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全球债券指数Global Bond Indices

规模 + 质量 + 创新 + 贡献 四维加权模型 · 排名更新日期:2026-10-20Four-dimensional weighted model (Scale + Quality + Innovation + Contribution) · Last updated: 2026-10-20

综述Overview

The bond market is the cornerstone of the capital market and the core financial infrastructure of national economic operation. The government-bond yield curve is the pricing anchor of global financial assets—it is both the benchmark of the risk-free interest rate and the hub on which monetary-policy transmission, fiscal financing, and risk management depend. Corporate and municipal bonds directly channel long-term capital to the real economy and infrastructure, connecting savings with investment and supporting growth and employment. A bond market that is deep, broad, and stable is a key yardstick of a country's financial maturity and comprehensive national strength.
债券市场是资本市场的基石与国民经济运行的核心金融基础设施。国债收益率曲线是全球金融资产的定价之锚——它既是无风险利率的基准,也是货币政策传导、财政融资与风险管理赖以运转的枢纽。公司债与市政债则直接为实体经济与基础设施输送长期资本,连接储蓄与投资,支撑增长与就业。一个深度、广度高且稳定运转的债券市场,是衡量一国金融成熟度与综合国力的关键标尺。
This index starts from underlying public data and constructs a "Scale + Quality + Innovation + Contribution" four-dimensional weighted model to evaluate 20 major bond markets worldwide. The Scale dimension examines bond-market stock; the Quality dimension integrates sovereign credit quality and yield stability; the Innovation dimension measures the development level of green and sustainable bonds; and the Contribution dimension focuses on the bond market's financing-support function for the real economy and infrastructure. The model does not simply rank by scale; instead, it makes "scale, credit quality, green innovation, and real-economy contribution" balance one another, seeking to depict a bond market's comprehensive strength of being "large, stable, innovative, and useful".
本指数从底层公开数据出发,构建"规模 + 质量 + 创新 + 贡献"四维加权模型,对全球 20 个主要债券市场进行评价。规模维度考察债券市场存量;质量维度综合主权信用质量与收益率稳定性;创新维度衡量绿色与可持续债券的发展水平;贡献维度聚焦债券市场对实体经济与基础设施的融资支持功能。模型不简单以规模排序,而是让"规模体量、信用质量、绿色创新、实体贡献"四者相互制衡,力求刻画一个债券市场"又大、又稳、又新、又有用"的综合实力。
Evaluation results: the United States, China, Japan, Germany, and France rank in the top five. Overall, developed markets with large stock, sound credit, and green innovation rank highest, while emerging markets with considerable scale but weaker credit, higher volatility, and lagging sustainable bonds rank lower. This ranking is based mainly on public data from international institutions and national authorities, supplemented by approximate values from public knowledge, marked "subject to official sources", permanently free and public, and provided for research and reference only.
评价结果:美国、中国、日本、德国、法国 位列前五。整体看,存量庞大、信用稳健且兼具绿色创新的发达市场居前;规模可观但信用偏弱、波动较高、可持续债券滞后的新兴市场靠后。本排名数据以国际机构与各国官方公开数据为主、公开知识近似值为辅,标注"以官方为准",永久免费公开,仅供研究与参考。

分层梯队Tiers

A++ 前二 A+ 三至六 A 七至十二 B 其余Rest

全球 20 大债券市场排名Ranking of the World's 20 Largest Bond Markets

排名市场债券指数规模分质量分创新分贡献分存量(万亿$)主权评级梯队
1美国United States92.5100.075.0100.0100.053.0AA+A++
2中国China79.5273.977.596.574.020.0A+A++
3日本Japan57.8853.476.050.444.99.0A+A+
4德国Germany54.1928.190.068.425.43.0AAAA+
5法国France54.1631.376.079.030.83.5AAA+
6韩国South Korea47.9421.983.060.921.42.2AAA+
7加拿大Canada47.5521.987.554.419.32.2AAAA
8荷兰Netherlands46.4212.890.060.917.01.3AAAA
9英国United Kingdom45.7827.468.563.721.42.9AAA
10澳大利亚Australia42.3217.287.539.914.61.7AAAA
11瑞士Switzerland39.3810.295.032.66.51.1AAAA
12意大利Italy37.4425.944.060.921.42.7BBBA
13瑞典Sweden36.77.590.027.99.40.9AAAB
14西班牙Spain36.1517.255.057.914.61.7AB
15新加坡Singapore33.990.997.522.30.00.5AAAB
16比利时Belgium31.494.474.036.53.40.7AAB
17印度India29.824.443.527.919.32.5BBB-B
18墨西哥Mexico13.127.525.59.76.50.9BBBB
19巴西Brazil10.918.20.015.212.11.8BBB
20印度尼西亚Indonesia5.620.016.50.03.40.45BBB-B

算法详细论述Methodology

一、评价依据

This algorithm does not copy the positions of any public list; instead, it uses underlying public data of bond markets as raw material, sets its own weights, and computes the ranking independently. The evaluation revolves around four dimensions:
本算法不摘抄任何公开榜单名次,而是以债券市场的底层公开数据为原料,自设权重、自算排名。评价围绕四个维度展开:
  1. 规模:债券市场存量规模,反映市场深度与体量,是定价能力与融资容量的基础。
  2. 质量:主权信用质量(评级)与收益率稳定性(波动率),反映"无风险利率锚"的可靠程度。
  3. 创新:绿色债券/可持续债券的累计发行规模,反映市场在可持续发展转型中的前沿贡献。
  4. 贡献:非政府债券(公司债等)存量,反映债券市场对实体经济与基础设施的直接融资支持功能。

