SKU and POS data power operational decisions across the retail value chain: demand forecasting and replenishment, promotion effectiveness, assortment optimization, store clustering and staffing, and shrink / loss analysis.
Macro funds and Commodity Trading Advisors (CTAs) have been rapidly evolving, adapting to changes in financial markets, and leveraging new sources of information to gain a competitive edge.
Alternative datasets can be used to analyze trade patterns, track the movement of goods and services across borders, and measure the economic impact of trade policies and agreements.
The case studies explore India's digital transformation across finance, retail, and food delivery. Satellite data is also shown to track retail and manufacturing activity in India, and options data is used to analyze retail investor sentiment.
India's economy is growing rapidly, driven by strategic government initiatives, rising incomes, and increasing foreign investments. The country’s evolving financial ecosystem, supported by structural reforms and technological advancements, is attracting global investors and fostering innovation
This article is part two of a two-part series exploring the alternative data landscape in Japan covering timely case studies vendors submitted for this report and a breakdown of leading vendors for this region.
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.
Japan's economic and investment landscape has undergone significant transformations over the decades. The recent efforts to revitalize the economy have faced mixed results in addressing inflation and fostering growth.
This short report introducing the application of alternative data for investment research, considers two novel methods of analyzing a company using employee perception and customer experience insights.
This report reviews what we believe to be the key quant-relevant datasets accessible via our Explorer platform. These datasets have a minimum of five years of history, are mapped to tickers, and are point-in-time with coverage of over 100 tickers.
In this report, we present data vendors who provide raw filings and transcripts feeds for the sophisticated end of the market enabling quants to build their own NLP or AI/ML models.
Short interest refers to the total number of outstanding Shares that asset managers have sold short and have not closed out yet. It indicates the expectation that the price of a particular security will decline.
