Blog

In a recent webinar, FINCAD and TP ICAP brought together their collective experience in helping firms optimally navigate the Libor transition. “ A Look Inside the Libor Transition: Combining High Quality Market Data and Powerful Financial Analytics,” featured speakers, Irina Orlova, CFA, Senior Product Manager, Risk at TP ICAP Data Analytics, and Jonathan Rosen, PhD, Product Manager, Quantitative

Last weekend, the clearing houses changed their pricing methodology on $80 trillion in Libor interest-rate swaps by switching to a new benchmark rate, known as the secured overnight financing rate, or SOFR, for the purpose of discounting the cashflows. Previously the Fed Funds rate was used for discounting. The switch, which was referred to in a recent Bloomberg article as a “big bang” is

The world is changing fast! It’s becoming easier than ever, at least technologically speaking, to partner with best of breed solution providers to deliver functionality that will delight your clients. From boosting speed to market for feature sets and new products, to meeting immediate client needs, most companies realize they need to work with an ecosystem of trusted providers. And, it can be an

Python is rapidly becoming the world’s most popular programming language. Its versatility and ease of use have promoted extensive adoption throughout the financial industry. And it’s safe to say that Python has become the multi-purpose tool of choice for quantitative analysts and other financial technologists worldwide. So, why has Python seen such rapid adoption in the financial industry? Here

Cloud platforms have become the dominant force in the technology industry. In fact, the public cloud is where the majority of new firms deploy their applications and servers. Much has been written in the last decade about the numerous benefits of cloud computing, and the drawbacks are mitigated more and more each year. FINCAD has embraced cloud platforms and for many years used them to develop