Quantitative Model Data | 3,300+ Global Issuers | Datasets for Quant Models | Quant-driven Portfolio Construction | Quantitative Risk Management product image in hero

Quantitative Model Data | 3,300+ Global Issuers | Datasets for Quant Models | Quant-driven Portfolio Construction | Quantitative Risk Management

Lucror Analytics
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Bond Name
Region
Issuer C-Score
Issue V-Score
Issue V-Score I
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Sign In To Preview Data
Volume
80K
Bonds
Data Quality
99%
Data Accuracy
Avail. Formats
.json, .csv, and .xls
File
Coverage
250
Countries
History
10
years

Data Dictionary

[Sample] Quantitative Model Data.csv
Attribute Type Example Mapping
String 3M Co Company Name
String MMM Company ID
Bond Name
String MMM 3 5/8 10/15/47
String US88579YAZ43 Company ID
Region
String North America
String United States Country Name
String Industrials Company Industry
String Industrial Products Company Industry
Issuer C-Score
Float 84.73
Issue V-Score
Float 0.34
Issue V-Score I
Float -3.5

Description

Quantitative Model Data covering 3,300+ global issuers and 80,000+ bonds. Offers proprietary insights into credit quality (CDS-driven) and bond fair value (OAS-driven), ideally suited as input for quant-driven portfolio construction and implementation of quantitative investing strategies.
Lucror Analytics: Proprietary Quantitative Model Data for Credit Quality & Bond Valuation At Lucror Analytics, we provide cutting-edge corporate data solutions tailored to fixed income professionals and organizations implementing quant-driven strategies. Our quantitative model data sets 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 with robust quantitative model data 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 quantitative model data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess market trends. What Makes Lucror’s Quantitative Model Data Unique? Proprietary Credit and Valuation Models Developed for Quantitative Investing Strategies 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. These models provide the foundational quantitative model data for fixed income strategies aimed at outperforming benchmarks. Comprehensive Global Coverage Our quantitative model data sets 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 using quantitative model data. Quantitative Model 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 quant model data integrates seamlessly into your workflows. High-Frequency, High-Quality Quantitative Model 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 quantitative model data, empowering timely and informed decision-making. How Is the Quantitative Model Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights: Proprietary Quantitative 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 factor-based investing data sets. Cleaning and Structuring of Quantitative Model Data: Advanced processes ensure data integrity, transforming raw inputs into actionable factor-based investing insights. Primary Use Cases 1. Quant-driven 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 using quantitative model data. 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 with quantitative model data. 3. Risk Management Updated daily, Lucror’s quantitative model data provides 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 quantitative model 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 quantitative model data delivers the depth and accuracy required for success. Why Choose Lucror Analytics for Quantitative Model Data? 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 smarter decisions with quantitative model data. By choosing Lucror Analytics, you can: - Access nuanced credit quality and bond valuation metrics. - Identify mispricing opportunities within and across industries using with quantitative model data. - Incorporate market-driven data into your workflows. - Enhance risk management and regulatory compliance efforts. Whether you’re navigating complex credit markets, optimizing portfolios, or meeting regulatory demands, Lucror Analytics equips you with the tools to succeed in today’s dynamic financial environment through cutting-edge quantitative model data. Contact us today to learn how our quantitative model data solutions can empower your strategic objectives.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

10 years of historical data

Volume

3,300 Global Bond Issuers
80,000 Bonds

Pricing

Free sample available
10% discount if you buy via Datarade
Revenue share is available at 20%
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
99%
Data Accuracy
90%
Bond Indices Overlap

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls
.sql

Use Cases

Portfolio Construction
Quantitative Investing
Portfolio Analysis Portfolio Optimization Portfolio Management

Categories

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Frequently asked questions

What is Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management?

Quantitative Model Data covering 3,300+ global issuers and 80,000+ bonds. Offers proprietary insights into credit quality (CDS-driven) and bond fair value (OAS-driven), ideally suited as input for quant-driven portfolio construction and implementation of quantitative investing strategies.

What is Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management used for?

This product has 5 key use cases. Lucror Analytics recommends using the data for Portfolio Construction, Quantitative Investing, Portfolio Analysis, Portfolio Optimization, and Portfolio Management. Global businesses and organizations buy Bond Data from Lucror Analytics to fuel their analytics and enrichment.

Who can use Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Bond Data. Get in touch with Lucror Analytics to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management go?

This product has 10 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Lucror Analytics is headquartered in Singapore.

How much does Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management cost?

Pricing information for Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management is available by getting in contact with Lucror Analytics. Connect with Lucror Analytics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management?

Businesses can buy Bond Data from Lucror Analytics and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Lucror Analytics can deliver this product in .json, .csv, .xls, and .sql format.

What is the data quality of Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management?

Lucror Analytics has reported that this product has the following quality and accuracy assurances: 99% Data Accuracy, 90% Bond Indices Overlap. You can compare and assess the data quality of Lucror Analytics using Datarade’s data marketplace.

What are similar products to Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management?

This product has 3 related products. These alternatives include Quantitative Model Data Credit Quality Bond Fair Value 3,300+ Global Issuers 80,000+ Bonds Portfolio Construction Risk Management, Opoint Quantitative Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions Quant, and EDI Global Corporate Actions Data for Bonds Debt & Fixed Income Instruments Coupons/ Defaults/ Options/ Maturity 60 Event Types History Avail.. You can compare the best Bond Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available