Insights
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SEC Rule 605 is Final, But More is Pending with Market Structure
With the SEC approving updates to Rule 605 on order disclosure for stock trading, the clock will soon begin ticking on a new compliance project with more granular execution quality data. But industry observers are speculating that the SEC could move forward with other equity market structure reforms, resulting in overlapping timelines.
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As Pairs Trading Evolves, Hedge Funds Grapple with Complex Workflows
n recent years, there has been growth in cross-asset and multi-currency strategies for pairs trading, and the compliance and workflow for those strategies is more complex, which is driving many hedge funds to recognize the need for an integrated order and execution management system (OEMS).
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Europe’s Fragmented Liquidity Challenge
Fragmented liquidity in the UK and European equity markets has posed a challenge for the buy and sell sides for many years. But the migration of volume away from lit markets to systematic internalizers and auctions has gained attention from market structure data experts.
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Driving the evolution of FlexOMS in EMEA
Q&A with Marc Cousins, Head of Product Management, EMEA For over a decade, FlexTrade’s sell-side solutions have enjoyed success in the US market and amongst large global broker-dealers with a presence in EMEA and APAC. …
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Deploying advanced OEMS tech to meet multi-strat challenges
While pod or platform-based multi-strategy hedge funds are proving an irresistible draw for both investors and portfolio managers, their diverse investment strategies and complex portfolios create multiple challenges best served by advanced OEMS technology. The …
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What’s Next for the SEC’s Equity Market Structure Proposals in 2024?
Heading into 2024, US broker-dealers are anticipating a decision by the SEC on its four-equity market structure proposals, a set of rules which seek to revamp stock trading for both retail and institutional investors. But an additional proposal to ban volume-based pricing tiers could inject more complexity into the regulatory outlook for 2024.
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A Year in Review: Top Blogs in 2023
While the hottest topic in financial technology for 2023 was undoubtedly the rise of ChatGPT and large language models, other topics like consolidation of the buy-side trading desk, and the impact of T+1 on the sell-side remained in serious contention
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T+1 to Impact Global Program Trading and FX
As the US transitions to shortened settlement cycle next May, a major concern is how the tighter time frame will impact overseas fund managers trading U.S. equities given the time zone differences, particularly when a foreign exchange transaction is involved.
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Industry Preps for T+1 Settlement Countdown
As banks, fund managers, and custodians gear up for what is one of the biggest changes in US market infrastructure to happen in recent times, there are implications for global trading desks and higher costs for operations and technology budgets.
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Key Trends in Fixed-Income Trading
In this Q&A, Matt Murphy, Fixed Income Electronic Trading and Market Structure Specialist at T. Rowe Price and Venky Vemparala, Global Product Manager – Fixed Income at FlexTrade Systems discuss the current trends in electronic trading, liquidity aggregation, and adoption of execution management systems, as well as the potential for artificial intelligence to make data-based recommendations.
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Amid Q4 Uncertainty, Traders’ Focus Turns to Data – Inflation, Location and Options
Data on inflation and interest rates is a top priority for institutional investors and hedge funds navigating risk and the fog of uncertainty in the fourth quarter, according to panelists on a recent industry webinar. …
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Financial Firms Explore ChatGPT and Generative AI
The release of ChatGPT by OpenAI last year, and its viral success in responding to human prompts in natural language, has ignited interest in generative AI technology, and has pushed asset managers and trading firms to grasp the technology rather than risk falling behind. Despite concerns about accuracy, financial firms and fintech providers are experimenting with specific use cases for generative AI using natural language processing trained on large language models (LLMs).