FiNETIK – Asia and Latin America – Market News Network

Asia and Latin America News Network focusing on Financial Markets, Energy, Environment, Commodity and Risk, Trading and Data Management

Deutsche Börse developing new business – all Data and IT related activities pooled into IT.

By way of underpinning its growth strategy, Deutsche Börse is creating a new business area geared to extending its client reach and service offering. In this move, notably IT with its system and service development and operating capabilities, Market Data and Analytics as well as selected external services are to be pooled under one roof. This includes, for example, the use of trading systems for other exchange companies, the business process offering in its entirety, IT operations for other financial service providers as well as network services.

The goal on the one hand is to tap new, integrated business opportunities while, on the other, supporting clients with tailored IT and other services, thereby further enhancing customer loyalty, broadening client reach and meeting the growing demand for outsourcing services with an expanded range of services.

Reto Francioni, CEO of Deutsche Börse AG, said: “Our services, also in the field of IT in particular, put us firmly in the premier league of global providers. Deploying our combined expertise and capabilities to optimum effect in customer acquisition, competition for market share and regional presence will be increasingly important when it comes to boosting the Group’s international positions. This sends out a clear mandate to our new business area to play a key role as a critical and strategic competitive factor for Deutsche Börse AG going forward, as well as to harness and expand cross-selling potential with our existing business areas.”

In addition, to the launch of the new business unit there will be a change in the top management of the IT business unit. Dr.-Ing. Michael Kuhn (57) and Deutsche Börse AG agreed on the best of terms and by mutual consent that the Executive Board contract of Michael Kuhn due to run out at the end of 2012 will not be extended. The company is looking for a successor. Michael Kuhn will be available for the company.

Supervisory Board Chairman Manfred Gentz and CEO Reto Francioni thanked Michael Kuhn for his total of 23 years’ service for the Deutsche Börse Group. He has been a member of the Group Executive Board since 1999. “We wish to express our gratitude to Michael Kuhn and his team. It is thanks to him and his colleagues that Deutsche Börse AG sets global standards with its systems,” said Gentz.

Source: MondoVisione, 14.02.2012

Filed under: Data Management, Data Vendor, Exchanges, Market Data, News, Reference Data, Trading Technology, , , , ,

Thomson Reuters Goes Live with Delta Data Factory

First Derivatives plc ,  is pleased to announce that Thomson Reuters (TR) pricing and reference data group (P&RDG) has selected and implemented FD’s Delta Data Factory (DDF) for use internally as a component in its multi-faceted forward-thinking data delivery strategy. This announcement follows FD’s recent launch of DDF, a hosted data factory service for reference data and also the formation of a dedicated data management division.

Thomson Reuters P&RDG client-centric focus and innovation approach makes use of Delta Data Factory as one element in a strategy to rapidly meet the formatting and workflow requirements of its clients. TR selected DDF as a managed service “data formatting factory” to assist in its strategy to offer TR clients speedy integration and adoption of reference and pricing data.

According to Tim Rice, MD of Global Pricing and Reference Data, “we selected FD’s Delta Data Factory because of the flexibility and rapid implementation speed, powerful data transformation engine, data knowledgeable team, reliable hosted infrastructure and global support model. Within TR’s data strategy, FD’s independence as a strong third party service provider supports and accelerates our plans allowing clients to leverage our data quickly. We’re now successfully live with a number of clients”.

For consumers of TR data, whether it be client-direct or third party application vendors, FD’s Delta Data Factory transforms the data into rapidly consumable formats for TR clients, third party applications partners, security master environments or EDM platform formats.

Dale Richards, President of FD US and Global Head of Data Management at FD commented, “We are very pleased to have TR as a client of DDF. The service is a powerful new model for the data industry and TR implementing and going live is a terrific endorsement of the capabilities”.

DDF is a managed service support model that includes software, expert data staff, support level management, infrastructure, customization tools, hosting and management. FD provides the factory working with clients to implement the best strategy. FD has been hosting and operating systems on behalf of clients for 15 years with ISO27001/SAS70 compliant operating centers.

In addition to data vendors and publishers, financial institutions use DDF to outsource the processing and normalization of multiple in-bound reference data sources into EDM or proprietary security master environments. FD’s also uses DDF to produce customized out-bound formats for their internal clients. Benefits include cost savings and decreased project timeframes.

