![Risk.net](https://www.risk.net/sites/default/files/styles/print_logo/public/2018-09/print-logo.png?itok=1TpHrpuP)
High derivatives data traffic plagues market networks
There are growing fears that market data vendors and their networks may face capacity problems due to a sharp increase in derivatives market data traffic caused by jumps in price updates and data feeds from exchanges.
"The technical cost of managing and distributing the tremendous amounts of market data being generated… can no longer be taken as a given,” said Richard Gissing, managing director of UK-based market data software vendor Mighter Gissing. “Both the vendors and the market players are undertaking very serious cost/benefit analyses on the distribution of equity derivatives market data to their global client base."
One of the main causes of concern is the burgeoning equity derivatives market, where market makers generate prices to exchanges based on movements in the market, and also on movements in the underlying equities. "Equity derivatives have definitely been one of the main drivers behind the growth in contributed data volumes during 2002," said Gissing.
Industry participants have to accommodate large numbers of derivatives instruments, listed on multiple exchanges. "If Microsoft stock moves, [as many as] 500 options have to update," said Andrew Murphy, a London-based senior consultant at PA Consulting. "It’s a big problem limited to a small number of US equity options exchanges," he said, citing the Chicago Board Options Exchange (CBOE), the Philadelphia Stock Exchange, Amex, the Pacific Exchange and the International Securities Exchange (ISE). Due to the sheer number of option instruments, these five generate half of all data carried by US vendors, he added.
A spokesperson for ISE paints the exchanges as victims of their own success. "We try to be as prudent as possible with our quoting," said an ISE spokesperson. "We would support reforms to address the capacity issues and implement quote mitigation solutions. But information is being generated, the market needs information… and the market always finds a balance sooner or later," the spokesperson said, adding that the exchanges and the Options Price Reporting Association (Opra) have done their part by already expanding capacities in recent years to cope with the derivatives growth.
Also to blame is the decimalisation of the US equity markets. Before the conversion to decimals in 2001, the smallest price change possible was one-sixteenth of a dollar. Now, users are able to trade every cent, which gives more potential equity price changes, and therefore more changes in options prices, said Murphy.
A full version of this story is available at the home page of RiskNews’ sister publication Trading Technology Week.
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.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
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. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Technology
FX options: rising activity puts post-trade in focus
A surge in electronic FX options trading is among the factors fuelling demand for efficiencies across the entire trade lifecycle, says OSTTRA’s commercial lead, FX and securities
Dismantling the zeal and the hype: the real GenAI use cases in risk management
Chartis explores the advantages and drawbacks of GenAI applications in risk management – firmly within the well-established and continuously evolving AI landscape
Chartis RiskTech100® 2024
The latest iteration of the Chartis RiskTech100®, a comprehensive independent study of the world’s major players in risk and compliance technology, is acknowledged as the go-to for clear, accurate analysis of the risk technology marketplace. With its…
T+1: complacency before the storm?
This paper, created by WatersTechnology in association with Gresham Technologies, outlines what the move to T+1 (next-day settlement) of broker/dealer-executed trades in the US and Canadian markets means for buy-side and sell-side firms
Empowering risk management with AI
This webinar explores how artificial intelligence (AI) can strip out the overheads and effort of rapidly modelling, monitoring and mitigating risk
Core-Payments for business leaders: why real-time access to payment data is key to long‑term business success
Business leaders require easy access to timely, reliable and complete information across post-trade processes. Aside from the usual requirements of senior managers to optimise for risk, revenues and costs, they increasingly need to demonstrate to their…
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?