
Isda OTC derivatives operations benchmarking survey shows mixed results
The survey shows an increase in automation, most notable for FRAs and vanilla swaps. “The most common results are either no automation, or substantial automation, suggesting an ‘all or nothing’ approach: that is, once a firm institutes some automation, it applies it widely,” the survey’s authors said.
The responses indicated that front-office trade data errors, usually involving dates, are most common for credit derivatives. Twenty-one percent of these errors relate to credit derivatives, while 10% involve FRAs and 17% involve vanilla swaps.
The survey also reported that confirmation production has slowed for FRAs and for vanilla swaps. New and non-standard products, waiting time for documentation, and approval from legal and compliance areas are to blame, Isda said.
The survey participants reported an average of 803 new OTC trades per week during 2001, up from 689 in last year’s survey. But volumes at large firms decreased from 1,975 trades per week to 1,900; while volumes for small firms nearly tripled at 166 from 57 trades the previous year.
Most respondents expected volumes for products to remain stable or to increase by a maximum of 25% in the next year. The only exception is credit derivatives volumes, which most respondents expected to increase by more than 25%. Firms reported that signed master agreements were in place with more than 92% of counterparties, up from 85% last year.
The survey found that 100% of trade details for FRAs and 98% for vanilla interest rate and currency swaps were available for processing the same day, compared with 77% for credit derivatives and 83% for equity derivatives. In terms of trade confirmation, firms reported that over 90% of vanilla swaps and FRA confirmations were sent out within two days (T+2). But confirmations for credit and equity derivatives were generally slower, with only 48% of credit derivatives and 62% of equity derivatives confirmations being sent out by T+2.
FRAs and vanilla swaps showed a higher level of automation than credit and equity derivatives. Functions with the highest degree of automation included the transfer of front-office trade data to the operations system, the transfer of data from the operations systems to the general ledger and the addition of data to the front-office record. Of respondents that reported no current automation, 69% said they planned future automation for FRAs and 80% said they would automate credit derivatives.
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 Technology
Risk applications and the cloud: driving better value and performance from key risk management architecture
Today's financial services organisations are increasingly looking to move their financial risk management applications to the cloud. But, according to a recent survey by Risk.net and SS&C Algorithmics, many risk professionals believe there is room for…
Machine learning models: the validation challenge
Machine learning models are seeing increasing demand across the capital markets spectrum. But how can firms improve their chances of gaining internal and regulatory approval for these type of models?
Banks strive for machine learning at quantum speed
Embryonic work on quantum neural networks raises hope of faster, more accurate models
Big banks seek solace in quantum-proof encryption
Barclays, JP Morgan and SocGen act to counter threat from next generation of computing
Facing the future: the growth of automation in Asia‑Pacific fixed income trading
How can automation improve fixed income trading strategies and best execution? In a recent Asia Risk webinar, in partnership with Tradeweb, a panel of market experts discussed the outlook for automation in the trading space
Moonshots and machines: can AI solve the problems of fincrime?
New technologies such as artificial intelligence (AI) and machine learning promise much in the battle against financial crime, but where are these solutions best deployed? A panel of anti-money laundering and analytics professionals convened for a Risk…
Next-generation technologies and the future of trading
At a Risk.net webinar in association with capital markets technology provider Numerix, panellists discuss the potential for increased adoption of the public cloud to boost investment performance, its impact on risk management and overcoming barriers to…