As the finance industry trading volumes increase, end-of-day or even hourly modeling of position risks and portfolio exposures are not enough. Higher uncertainty and market volatility have been driving demands to significantly increase the performance interval of our risk analytics
Machine learning (ML) is becoming an important part of the technology toolkit in financial services. Companies are using these tools to better understand and evaluate models, find investment opportunities, expand portfolios, and adapt to rapidly changing market conditions. Perhaps the
Many of our clients that use front-to-back trading systems are running into functionality gaps, such as an instrument they want to trade is not supported, the software does not get updated frequently enough, or the platform has scalability and performance
Beacon Platform makes it easier to manage the elastic compute functionality of cloud providers. To help you keep track of compute usage as elastic CPU capacity automatically scales up and down, we have developed a simple management app. Available in
By Claus Murmann and Ben Merrett Since releasing CME Group’s DataMine plugin on the Beacon App Store last year, many customers have taken advantage of our integration with dataset from the world’s leading derivatives marketplace. We have recently added three
By Claus Murmann and Tony Yum Beacon Front Office Suite includes reference implementations of pricing models such as Black-Scholes, Ju and Zhong American option approximation, and binary trees. That said, some customers prefer to use their own pricing library and/or