Source: Bobsguide, 10.02.2012

Filed under: Corporate Action, Data Management, Data Vendor, Market Data, Reference Data, , , , , , ,

Bloomberg Opens its Data Distribution Technology

Open Market Data Initiative Will Spur Innovation & Industry Collaboration

Bloomberg is opening its market data interfaces for use by technology professionals globally, without cost or restriction, the company announced today. Bloomberg’s application programming interface, known as BLPAPI, is used daily by more than 100,000 professionals across the financial services industry and is now publicly available under a free-use license.

BLPAPI powers global market data distribution to desktops, workgroups and enterprise applications. In addition to Bloomberg Professional service subscribers, non-Bloomberg customers, vendors and software developers can now use BLPAPI as an alternative to proprietary technologies for market data distribution. This is Bloomberg’s latest move in support of its Open Market Data Initiative – an ongoing effort to embrace and promote open solutions for the financial services industry.

“Today’s global financial marketplace depends on the free flow of timely and accurate market information,” said Tom Secunda, Founding Partner and Global Head of Bloomberg’s Financial Products and Services division. “By embracing open technologies for market data distribution, we remove layers of expense, erase restrictive license agreements and enable innovation.”

“We intend to evolve BLPAPI into an open standard with the help of an independent committee charged with managing the future development and stability of a truly open market data interface,” said Shawn Edwards, Chief Technology Officer of Bloomberg LP. “Open technologies allow our customers, partners, and others to direct resources towards developing innovative services instead of coping with rigid technologies.”

Bloomberg’s open API follows the release of Bloomberg’s Open Symbology (BSYM), a system to identify securities across all global asset classes. BSYM is an alternative to proprietary security identifiers that has been adopted by leading global securities exchanges and financial services organizations.

The BLPAPI interface works with a comprehensive set of programming languages and operating systems, including Java, C, C++, .NET, COM and Perl. Other benefits of using Bloomberg’s API include:

• A comprehensive technical definition of a market data interface that includes publish/subscribe, request/response, all built on a flexible service-oriented design,

• An MIT-style license that allows users to copy and use BLPAPI interfaces for use with any market data service, applications or adapter technology,

• A simple and intuitive interface technology that is suitable for high volume and low latency applications.

* Bloomberg is offering its programming interface (BLPAPI) under a free-use agreement. This does not apply to any content.

Source:Bob´s Guide, 01.02.2012

Filed under: Data Management, Data Vendor, Market Data, , , , , , , , ,

A-TEAM launches Big Data 4 Finance

 A-Team Group launched today – BigDataForFinance.com where it will cover the emerging science of big data and how it relates to financial markets applications – such as analysis of time series pricing, management of reference data and determination of sentiment from news archives.  A-Team will also cover the evolving technology infrastructure that underpins big data applications, from storage to analytics and business intelligence.

A-TEAM: Let’s start by addressing a working definition for big data, as we see it.  Wikipedia has a pretty good starter: “Datasets that grow so large that they become awkward to work with using on-hand database management tools.”

But here’s our improvement on that: “Datasets whose characteristics – size, data type and frequency – are beyond efficient processing, storage and extraction by traditional database management tools.”

And let’s be clear, the focus is as much on the analysis of data to derive actionable business information as it is on handling different data types and high frequency updates.

Make sure that you don’t miss news and contributions that could be valuable.  Be sure to sign up for the weekly email update here.

Source: A-TEAM, 18.01.2012

Filed under: Data Management, Data Vendor, Market Data, Reference Data, Risk Management, , , , , , , , , ,

IDC White Paper: Solving Big Data’s Big Challenges Can Lead to Big Advantages

Solving Big Data’s Big Challenges Can Lead to Big Advantages

The volumes and complexity of market data required by financial institutions today are immense and growing rapidly. Ongoing market changes are accelerating the growth in demand for data, and forcing financial institutions to address the challenges of what has come to be known as “Big Data”. This demand is fueled as firms develop and deploy new, more sophisticated cross-asset investment strategies.

At the same time regulatory changes are also forcing firms to source and report increasingly larger amounts of trade data, as well as to adopt higher-quality – and usually data-hungry – risk and pricing models. Investors are making similar demands of their asset managers.

