technology

Quantifi Wins Best Risk Management Solution HFM US Hedge Fund Technology Awards

22 February 2018

Quantifi has been named ‘Best Risk Management Solution’ in the HFM US Hedge Fund Technology Awards. The winners were selected based on their product development, technology innovation, revenue growth and customer satisfaction. These awards recognise technology providers, serving the hedge fund sector that have demonstrated exceptional customer service and innovative product development over the past 12 months. read more

FRTB: Moving Towards a Practical Implementation

Wednesday, February 14, 2018
FRTB is set to revolutionise current market risk practices, placing emphasis on the coordination of operational, risk and data management processes as well as systems and technology. To best respond to these new demands, banks need to make the right ... read more

Quantifi Named Best Pricing & Analytics Product at Risk.net Market Technology Awards

Wednesday, January 3, 2018

Quantifi has won the front-office technology award for Pricing & Analytics: fixed income, currencies and credit at the Risk.net Market Technology Awards. These awards reflect the contribution made by technology providers that support trading or investment in the listed, OTC derivatives and cash markets. read more

Quantifi and Monocle Whitepaper Explores the Challenges Associated with the FRTB

Monday, November 13, 2017

This paper highlights the main changes being introduced by the new market risk standards and the related challenges in terms of data management, modelling and technology. The Fundamental Review of the Trading Book (FRTB) heralds a new era in bank risk management, making it one of the most critical items on a bank’s to-do list for the immediate future and beyond. This paper highlights the enormity of the data and modelling requirements imposed by FRTB as well as its impact on banks’ risk and systems architecture.  read more

Applying Vectorisation to CVA Aggregation

Thursday, November 2, 2017
Join Quantifi and Intel for this complimentary webinar on vectorisation. New challenges in the financial markets driven by changes in market structure, regulations and accounting rules like Basel III, EMIR, Dodd Frank, MiFID II, Solvency II, IFRS... read more

FRTB - Moving Towards a Practical Implementation

Wednesday, November 1, 2017

In January of 2016, the evolution of FRTB culminated in the Basel Committee on Banking Supervision (BCBS) publishing the finalised standards, titled Minimum Capital Requirements for Market Risk. The new standards replaced the existing regulatory framework for market risk and go beyond just dealing with quantitative measurement of risk. FRTB is set to revolutionise current market risk practices, placing emphasis on the coordination of operational, risk and data management processes as well as systems and technology. Read More

FRTB: Moving Towards a Practical Implementation

Wednesday, October 25, 2017

by Quantifi & Monocle

FRTB is set to revolutionise current market risk practices, placing emphasis on the coordination of operational, risk and data management processes as well as systems and technology. To best respond to these new demands, banks need to make the right strategic and technology decisions and assess the impact on operations and processes across risk, front office, finance and IT. This paper highlights the main changes being introduced by the new market risk standards and the related challenges in terms of data management, modelling and technology.
 

Quantifi’s Latest Release Strengthens Front-to-Middle Performance, Transparency and Scalability

Wednesday, August 2, 2017

Quantifi today announced the release of Quantifi Version 15 (V15). This release leverages the latest technology and introduces a broad range of enhancements and support for the latest regulatory requirements including expanded product coverage, advanced data management and next generation analytics. With over 100 new features, this release is designed to further enhance front-to-middle performance, transparency and scalability. read more

Vectorization, Part 3: Applying Vectorization to CVA Aggregation

Monday, July 10, 2017

As noted, the Finance domain provides many good candidates for vectorization. A particularly good example is the aggregation of Credit Value Adjustment (CVA) and other measures of counterparty risk. The most common general purpose approach to calculation of CVA is based on a Monte-Carlo simulation of the distribution of forward values for all derivative trades with a counterparty. The evolution of market prices over a series of forward dates is simulated, then the value of each derivative trade is calculated at that forward date using the simulated market prices. Read More