Alternative Data for Auto Companies
There is a wide variety of alternative data that can be applied to the automotive sector to obtain granular fundamental insights.
There is a wide variety of alternative data that can be applied to the automotive sector to obtain granular fundamental insights.
FISD Alternative Data Council/Greenwich Report: A Guide to Alternative Data
The following examples show various types of alt data that can be applied to gaming related stocks. Sample Companies that the data can be applied to are Ubisoft, Electronic Arts, Activision, Take Two.
We summarized expert responses to the question: "Is AWS the best cloud solution for working with alternative data, or are Azure and GCP viable alternatives?โ
In increasingly efficient markets, the challenge for investment professionals to generate value beyond commoditized smart beta factors has intensified. This has put a spotlight on creating alternative datasets from big data and extracting value not already reflected in the market.
The legal battle between HiQ and Microsoft continues, with HiQ filing a brief last week requesting the Supreme Court deny LinkedIn Corpโs petition for a writ of certiorari in the prior Ninth Circuit ruling.
Hinesh Kalian is the Director of Data Science at Man Group. Man Group manages around $123 billion worth of assets and is a FTSE 250 company.
Data from PatentSight highlighted how ZOOX had become an innovation leader in the nascent autonomous driving market and was a good use case for private equity companies to use patent data to find technology leaders to invest in.
On June 25th, 2020, we hosted an alpha workshop on web-crawled. Our Webinar speakers were Maura Pape, Herb Blank, and Jan Kinne. All our speakers have a unique approach to using crawled data in financial markets.
In this report we present 15 consumer transaction use cases for long term fundamental investors.
This article summarizes expert responses to the question: "What are the various techniques for measuring ROI on alternative data?โ
We discussed some of the ways we can speed up code in Python like Numba or Cython. However, it is important to note that it often requires time to rewrite the code to maximise the speed up.