EMIR

How the Credit Crisis has Changed Counterparty Risk Management

Thursday, February 27, 2020

In this article, David Kelly, Director of Credit Products at Quantifi, discusses how the credit crisis and regulatory responses have forced banks to update their counterparty risk management processes substantially. New regulations in the form of Basel III, the Dodd-Frank Act in the U.S. and European Market Infrastructure Regulation (EMIR) have dramatically increased capital requirements for counterparty credit risk. CVA desks have been developed in response to crisis-driven regulations for improved counterparty risk management. How do these centralized groups differ from traditional approaches to manage counterparty risk, and what types of data and analytical challenges do they face?

Calculating the Effect of Funding Costs on OTC Valuation

Thursday, February 27, 2020

In this article, Rohan Douglas, CEO, Quantifi and Dmitry Pugachevsky, Director of research, Quantifi, discuss the costs of funding OTC valuation. The implementation of new regulations, including Dodd-Frank, MiFID II, EMIR and Basel III, is significantly increasing the cost of capital and forcing banks to re-evaluate the economics of their over-the-counter (OTC) trading businesses.

Market best practice implemented by the most sophisticated banks now accurately measures all the components of a trade to analyse its profitability, including credit valuation adjustment (CVA), the cost of regulatory capital and, most recently, funding valuation adjustment (FVA).

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

Wednesday, February 28, 2018

Quantifi has been named ‘Best Risk Management Solution’ in the HFM US Hedge Fund Technology Awards. 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

Quantifi Awarded Best Multi-Asset Trading & Portfolio Management System

Wednesday, August 23, 2017

Quantifi has been named Best Multi-Asset Trading & Portfolio Management System in Corporate Vision’s Technology Innovator Awards.  Winners were chosen through a combination of votes gathered from their network of respected industry partners, together with their in-depth and rigorous in-house research process. The underlying factors driving Quantifi’s success in the investment management space are new technology, advanced functionality and responsive client services. read more

Vectorisation: The Rise of Parallelism

Thursday, July 13, 2017

by Quantifi & Intel

New challenges in the financial markets driven by changes in market structure and regulations and accounting rules like Basel III, EMIR, Dodd Frank, MiFID II, Solvency II, IFRS 13, IRFS 9, and FRTB have increased demand for higher performance risk and analytics. Problems like XVA require orders of magnitude more calculations for accurate results. This demand for higher performance has put a focus on how to get the most out of the latest generation of hardware. Vectorisation is a key tool for dramatically improving the performance of code running on modern CPUs. Vectorisation is the process of converting an algorithm from operating on a single value at a time to operating on a set of values at one time. Modern CPUs provide direct support for vector operations where a single instruction is applied to multiple data (SIMD).

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

Vectorization, Part 2: Why and What?

Thursday, June 22, 2017

This is the second in a series of blogs on Vectorization, which is a key tool for dramatically improving the performance of code running on modern CPUs. Vectorization is the process of converting an algorithm from operating on a single value at a time to operating on a set of values at one time. Modern CPUs provide direct support for vector operations where a single instruction is applied to multiple data (SIMD). Read More

Vectorization, Part 1: The Rise of Parallelism

Thursday, June 15, 2017

New challenges in the financial markets driven by changes in market structure and regulations and accounting rules like Basel III, EMIR, Dodd Frank, MiFID II, Solvency II, IFRS 13, IRFS 9, and FRTB have increased demand for higher performance risk and analytics. Problems like XVA require orders of magnitude more calculations for accurate results. This demand for higher performance has put a focus on how to get the most out of the latest generation of hardware. Read More

Quantifi Recognised as Best Risk and Technology Firm in the Insurance Investment Exchange Awards 2017

Wednesday, April 5, 2017

Quantifi has been awarded ‘Best Risk and Technology Firm’ in the Insurance Investment Exchange Awards 2017.  The awards were judged by senior individuals from leading firms from across the industry including Alliance Bernstein, Aviva Investors and Friends Life.  Quantifi received the award in recognition of its value-add, responsiveness to client needs, reliability, speed of implementation, and top quality support. read more