Quantifi & Intel
Quantifi announced that, for the second consecutive year, it has been named to FinTech Global’s WealthTech100 list of the most innovative technology solution providers for asset managers, private banks and financial advisors. The standout companies were chosen by a panel of industry experts and analysts who reviewed an analysis of over 1,000 WealthTech companies undertaken by FinTech Global, a data and research firm. read more
Quantifi has won three awards at the Waters Buy-Side Technology Awards 2020. This is the second consecutive year that Quantifi has won Best Buy-Side Pricing/Valuation Service and the coveted Best Overall Buy-Side Product. In addition to these awards, Quantifi also picked up the title of Best Buy-Side Portfolio Analysis Tool. These awards recognise the market-leading technologies designed to manage the various risks and challenges buy-side firms face, while also allowing them to maximize their operational efficiency. read more
Quantifi has announced the latest release of its software, Version 18, which includes 304 new features and enhancements. This latest release provides superior performance, new BI reporting capabilities and includes the next-generation of risk analytics powered by data science. Version 18 also introduces features to help clients accelerate their IBOR transition programme with confidence. read more
This blog is taken from the Quantifi webinar 'Next Generation Risk Technology Powered by Data Science’. In Part 2 of this blog explores how Quantifi is leveraging data science and summarises the key trends shaping data science practices within a trading and risk management context. Read More
Quantifi has been named as one of the leading FinTech companies in the WealthTech100 2020 awards. The WealthTech100 is an annual list of the most influential companies transforming the wealth and asset management industries produced by FinTech Global. The report is built using detailed analysis across a number of factors including technology innovation, company growth and the ability to generate cost savings or efficiency improvements for clients. read more
One of the key shortcomings of the first two Basel Accords is that they approached the solvency of each institution independently. The recent crisis highlighted the additional ‘systemic’ risk that the failure of one large institution could cause the failure of one or more of its counterparties, which could trigger a chain reaction.
In this article, CSI speak to Rohan Douglas, CEO of Quantifi, regarding how Quantifi operates and also engage in discussions around market challenges and developments.
Q: How do you differentiate yourself from your competitors?
A: One differentiating factor is that our technology infrastructure was built from the ground up. Whereas other vendors may offer, for example, add-on scenario analysis functions, we can produce faster results because it has always been an integral part of the risk engine. Equally, our analytics library was built on a .Net platform, so performance has always been a key element of the product. Another differentiator is that we bring on board experienced people from the industry, so we better understand the nature of our clients' needs.
The loan credit-default swap contract is similar to a corporate credit-default swap contract except for two key differences. The first is the underlying reference obligation of an LCDS is a secured loan while the underlying reference obligation of a CDS is an unsecured bond. As such, the recovery on the event of a default for an LCDS is expected to be significantly higher than that of a CDS.
Credit-linked notes can't be said to have risk-free collateral any more. In this article Dmitry Pugachevsky, Director of Research, Quantifi, suggests pricing them using techniques developed for bank counterparty risk.
One of the challenges in investing in credit linked notes (CLN) is the shortage of high quality debt for funding. This article explores a new type of trade - CLNs with risky collateral. It highlights that by taking into account all possible risk, including uncertainty of market value at early redemption, one can calculate values and sensitivities of such products, and trade them consistently as traditional CLNs.