Using Alternative Data to Analyze Automotive Stocks
On September 17th, we were joined by Babel Street Data, AutoScout24, and Ereteam who discussed how different type of alternative data can be used for the analysis of automotive stocks.
On September 17th, we were joined by Babel Street Data, AutoScout24, and Ereteam who discussed how different type of alternative data can be used for the analysis of automotive stocks.
This article is part two of a two-part series exploring alternative data for autos. It covers case studies showcasing applications of various alternative data categories as well as vendor comparisons with unique selling points for each highlighted.
This report aims to educate newcomers to the alternative/external data space coming from the construction sector and provide some clear and relevant use cases supplied by data providers and hosted on our data discovery platform.
Despite challenges such as supply chain disruptions and inflation, strategic investments in technology and data analytics are essential for CPG companies to thrive. The sector's future hinges on adaptability, innovation, and understanding consumer preferences.
Consumer staples or CPG (consumer packaged goods) encompass essential products crucial to consumers, including foods, beverages, household items, hygiene products, alcohol, and tobacco.
The report traces the evolution of options trading, highlighting modern challenges posed by meme stocks and 0DTE options. It emphasizes the role of data and leading vendors in refining trading strategies, illustrated through real-world case studies.
Fixed income securities traditionally include bonds, treasuries, and other debt instruments. When evaluating these securities, asset managers estimate creditworthiness and risk-return characteristics, yield curves, interest rates, and macroeconomic factors.
Following the decision made on the LinkedIn vs. hiQ Labs case, it seems like the web scraping world has changed its focus to the Ryanair and Booking.com case involving screen scraping.
Pricing datasets contain information on the prices of various products or services. These datasets typically include information such as the vendor, product name, unit price, currency, and date.
Pricing data is widely used by investors as the data has broad macro and equity applications. Pricing data is a particularly useful input into fundamental analysis of companies, particularly in consumer-related markets.
REalyse collects, standardizes, and integrates residential property data in the UK for house sales and rentals. REalyse data consists of over 500 residential datasets with history to 1995 and can be analyzed down to postcode/zip code, days on market, and various demographic attributes.
Using RE Analytics data on Eagle Edge investors can monitor pricing trends and SKU level data by channel and by geography for luxury goods companies. This data would have helped inform investors of positive fundamentals and individual brand momentum for Kering in the June quarter of 2019.