Interactive Data, the reference data powerhouse, has authored a new white paper which describes these challenges in depth. It also outlines the steps financial firms may need to take in order to address them effectively. Those that do could have a notable competitive advantage over their more slow-footed rivals.

Download your complimentary copy here.

Source: IDC, 18.01.2012

Filed under: Data Management, Data Vendor, Market Data, Reference Data, Risk Management, Trading Technology, , , , , , ,

SunGard -10 Historical Market Data Trends for 2012

Oliver Muhr, senior vice president of SunGard’s MarketMap business unit, said, “Economists, equity, fixed income researchers and quant traders need historical data to better understand growth opportunities and validate market positions and trading strategy. This requires not only more data, but more minute and granular information provided in a fast and efficient manner. SunGard offers information management tools that help enterprises filter and deliver accurate data for price discovery, financial modeling, risk management and business intelligence.”

The ten market data trends SunGard has identified for 2012 in historical data management are:

Transparency (Transparency and Evaluation Prices White Paper):

1. Firms need more consistent and timely reporting to meet new regulations and investor demands, creating greater strain on data infrastructures that feed risk reporting
2. Risk reports will be required by regulators and investors almost daily, while on-demand data will be needed to meet more advanced analytics
3. Greater transparency in analyzing the relationships between asset classes, such as complex derivatives, is driving the need for standardized entity and security identifiers, and cross symbology

Efficiency:

4. Larger data sets are required to feed predictive models, as more historical data over longer time periods and increased granularity of data sets power back-tests, forecasts and trading impacts throughout the day
5. Firms are focused on controlling variable data costs by centralizing historical data in one location to assess best price
6. Practitioners such as MBAs and CFAs want more flexible data management solutions that require less IT support so that they can spend more time discovering market opportunities
7. With globalization of markets, historical data brings greater complexity in terms of cross-border currencies, valuations and accounting standards – requiring improved accuracy and more market data coverage across assets and regions

Networks:

8. In order to perform advanced analytics and calculations required to support electronic trading strategies, firms must implement platforms that can store greater quantities of data and quickly retrieve and accurately process historical and time series data.
9. Vector storage, rather than traditional relational databases, will be needed to understand complex trends and scenarios
10. Cleaning and storing historical data is driving firms to seek plug-and-play technology that fits with industry standard infrastructures

Paul Rowady, senior analyst at TABB Group, said, “Data management has been, and always will be, an among the most critical components of the quantitative process. It is well known in the quant world that the depth of historical archive – the timeframe of data used for backtesting – is inversely proportional to the turnover of the strategy in question. Therefore, today’s trend toward slower-turnover strategies means that a proportional increase in the scale of the data will be required, as well as the most granular data possible in order to provide maximum flexibility for strategy development today and down the road.  In fact, dealing with data at the granular level and in a hands-on environment is paradoxically the most valuable exercise a quant can do to understand subtle market inefficiencies.”

Source: SunGard, 09.01.2012

Filed under: Data Management, Data Vendor, Market Data, Reference Data, Risk Management, , , , , , ,

NYSE Technologies Open Sources MAMA API to create vendor neutral OpenMAMA platform

Broadens Access and Increases Flexibility for All Users and Vendors  through New Standard for Global Capital Markets, Hosted at Linux Foundation

NYSE Technologies, the commercial technology unit of NYSE Euronext (NYX), today announced that it has open sourced its Middleware Agnostic Messaging Application Programming Interface (MAMASM), now called OpenMAMA. As a vendor neutral platform driven by the financial services technology community, OpenMAMA enables companies to protect their technology investments and help remove the friction in implementing new trading technology solutions across their technology operations utilizing a simple, consistent API.

Hosted by The Linux Foundation, OpenMAMA is supported by a steering committee of some of the most recognized names in financial services, including J.P. Morgan, Bank of America Merrill Lynch, EMC, Exegy and Fixnetix, among others. This newly open-sourced code establishes a new industry standard delivering greater flexibility and reduced development times with an underlying goal of lowering costs and building broader support for a range of interconnected programs. OpenMAMA offers a robust set of features with unmatched reliability and performance that ensure a uniform, future-proof middleware messaging solution for financial services firms. It is available through the Linux Foundation project today and the steering committee will announce new members and participants to the OpenMAMA initiative in the coming months.

