Data / Data Quality
If you have ever thought, “maybe we should collect and store our own data, so that we can have control over it,” or you think that all risk platforms are basically the same when it comes to data, we offer a look behind the scenes at what is involved in building and maintaining comprehensive datasets.
Offering valuable insight into the priorities and challenges facing prime brokers, broker dealers and clearers, this report is a summary of the discussion during the Margin, Collateral and Data Round Table, sponsored by Imagine Software on Thursday 25th March 2021.
Broker-dealers understand the importance of producing accurate margin calculations for their clients’ accounts, but they need to know more than just how much margin each client must post; they need to know why the margin system came up with a given result.
Those responsible for maintaining a margin system often feel that they are drowning in data management issues. In part two of this series we discuss ways to make margin calculations far more efficient and meet the firm’s need for answers in real-time.
Computing, optimizing and monitoring real-time margin requirements across a multitude of instruments and customer accounts is a Herculean task. In this article, Imagine discusses the key challenges in this arena and will dive deeper into the specifics of solving its challenges.
Global cloud-based portfolio, risk and margin solutions provider Imagine Software has announced the expansion of its asset class offering to structured product issuers and traders.
Imagine Software Expands Asset-Class Coverage and Delivers Cloud-Based Solution for Structured Products
New models and workflows support structured products combined with cost and operational efficiencies of Imagine’s cloud-based solution.
Steven Harrison, President of Imagine Software, and Bruce Zulu, Director of Technical Support Services for the Business Intelligence division at Panopticon’s parent company, Altair, explain the collaboration and how it benefits clients.
At first glance, constructing a volatility surface looks like a straightforward exercise – a closer look reveals there is a great deal more to consider.