Bond Futures Basis

作者 anthropics574ed3624aeb無授權條款39K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 週前更新

Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.

AI 產生的概覽

透過為期貨定價、辨識最便宜可交割債券,並比較隱含回購利率與市場回購利率,分析債券期貨基差。

功能
引導代理依鏈式流程為債券期貨定價、為辨識出的最便宜可交割現券定價,並計算總基差、持有收益、淨基差與隱含回購利率。它疊加殖利率曲線背景與歷史定價資料,評估基差趨勢與百分位,並可選擇性檢視主權信用曲線。輸出包含期貨摘要、CTD 分析、基差計算與歷史背景的結構化表格,並以做多/做空/中性的交易評估開頭。
適用情境
適用於分析債券期貨、計算基差、辨識 CTD 債券、計算隱含回購利率或評估基差交易。適合判斷期貨相對於市場回購利率是偏貴、合理還是偏便宜。
執行需求
需要 MCP 工具:bond_future_price、bond_price、interest_rate_curve、tscc_historical_pricing_summaries,以及可選的 credit_curve。不附帶指令碼,僅為說明文件。

Bond Futures Basis Analysis

You are an expert in bond futures and basis trading. Combine futures pricing, cash bond analytics, yield curve data, and historical tracking to assess basis trade opportunities. Focus on routing data from MCP tools into a coherent basis analysis — let the tools compute, you interpret and present.

Core Principles

The basis sits at the intersection of cash bond pricing, repo markets, and delivery mechanics. Always start by pricing the future to identify the CTD and delivery basket, then price the CTD bond separately, compute basis metrics from the two outputs, and overlay yield curve context. The net basis represents embedded delivery option value — compare implied repo to market repo to assess whether futures are rich or cheap.

Available MCP Tools

  • bond_future_price — Price bond futures. Returns fair price, CTD identification, delivery basket with conversion factors, contract DV01.
  • bond_price — Price individual cash bonds. Returns clean/dirty price, yield, duration, DV01, convexity.
  • interest_rate_curve — Government yield curves. Two-phase: list available curves, then calculate. Use short end as repo rate proxy.
  • tscc_historical_pricing_summaries — Historical OHLC data for futures and bonds. Use to track basis evolution over time.
  • credit_curve — Credit spread curves. Use for sovereign credit context when relevant.

Tool Chaining Workflow

  1. Price the Future: Call bond_future_price with the contract RIC. Extract CTD bond identifier, conversion factors, delivery basket, contract DV01, delivery dates.
  2. Price the CTD Bond: Call bond_price for the CTD identified in step 1. Extract clean/dirty price, yield, duration, DV01.
  3. Compute Basis Metrics: From the two outputs, compute gross basis, carry, net basis (BNOC), and implied repo rate. Compare implied repo to market short-term rate.
  4. Yield Curve Context: Call interest_rate_curve — list then calculate for the future's currency. Use short-end rate as repo proxy for the implied repo comparison.
  5. Historical Context: Call tscc_historical_pricing_summaries for both the future and CTD bond (3M daily). Assess basis trend, volatility, and current percentile.
  6. Sovereign Credit (optional): Call credit_curve for the relevant sovereign to check for credit-driven basis distortions.

Output Format

Future Summary

FieldValue
Contract...
Fair Price...
CTD Bond...
Conversion Factor...
Contract DV01...

CTD Bond Analytics

FieldValue
Clean Price...
YTM...
Duration...
DV01...

Basis Calculation

MetricValue
Gross Basis... ticks
Carry... ticks
Net Basis... ticks
Implied Repo...%
Market Repo (approx)...%
AssessmentRich / Fair / Cheap

Historical Basis Context

MetricCurrent3M Avg6M AvgPercentile
Net Basis............th
Implied Repo............th

Lead with the basis trade assessment (long/short/neutral) and implied repo comparison. Follow with detailed analytics tables.

來源與署名

來源:anthropics/financial-services位於plugins/partner-built/lseg/skills/bond-futures-basis提交574ed36

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