Skapiec.pl is one of Poland's first price comparison engine, created in October 2004. The website allows Internet users to compare item prices and other purchase-related conditions, such as delivery costs. In the rap and hip-hop category for October 2024, "Channel Orange" by Frank Ocean was the most popular CD in the comparison shopping engine. According to Skapiec.pl, the CD could be purchased for 35.99 zloty at its lowest price.

The article examines causal relationships between sovereign credit default swaps (CDS) prices for the BRICS and most important EU economies (Germany, France, the UK, Italy, Spain) during the European debt crisis. The cross-correlation function (CCF) approach used in the research distinguishes between causality-in-mean and causality-in-variance. In both causality dimensions, the BRICS CDS prices tend to Granger cause those of the EU counterparts with the exception of Germany. Italy and Spain exhibit the highest dependence on the BRICS, whereas only India has a negative balance of outgoing and incoming causal linkages among the BRICS. Thus, the paper underscores the signs of decoupling effects in the sovereign CDS market and also supports the view that the European debt crisis has so far had a limited non-EU impact in this market.

Skapiec.pl is one of Poland's first price comparison engine, created in October 2004. The website allows Internet users to compare item prices and other purchase-related conditions, such as delivery costs. In the pop category for October 2024, "Jedno masz serce" was the most popular product in the comparison shopping engine. According to Skapiec.pl, the product could be purchased for ***** zloty at its lowest price.

United States - Producer Price Index by Commodity for Miscellaneous Products: Audio Discs, Full-Length (Including CDs and Vinyl Records) was 104.80000 Index Dec 2010=100 in January of 2019, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity for Miscellaneous Products: Audio Discs, Full-Length (Including CDs and Vinyl Records) reached a record high of 106.40000 in March of 2014 and a record low of 99.20000 in July of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity for Miscellaneous Products: Audio Discs, Full-Length (Including CDs and Vinyl Records) - last updated from the United States Federal Reserve on July of 2025.

This dataset tracks annual reduced-price lunch eligibility from 2007 to 2022 for Cds Secondary vs. California and Los Angeles Unified School District

Mexico Consumer Price Index (CPI): Food: Meat: CDS: Chorizo data was reported at 174.203 Jun2002=100 in Dec 2010. This records an increase from the previous number of 173.542 Jun2002=100 for Nov 2010. Mexico Consumer Price Index (CPI): Food: Meat: CDS: Chorizo data is updated monthly, averaging 51.533 Jun2002=100 from Jan 1980 to Dec 2010, with 372 observations. The data reached an all-time high of 174.203 Jun2002=100 in Dec 2010 and a record low of 0.231 Jun2002=100 in Jan 1980. Mexico Consumer Price Index (CPI): Food: Meat: CDS: Chorizo data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I005: Consumer Price Index: 2002=100.

Between April 2021 and April 2025, the share price of Polish video game manufacturer CD Projekt fluctuated. The share price reached its high in April 2025 with more than *** zloty per stock.

Skapiec.pl is one of Poland's first price comparison engine, created in October 2004. The website allows Internet users to compare item prices and other purchase-related conditions, such as delivery costs. In the rock category for October 2024, the "Parachutes" CD by Coldplay was the most popular product in the comparison shopping engine. According to Skapiec.pl, the product could be purchased for 29.99 zloty at its lowest price.

This dataset tracks annual reduced-price lunch eligibility from 2022 to 2023 for Cds Home Street vs. California and Bishop Unified School District

Mexico Consumer Price Index (CPI): Food: Meat: CDS: Ham data was reported at 154.983 Jun2002=100 in Dec 2010. This records an increase from the previous number of 154.710 Jun2002=100 for Nov 2010. Mexico Consumer Price Index (CPI): Food: Meat: CDS: Ham data is updated monthly, averaging 35.223 Jun2002=100 from Jan 1973 (Median) to Dec 2010, with 456 observations. The data reached an all-time high of 154.983 Jun2002=100 in Dec 2010 and a record low of 0.063 Jun2002=100 in Jan 1973. Mexico Consumer Price Index (CPI): Food: Meat: CDS: Ham data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I005: Consumer Price Index: 2002=100.

Graph and download economic data for Producer Price Index by Commodity for Miscellaneous Products: Audio Discs, Full-Length (Including CDs and Vinyl Records) (WPU159C01011) from Dec 2010 to Jan 2019 about recording, miscellaneous, commodities, PPI, inflation, price index, indexes, price, and USA.

Credit report of Cds Global Distribution Center contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

This dataset tracks annual reduced-price lunch eligibility from 2013 to 2023 for Cds Bishop High School vs. California and Bishop Unified School District

A study from 2025 on the prices paid for albums in the United Kingdom (UK) found that in 2024, the average album price across the market reached 15.95 British pounds, up from 15.10 British pounds the previous year—an increase of around 5.6 percent. Average prices were highest for specialists and independent retailers at 17.73 British pounds, followed by home delivery at 16.97 British pounds.

This statistic displays average music album retail prices in the United Kingdom (UK) from 2011 to 2016. During the period of consideration, the upward trend in the average retail price of albums can be observed, and the albums prices (including digital albums) ranged from **** British pounds in 2011 to **** British pounds in 2016. In 2015, the average retail price of albums (both physical and digital) was **** British pounds.

Lucror Analytics: Proprietary Bond Data 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 Bond 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 Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights:

Proprietary Bond Data 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 smarter decisions.

By choosi...

Lucror Analytics: Proprietary Risk Modelling 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 risk modelling data encompasses 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 risk modelling 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 risk modelling data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess credit risk.

What Makes Lucror’s Risk Modelling Data Unique?

Proprietary Credit and Valuation Models Developed for Risk Modelling 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 foundational risk modelling data for fixed income strategies aimed at outperforming benchmarks.

Comprehensive Global Coverage Our risk modelling data covers 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 credit risk and market dynamics comprehensively.

Risk Modelling 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 risk modelling data integrates seamlessly into your workflows.

High-Frequency, High-Quality Risk Modeling 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 risk modelling data, empowering timely and informed decision-making.

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

Proprietary Quantitative Risk 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 risk modelling datasets.

Cleaning and Structuring of Risk Modelling Data: Advanced processes ensure data integrity, transforming raw inputs into actionable credit risk insights.

Primary Use Cases

1. Risk Management Updated daily, Lucror’s risk modelling data provides dynamic insights into market and credit risks. Organizations can use this data to monitor shifts in credit quality, assess valuation anomalies, and adjust exposure proactively.

2. 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 risk modelling data.

3. 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 risk modelling data.

4. Strategic Decision-Making Our comprehensive risk modelling data enables financial institutions to make informed strategic decisions. Whether it’s assessing the fair value of bonds, analyzing industry-specific credit risk, or underst...

Credit report of Cds Hackner Gmbh contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Credit report of Cds S A De C V contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Credit report of Cds Professional Services contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.