Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-07-10 about option-adjusted spread, corporate, and USA.

View the spread between a computed option-adjusted index of all BBB-rated bonds and a spot Treasury curve.

United States - ICE BofA US Corporate Index Option-Adjusted Spread was 0.87% in June of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA US Corporate Index Option-Adjusted Spread reached a record high of 6.56 in December of 2008 and a record low of 0.53 in October of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA US Corporate Index Option-Adjusted Spread - last updated from the United States Federal Reserve on June of 2025.

United States - ICE BofA AA US Corporate Index Option-Adjusted Spread was 0.50% in June of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA AA US Corporate Index Option-Adjusted Spread reached a record high of 5.15 in November of 2008 and a record low of 0.36 in October of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA AA US Corporate Index Option-Adjusted Spread - last updated from the United States Federal Reserve on July of 2025.

United States - ICE BofA BBB US Corporate Index Option-Adjusted Spread was 1.03% in July of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA BBB US Corporate Index Option-Adjusted Spread reached a record high of 8.04 in December of 2008 and a record low of 0.72 in August of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA BBB US Corporate Index Option-Adjusted Spread - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for ICE BofA Euro High Yield Index Option-Adjusted Spread (BAMLHE00EHYIOAS) from 1997-12-31 to 2025-07-10 about option-adjusted spread, Euro Area, Europe, yield, interest rate, interest, rate, and indexes.

Graph and download economic data for ICE BofA Asia Emerging Markets Corporate Plus Index Option-Adjusted Spread (BAMLEMRACRPIASIAOAS) from 1998-12-31 to 2025-07-11 about Asia, sub-index, emerging markets, option-adjusted spread, corporate, and USA.

Graph and download economic data for ICE BofA BB US High Yield Index Option-Adjusted Spread (BAMLH0A1HYBB) from 1996-12-31 to 2025-07-10 about BB, option-adjusted spread, yield, interest rate, interest, rate, and USA.

Graph and download economic data for ICE BofA 3-5 Year US Corporate Index Option-Adjusted Spread (BAMLC2A0C35Y) from 1996-12-31 to 2025-06-20 about 3 to 5 years, option-adjusted spread, corporate, and USA.

Graph and download economic data for ICE BofA 7-10 Year US Corporate Index Option-Adjusted Spread (BAMLC4A0C710Y) from 1996-12-31 to 2025-07-10 about 7 to 10 years, option-adjusted spread, corporate, and USA.

The Over-the-Counter (OTC) Commodity Trading Platform market is experiencing robust growth, driven by increasing demand for efficient and transparent trading solutions. The market's size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of electronic trading platforms, increasing globalization of commodity markets, and the growing need for sophisticated risk management tools among both institutional and retail investors. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning is enhancing trading efficiency and facilitating data-driven decision-making, further boosting market expansion. The increasing volatility in commodity prices also necessitates the use of efficient OTC platforms for hedging and speculation, contributing to the market's positive growth trajectory. Several key segments within the OTC Commodity Trading Platform market are contributing to this expansion. These include energy commodities (crude oil, natural gas), precious metals (gold, silver, platinum), and agricultural commodities (corn, wheat, soybeans). The market's geographical spread is also significant, with North America, Europe, and Asia-Pacific representing key regional hubs. Leading players in this dynamic market landscape include GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, CMC Markets, Saxo Bank, Ibg Holdings, L.L.C., City Index, XXZW Investment Group SA, eToro, and StoneX, each vying for market share through product innovation and strategic partnerships. The competitive landscape is characterized by ongoing technological advancements and a focus on providing clients with enhanced trading experiences. The forecast period of 2025-2033 suggests continuous expansion, albeit at a potentially moderating pace as the market matures.

Graph and download economic data for ICE BofA 1-3 Year US Corporate Index Option-Adjusted Spread (BAMLC1A0C13Y) from 1996-12-31 to 2025-07-10 about 1 to 3 years, option-adjusted spread, corporate, and USA.

Lucror Analytics: Proprietary Company Financial Data for Credit Quality & Bond Valuation

At Lucror Analytics, we provide cutting-edge corporate data solutions tailored to fixed income professionals and organizations in the financial sector. Our datasets encompass issuer and issue-level credit quality, bond fair value metrics, and proprietary scores designed to offer nuanced, actionable insights into global bond markets that help you stay ahead of the curve. Covering over 3,300 global issuers and over 80,000 bonds, we empower our clients to make data-driven decisions with confidence and precision.

By leveraging our proprietary C-Score, V-Score , and V-Score I models, which utilize CDS and OAS data, we provide unparalleled granularity in credit analysis and valuation. Whether you are a portfolio manager, credit analyst, or institutional investor, Lucror’s data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess market trends.

What Makes Lucror’s Company Financial Data Unique?