“NYSE Technologies’ vision has always been to create a new breed of capital markets community that benefits from our extensive global network and utilizes the best, most innovative technologies from a range of service providers, not just ourselves,” said Stanley Young, CEO, NYSE Technologies. “Launching OpenMAMA through the Linux Foundation is another step toward achieving that goal. Through the industry steering committee, we are positioning ourselves alongside our peers and customers to become expert consultants for open sourced capital markets technology. We have created a vibrant customer community of over 150 market participants using MAMATM, and now with OpenMAMA, customers and firms everywhere will benefit from third-party contributors creating an even richer and more compelling API.”

Additionally, NYSE Technologies has worked with a diverse range of vendors and financial institutions at the forefront of technological innovation to create a steering group comprised of industry leaders building and utilizing financial technology applications. Collectively, the committee will determine OpenMAMA’s development roadmap, funding, strategy and product direction. As the OpenMAMA community grows, the steering committee composition could change to incorporate new members that join through the Linux Foundation.

Scott Parsons, CTO, Exegy added, “OpenMAMA is a very exciting chance for the industry to collaborate and architect the functionality and direction of a key piece of infrastructure. Using the MAMA API, we can now design a platform that strikes a unique balance of performance, interoperability and future proofing that has never been done before.”

“Fixnetix is pleased to join leading members of the global banking, hedge fund and proprietary trading community for the Linux Foundation steering committee on OpenMAMA,” says Anthony Kingsnorth, Director of Operations, Fixnetix. “We believe industry collaboration will only yield the best results and outcome for our universal trading, market data and risk control customer base.”

NYSE Technologies decision to open the MAMA platform creates an easily accessible architecture and proves its commitment to true strategic partnership with its customers. The benefits of the OpenMAMA platform are further strengthened by NYSE Technologies’ innovative plan to publish an industry-wide standardized data model. Furthermore, the OpenMAMA project will release the Middleware Agnostic Market Data API (MAMDA Aerly next year. MAMDA will provide users with the ability to publish and consume market data from multiple sources and vendors in a standardized format onto the open platform to help market participants better leverage technology assets and innovate more rapidly.

As market activity evolves and customer needs change, OpenMAMA will continue to be an open, flexible and efficient means of developing and deploying new, event-driven applications. The first release of OpenMAMA is available now with substantial updates expected through March 2012.

Source: Bobsguide, 31.10.2011

Filed under: Data Management, Data Vendor, Market Data, News, Standards, , , , , , ,

Special Report: Evaluated Pricing Oct 2011 – A-TEAM

Valuations and pricing teams are facing a much higher degree of scrutiny from both the regulatory community and the investor community in the glare of the post-crisis data transparency spotlight. Fair value price transparency requirements and the gradual move towards a more harmonised accounting standards environment is set within the context of the whole debate about data quality across the financial services business, in light of incoming regulations such as Basel III and the Alternative Investment Fund Managers Directive (AIFMD). Whether it is related to risk management, pricing, trading or reporting, firms need to be able to stand behind their numbers.

The goal of the AIFMD is to create a level playing field and set basic standards for the operation of alternative investment funds in Europe via new reporting and governance requirements. On the pricing and valuations side of things, firms must establish what the directive calls “appropriate and consistent” procedures to allow for the independent valuation of a fund’s assets. In order to achieve this, the valuation must either be performed by an independent third party or by the asset manager, as long as there is functional separation between the pricing and portfolio management functions.

Download free report here

Source: A-Team, 12.10.2011

Filed under: Data Management, Data Vendor, Market Data, Reference Data, Standards, , , , , , , , , , ,

Argentina: Rosario Futures Exchange (ROFEX) added to SunGard Market Data Distribution Platform

Rosario Futures Exchange (ROFEX), an Argentina-based derivatives exchange, is now available through SunGard Global Network for Securities (SGN) for global connectivity, order routing and market data. SGN will help futures and options traders around the world easily access ROFEX, facilitating electronic order routing access to their exchange. SGN will also help increase efficiencies and reduce errors for traders that trade through ROFEX by helping them trade electronically, for greater automation across the trade lifecycle.

