The influx of alternative data offerings have created new challenges for asset managers, researchers and analysts. How can data intelligence be consumed in the most efficient and affordable manner?
A smart portfolio feed is a personalized model portfolio product which combines orthogonal datasets “handpicked” by a machine-learning classifier into an actionable and accessible investment offering. A portfolio feed is a file which contains a portfolio’s point-in-time asset allocation specific to an investment mandate – based on customer’s input such as target asset universe, investment style (active, passive long, short, or long/short etc), portfolio concentration, turnover goals, and risk tolerance.
In this webinar, we uncover the necessary steps to construct such a portfolio scientifically. We have also planned time for a Q&A session on anything machine learning, alternative data adoption and data science in finance.
Whether you’re an alt data skeptic or a fan, this is your chance to put forth any questions you’ve been wanting to ask.