This report breaks down recent trends, academic research, leading alternative data vendors and case studies for the real estate market.
On September 20th, 2023, two leading vendors, SpiderRock and NewMark Risk, delivered presentations on trends and developments in the world of options and discussed how new data sources can be used to augment investment processes.
Dive into our latest report outlining the unfolding lucrative opportunity in the clean energy sector for hedge funds using alternative data, amidst a global shift propelled by investments set to reach $1.74 trillion USD by 2023.
The tech sector's recovery in 2023, marked by renewed interest in AI and advancements in various tech trends, illustrates its resilience and adaptability. As tech companies navigate through these trends, data-driven insights are invaluable in understanding the ever-changing dynamics of the market.
On August 22nd, we were joined by Reyhan Ayas, Senior Economist at Revelio Labs, Josef Schmalfuss, Director at Oxford Data Plan, and Gershon Rossman, Director of Customer Success at PeerSpot to discuss the current tech landscape.
Traditional methods of tracking inflation, such as official government reports and surveys, often have a time lag, which means that they might not capture real-time or recent changes in the economy. Alternative datasets can help bridge this gap.
On July 27th, 2023, we held an interactive data webinar where quant and fundamental data providers discussed use cases and fresh features. We had representatives from seven different vendors: aiQ, ETF Global, Fable Data, Macrobond, Nowcast, Pronto NLP, and SpiderRock.
Leveraging alternative datasets, investors can identify promising healthcare startups, assess the efficacy of new therapies, and predict market shifts with greater accuracy.
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.
In this article, we provide an overview of academic research in sector rotation strategies and discuss how alternative datasets can be used in sector rotation strategies. We highlight news sentiments, ETF flows, employment data, and satellite data.
On April 25th, we were joined by a range of AI and NLP experts to discuss the rise of generative AI and Large Language Models (LLMs). We specifically focused on how alternative data stakeholders have been adapting their operations across infrastructure, modeling, and application.
Financial data is a broad category that includes datasets that fall between traditional and alternative data. We have broken this data category into four key sub-categories: 1) tick and pricing data; 2) flow data; 3) fundamental data; and 4) trading signals.
