Treasurers turn to AI in bid for sharper forecasting
Wider automation could usher in future of ‘hands-free hedging’, but obstacles lurk in data standards and sharing
Some years ago, the treasury team at a multi-billion-dollar tech company mangled a hedge of its yen exposure – selling and buying the wrong sides of the currency pair, and effectively doubling down on the existing position. It was a $100 million notional trade.
“Fortunately, it went in the company’s favour, but if it had gone the other way, you can imagine more than a few people would have lost their jobs,” says a machine learning expert working in currency risk management.
Today, this is a
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Data
Data to anchor a new age of risk management
The growth of artificial intelligence and real-time compliance drives new requirements in data and analytics
Data analytics set to fuel change in the oil market
Privileged data insight is no longer the sole preserve of the world’s oil conglomerates. Access to insightful analytics is providing a new competitive edge for smaller and mid-sized commercial and trading firms in the oil market, helping them navigate…
Data-driven execution: looking back to see forward
Reviewing favourable outcomes and attempting to replicate them is by no means a new concept across the capital markets. Portfolio managers, execution professionals and risk managers use this principle to drive their decisions, although it is really only…
Solving the data challenge: technical solutions for optimisation of risk management, capital and liquidity resources
Since the financial crisis that began in 2007–08, regulatory pressure on requirements around capital adequacy, liquidity, funding, balance sheet size and leverage has become increasingly intense. As a consequence, financial institutions need to manage…
Data and AI: addressing increasing regulation for smarter compliance
This webinar features leading compliance and risk management professionals and focuses on how firms can handle regulatory change management, fraud prevention, AML and other compliance needs through the use of an optimal data and AI foundation built for…
Big data challenges: unlocking opportunities for banks to rethink their data structures
Revisions to banks’ mandatory capital requirement regulations, to be implemented in a few jurisdictions in January 2023 and globally in 2024, will present these institutions with a massive challenge as the volumes of data they must manage and analyse…
Helping firms make the most informed business decisions
Stephane Rio, founder and CEO of Opensee, discusses the extent of the data challenges facing all capital markets firms
The need for share data as firms invest in large volumes of equities internationally
Russell Ironside, pricing and reference services propositions manager at Refinitiv, discusses what is driving the need for more data in the area of shareholding disclosure
