimation |
| Specification comparison | Term premium and spread decompositions are compared across model specifications and the range is reported |
| Reconciliation with supervisory data | Market-based estimates are compared with published supervisory aggregates where they exist |
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
金融安定性 stewards financial economics and macro-finance for the Consortium and reviews how it is applied across platforms.
Reports 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.
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