二、数学模型

Each indicator is first mapped to [0,1] by range standardization (or log-transformation) and then weighted and summed. The three wide-ranging indicator categories of Scale, Innovation, and Contribution are log-transformed to prevent leading markets from monopolizing the whole:
各指标先经极差标准化(或对数化)映射到 [0,1],再加权求和。规模、创新、贡献三类大跨度指标取对数,避免头部市场垄断全局:
规模指数 M = norm( log₁₀(1 + 存量规模) ) 质量指数 Q = 0.60 · norm(信用评级) + 0.40 · norm(1 − 收益率波动率) 创新指数 G = norm( log₁₀(1 + 绿色债券累计发行) ) 贡献指数 F = norm( log₁₀(1 + 非政府债券存量) ) 债券指数 = 100 × ( 0.30·M + 0.30·Q + 0.20·G + 0.20·F )
Here norm(·) is range standardization: x′ = (x − min) / (max − min). Scale and Quality each account for 30% (volume and soundness are the market's foundations), while Innovation and Contribution each account for 20% (green transition and real-economy financing reflect the market's value for the times).
其中 norm(·) 为极差标准化:x′ = (x − min) / (max − min)。规模与质量各占 30%(体量、稳健是市场根基),创新与贡献各占 20%(绿色转型与实体融资体现市场的时代价值)。

三、指标与权重依据

指标方向权重所属维度依据
债券市场存量规模对数正向规模 0.30规模市场深度与体量;对数避免头部垄断
主权信用评级正向质量 0.60质量信用质量;无风险锚的可信度
收益率波动率反向质量 0.40质量收益率稳定性;波动越低越稳定
绿色/可持续债券累计发行对数正向创新 0.20创新绿色转型前沿贡献
非政府债券存量对数正向贡献 0.20贡献对实体/基建的融资支持

四、数据来源与局限性

Stock size and corporate-bond stock refer to the Bank for International Settlements (BIS) debt-securities statistics and public data from central banks and finance ministries of each country; sovereign ratings synthesize S&P, Moody's, and Fitch; cumulative green-bond issuance refers to the Climate Bonds Initiative (CBI) and green-bond market data of each country; yield volatility is an approximate value from public knowledge. All the above values are approximate values from public common knowledge, marked "subject to official sources", and there are differences across calibers (total vs. government-bond caliber, market value vs. face value, and local-currency conversion exchange rates). This model does not include inflation-linked bonds, derivatives, or the granular structure of offshore markets, and the approximate values contain errors; the ranking is for research and reference only.
存量规模、公司债存量参考国际清算银行(BIS)债务证券统计与各国央行/财政部公开数据;主权评级综合标普、穆迪、惠誉;绿色债券累计发行参考气候债券倡议组织(CBI)及各国绿债市场数据;收益率波动率为公开知识近似值。上述数值均为公开常识近似值,标注"以官方为准",不同口径(全口径与国债口径、市值与面值、本币折算汇率)存在差异。本模型未纳入通胀挂钩债、衍生产品、离岸市场细分结构,近似值存在误差,排名仅供研究与参考。

五、参考文献

  1. 国际清算银行(BIS):Debt Securities Statistics(债务证券统计)。
  2. 国际货币基金组织(IMF):Global Financial Stability Report(全球金融稳定报告)。
  3. 世界银行(World Bank):World Development Indicators(世界发展指标)。
  4. 气候债券倡议组织(Climate Bonds Initiative, CBI):绿色与可持续债券市场报告。
  5. 标准普尔(S&P)、穆迪(Moody's)、惠誉(Fitch):主权信用评级。
  6. 各主要经济体中央银行、财政部及债务管理办公室:国债与债券市场统计公报。

说明Notes

本版采用"规模 + 质量 + 创新 + 贡献"四维加权模型(非单一规模排序):①规模指数 M = norm(log₁₀(1+存量规模)),对数处理避免头部垄断;②质量指数 Q = 0.60·信用评级′ + 0.40·收益率稳定性′(波动率反向),刻画"无风险利率锚"的可靠度;③创新指数 G = norm(log₁₀(1+绿色债券累计发行));④贡献指数 F = norm(log₁₀(1+非政府债券存量)),衡量对实体经济的融资支持;⑤综合债券指数 = 100×(0.30M + 0.30Q + 0.20G + 0.20F)。数据:存量、公司债、评级、绿债为国际机构与官方公开数据,收益率波动率为公开知识近似值,均以官方为准。
This edition uses a four-dimensional weighted model of 'Scale + Quality + Innovation + Contribution': Composite Score = 100 × (0.12·log number of films + 0.18·log box office + 0.15·word-of-mouth + 0.10·awards + 0.10·genre innovation + 0.10·technology/VFX + 0.10·domestic films + 0.08·main-theme/cultural export + 0.07·industry-driven impact), with each indicator normalized to 0–1 and linearly summed; large-span scale indicators (number of films, box office) are log-transformed to avoid top-heavy concentration. Data are public approximate values, subject to official figures; the word-of-mouth, awards, innovation, and contribution dimensions contain subjective scoring components and carry some error. The ranking covers roughly 20 major Chinese film companies, with data as of 2026-10-20. This ranking does not copy any public ranking's placements; weights, algorithm, and data sources are all public and reproducible. It is permanently free and public, and will never sell rankings.