risk management

How to Accelerate XVA Performance

Monday, October 26, 2020

by Quantifi & Intel

One of the key challenges of XVAs is that adjustments need to be calculated on a portfolio basis rather than trade by trade. This requires dealing with a large number of computations and orders of magnitude more calculations for accurate results. The calculation of XVAs is highly complex, combining the intricacies of derivative pricing with the computational challenges of simulating a full universe of risk factors. Given the strategic importance of XVA, banks require enhanced capabilities and modern infrastructures to calculate the required credit, funding, and capital adjustments. As banks look to reduce, mitigate, and optimize XVA and other capital charges, they are making investment in XVA capabilities in an attempt to solve the computational challenge of simulating a full universe of risk factors.

Preparing for the IBOR Transition: Technology and Models

Thursday, October 1, 2020

The IBOR transition impacts almost every part of the financial services industry including banking, capital markets, insurance and asset management. The imminent retirement of IBOR has forced financial institutions to conduct an end-to-end inventory of IBOR exposure. This should cover the full range of processes, models and systems, including pricing, valuation, risk management and booking. This process has revealed a number of challenges for financial markets participants, with many having to rethink their operations and technology infrastructure and adopting new technologies to help with the transition.  Read More

Survey: How are Firms Navigating the IBOR Transition?

Monday, September 28, 2020

Interbank Offer Rates (IBOR) play a pivotal role in the functioning of financial markets. The transition away from IBOR represents one of the biggest challenges facing financial services firms. The reform has been ongoing for more than two years, during which market-infrastructure providers, regulators, buy- and sell-side firms, and trade associations have been assessing and preparing for a significant transformational effort. This survey was conducted during a webinar hosted by Quantifi on ‘Navigating the IBOR Transition’. Over 350+ individuals from across the financial services industry registered for the webinar and were invited to take part in the survey. Read More

How to Manage Liquidity Risk in a Volatile Market

Friday, July 24, 2020

Historically, liquidity risk has been the poor cousin of market risk and credit risk. While the global financial crisis of 2008/2009 first pushed the issue of liquidity risk to the forefront of attention, the most recent market dislocation due to the COVID-19 pandemic has once again highlighted the salient significance of the topic. This is particularly so for institutional investment managers who have to meet margin calls, perform regular fund rebalancing, execute redemptions, among other potentially liquidity-threatening activities. Read More

Managing Liquidity Risk in Times of Stress

Monday, July 13, 2020

by Quantifi

Historically, liquidity risk has been the poor cousin of market risk and credit risk. While the global financial crisis of 2008/2009 first pushed the issue of liquidity risk to the forefront of attention, the most recent market dislocation due to the COVID-19 pandemic has once again highlighted the salient significance of the topic. This is particularly so for institutional investment managers who have to meet margin calls, perform regular fund rebalancing, execute redemptions, among other potentially liquidity-threatening activities. Failure to afford liquidity risk management the focus and priority jeopardizes the health of an institution, perhaps fatally so.

Quantifi Survey Measures Adoption of Data Science in Finance

Tuesday, June 2, 2020

The deployment of data science techniques provides a huge opportunity for firms to stand out from the competition and reinvent their businesses. When done correctly, it can offer a competitive advantage, insights and even new ways to tackle old problems. This survey was conducted during a webinar Quantifi hosted, featuring Celent, on ‘Next Generation Risk Technology Powered by Data Science’. Over 180 individuals from across the financial services industry registered for the webinar and were invited to take part in the survey. Read More

What are the Use Cases for Data Science in the Financial Markets?

Tuesday, June 2, 2020

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 Survey Reveals Strong Trend towards Data Science in Finance

Tuesday, May 26, 2020

Quantifi recently hosted a webinar featuring Celent, a research and advisory firm, on ‘Next Generation Risk Technology Powered by Data Science’. Over 180 individuals from across the financial service industry registered for the webinar. Delegates were surveyed to measure industry opinion on the adoption of data science. read more

How is Data Science Transforming Banking and Capital Markets?

Tuesday, May 26, 2020

This blog is taken from the Quantifi webinar 'Next Generation Risk Technology Powered by Data Science’. In Part 1, we will explore data science in the context of risk management technology and operations. This blog reflects on how the financial environment, and the broader landscape, has changed over the last decade and the market trends that are driving the rise in data science approaches. Read More

Industry Perspectives on Data Science - Q&A

Thursday, May 14, 2020

This blog is taken from the Quantifi webinar ‘Next Generation Risk Technology Powered by Data Science’ which also featured Celent. In the final blog in this series, the expert panellists from Quantifi and Celent answer questions from the audience, including how to deploy data science tools, the different data science use cases and pitfalls to avoid. Read More