Opening Cross: Radar and Traffic Controllers Aren’t Just for Airlines

We hear a lot about macroeconomics and globalization these days, but what about micro-economics and regionalization? Many of the trends we read about or experience firsthand suggest that the world is increasingly becoming one large global marketplace, with fewer barriers across borders and asset classes, and massive consolidated exchanges, vendors and market participants, operating around the clock. But against this trend, there is increasing interest in more granular data at the regional or instrument level that is prompting the development of new services to source, aggregate and make sense of the global smorgasbord of information.
For example, one benefit of a new technology platform that Nasdaq plans to roll out next year for its Global Index Data Service is that it will be able to operate 23 hours a day, five days a week, instead of only 18 hours per day, allowing the exchange to meet global demand for its indexes, even when Nasdaq’s markets are closed. However, it will also enable Nasdaq to develop new indexes, which could provide benchmarks or exposure to a specific region or industry, while the exchange has already received demand from Asian index providers wanting to distribute indexes over the platform.
But entering new regions isn’t possible without detailed underlying information on a marketplace. For example, ISI Emerging Markets has launched a regional version of its Emerging Markets Information Service for the greater MENA (Middle East and North Africa) region in response to client demand for high-quality and reliable local data. Meanwhile, exchange-traded fund data specialist XTF has rolled out new performance and fund flows heatmaps over the past year (XTF says ETFs are a better indicator of fund flows into or out of a region because the products are more liquid than mutual funds), and plans to expand its coverage next year to serve registered investment advisers seeking information on exposure to new markets.
Much of the demand for these products is being driven by traders in developed markets seeking exposures elsewhere, and that ultimately the globalization trend is the reason why regional data is now becoming important and accessible. But when Rabobank’s Dutch private asset management business needed new data terminals, local market coverage—rather than a broader, global service—was a key requirement, officials say.
Key to exploiting demand at all levels and actually making new types of data useful is integrating granular datasets into widely-used data products and other services, such as the integration of commodities trading data from Pivot Inc.’s instant messaging system into trading and risk management platforms from Allegro Development, or the incorporation of fundamental data from Infinancials into Saudi Arabian vendor TradeNet’s trading platform.
Put this together and you have global and regional forces, operating independently, but contributing to a common goal of more transparency at all levels and greater interconnection between instruments and markets, leading ultimately to greater globalization. Dual forces, and dual challenges for data consumers and vendors that must source data at the underlying region or instrument level and aggregate and correlate it to create valuable global datasets.
How do you do this? Perhaps by using new types of search engines, such as 9W Search, created by the founders of Edgar Online, which uses XBRL tagging to extract, display and compare financial data. Or, with so much data to trawl through—much of it unstructured data—perhaps firms will increasingly use services such as the behavioral research and language recognition tools of MarketPsych to filter and identify relevant information, while acting as a “radar” for sentiment-induced trading opportunities.
But whatever radar you use, be sure it can detect “below-the-radar” trends as well as the major blips, to track the entire data airspace.
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@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com 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@waterstechnology.com
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@waterstechnology.com
More on Emerging Technologies
BlueMatrix acquires FactSet’s RMS Partners platform
This is the third acquisition BlueMatrix has made this year.
Waters Wavelength Ep. 331: Cresting Wave’s Bill Murphy
Bill Murphy, Blackstone’s former CTO, joins to discuss that much-discussed MIT study on AI projects failing and factors executives should consider as the technology continues to evolves.
FactSet adds MarketAxess CP+ data, LSEG files dismissal, BNY’s new AI lab, and more
The Waters Cooler: Synthetic data for LLM training, Dora confusion, GenAI’s ‘blind spots,’ and our 9/11 remembrance in this week’s news roundup.
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
A Q&A with H2O’s tech chief on reducing GenAI noise
Timothée Consigny says the key to GenAI experimentation rests in leveraging the expertise of portfolio managers “to curate smaller and more relevant datasets.”
Etrading wins UK bond tape, R3 debuts new lab, TNS buys Radianz, and more
The Waters Cooler: The Swiss release an LLM, overnight trading strays further from reach, and the private markets frenzy continues in this week’s news roundup.
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.