Proprietary Credit and Valuation Models Our proprietary C-Score, V-Score, and V-Score I are designed to provide a deeper understanding of credit quality and bond valuation:

C-Score: A composite score (0-100) reflecting an issuer's credit quality based on market pricing signals such as CDS spreads. Responsive to near-real-time market changes, the C-Score offers granular differentiation within and across credit rating categories, helping investors identify mispricing opportunities.

V-Score: Measures the deviation of an issue’s option-adjusted spread (OAS) from the market fair value, indicating whether a bond is overvalued or undervalued relative to the market.

V-Score I: Similar to the V-Score but benchmarked against industry-specific fair value OAS, offering insights into relative valuation within an industry context.

Comprehensive Global Coverage Our datasets cover over 3,300 issuers and 80,000 bonds across global markets, ensuring 90%+ overlap with prominent IG and HY benchmark indices. This extensive coverage provides valuable insights into issuers across sectors and geographies, enabling users to analyze issuer and market dynamics comprehensively.

Data Customization and Flexibility We recognize that different users have unique requirements. Lucror Analytics offers tailored datasets delivered in customizable formats, frequencies, and levels of granularity, ensuring that our data integrates seamlessly into your workflows.

High-Frequency, High-Quality Data Our C-Score, V-Score, and V-Score I models and metrics are updated daily using end-of-day (EOD) data from S&P. This ensures that users have access to current and accurate information, empowering timely and informed decision-making.

How Is the Company Financial Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights:

Proprietary Models: Our scores are derived from proprietary quant algorithms based on CDS spreads, OAS, and other issuer and bond data.

Global Data Partnerships: Our collaborations with S&P and other reputable data providers ensure comprehensive and accurate datasets.

Data Cleaning and Structuring: Advanced processes ensure data integrity, transforming raw inputs into actionable insights.

Primary Use Cases

1. Portfolio Construction & Rebalancing Lucror’s C-Score provides a granular view of issuer credit quality, allowing portfolio managers to evaluate risks and identify mispricing opportunities. With CDS-driven insights and daily updates, clients can incorporate near-real-time issuer/bond movements into their credit assessments.

2. Portfolio Optimization The V-Score and V-Score I allow portfolio managers to identify undervalued or overvalued bonds, supporting strategies that optimize returns relative to credit risk. By benchmarking valuations against market and industry standards, users can uncover potential mean-reversion opportunities and enhance portfolio performance.

3. Risk Management With data updated daily, Lucror’s models provide dynamic insights into market risks. Organizations can use this data to monitor shifts in credit quality, assess valuation anomalies, and adjust exposure proactively.

4. Strategic Decision-Making Our comprehensive datasets enable financial institutions to make informed strategic decisions. Whether it’s assessing the fair value of bonds, analyzing industry-specific credit spreads, or understanding broader market trends, Lucror’s data delivers the depth and accuracy required for success.

Why Choose Lucror Analytics? Lucror Analytics is committed to providing high-quality, actionable data solutions tailored to the evolving needs of the financial sector. Our unique combination of proprietary models, rigorous sourcing of high-quality data, and customizable delivery ensures that users have the insights they need to make sm...

Graph and download economic data for ICE BofA AA US Corporate Index Option-Adjusted Spread (BAMLC0A2CAA) from 1996-12-31 to 2025-07-10 about AA, option-adjusted spread, corporate, and USA.

Graph and download economic data for ICE BofA Emerging Markets Corporate Plus Index Option-Adjusted Spread (BAMLEMCBPIOAS) from 1998-12-31 to 2025-07-10 about emerging markets, option-adjusted spread, corporate, indexes, and USA.

Graph and download economic data for ICE BofA Euro High Yield Index Effective Yield (BAMLHE00EHYIEY) from 1997-12-31 to 2025-07-10 about Euro Area, Europe, yield, interest rate, interest, rate, and indexes.

Graph and download economic data for Moody's Seasoned Baa Corporate Bond Yield Relative to Yield on 10-Year Treasury Constant Maturity (BAA10Y) from 1986-01-02 to 2025-07-10 about Baa, spread, 10-year, maturity, bonds, Treasury, yield, corporate, interest rate, interest, rate, and USA.

Graph and download economic data for ICE BofA BBB US Corporate Index Effective Yield (BAMLC0A4CBBBEY) from 1996-12-31 to 2025-07-11 about BBB, yield, corporate, interest rate, interest, rate, and USA.

View data of the effective yield of an index of non-investment grade publically issued corporate debt in the U.S.

Graph and download economic data for ICE BofA Single-A US Corporate Index Effective Yield (BAMLC0A3CAEY) from 1996-12-31 to 2025-07-11 about A Bond Rating, yield, corporate, interest rate, interest, rate, and USA.