Growth in the derivatives markets in Latin America is attracting new liquidity through improved access and collaboration between exchanges. As traders expand their derivatives trading reach to international markets they increasingly require robust trading tools and access to an extensive global network. SunGard’s Valdi and SGN offer comprehensive derivative trading solutions as well as one of the largest networks in the world. Valdi provides futures and options traders with global trading software, powerful market data, risk management solutions and low latency execution services. SGN provides trade automation and connectivity to over 120 electronic markets and more than 530 brokers worldwide, helping shorten time to market for trading new products and in new geographies.

Mr. Diego Fernandez, chief executive officer of Rosario Futures Exchange, said “SunGard is helping us expand our global reach by providing us with electronic access to new markets and participants, facilitating the growth of our business and helping make global trading easier and efficient for our clients.”

Raj Mahajan, president of SunGard’s global trading business, said, “We are pleased to provide Latin American customers with a customizable solution for multi-asset, global trading, through Valdi and SGN. It is our goal to provide customers with a simplified gateway to access all exchanges in Latin America; we already provide access to equities and derivatives exchanges in Brazil, Mexico, Chile, Colombia, Peru and now Argentina.”

Source: Bobsguide, 10.10.2011

Filed under: Argentina, Brazil, Chile, Colombia, Data Management, Data Vendor, Exchanges, Latin America, Market Data, Mexico, News, Peru, Trading Technology, , , , , , , , , , , , , ,

SIBOS Toronto Round Up: LEI, TS2, Standards – A-Team

Unsurprisingly given the host’s recent market positioning, the dominant theme at last week’s Swift user conference Sibos in Toronto was standards, in many different flavours. The one at the top of the list in terms of reference data, however, had to be the legal entity identifier (LEI) and there was certainly no shortage of discussions on the subject (see the list from my preview here). A total of three sessions were dedicated to the topic and the exhibition hall was abuzz with the potential that the LEI holds for the vendor community in terms of revenue generation.

As I noted in my interview with Fabian Vandenreydt, Swift’s head of Securities and Treasury Markets, at the conference last week (see more here), the industry messaging network provider has made reference data a key part of its 2015 strategy and its selection by the Sifma led committee to act as the issuing body for the proposed ISO 17442 standard is a significant element in these endeavours. However, the US Office of Financial Research (OFR) has not made a final decision on whether the Swift, ISO and Depository Trust and Clearing Corporation (DTCC) team will get the gig (see more on which here) and there are many factors to be considered before a new data infrastructure is put in place, not least of which is governance.

Although it was not addressed at length during the three panel discussions on the LEI (in fact, it was only briefly noted), the notion of a privately run, public data utility is something of a challenge in terms of governance. Given that DTCC owned Avox is currently run as a commercial operation with a number of large customers such as Citi, how will the vendor’s technology be deployed as the backbone of a data utility without granting the DTCC unfair advantage over the market? Ditto with Swift, given that it plans to offer “value added” services on top of the basic reference data set provided by the OFR.

This was a subject I raised offline with a number of the DTCC and Swift execs at the show and the response was that it is an issue that is due to be tackled over the coming months. Given the European Commission investigations of players such as Thomson Reuters and S&P’s Cusip Global Services (CGS) on the subject of potential anti-competitive issues regarding reference data, it will be an active participant in this debate. That is, if Europe agrees to go down the utility route.

A lot seems to be predicated on this week’s Financial Stability Board (FSB) discussions in Basel; an event that nearly everybody I spoke to was planning to attend. The hope seems to be that the new global body will make a final recommendation about whether Europe and the rest of the world will adopt the LEI as it has been proposed. Given that the FSB is working on tricky issues such as tackling the shadow banking sector in a coordinated fashion (see more on which here), it seems likely that there will be some pressure to adopt such a standard.

However, whether the FSB has the teeth to be able to get the global regulatory community to listen and get on the same page as each other is another matter entirely. After all, China has already indicated it will be developing its own entity identification standard. How many more can the industry expect? As noted by UBS’ Daniel Maury, who is the global lead for the firm’s Enterprise Client Data Programme (ECDP), during the LEI session there could be 10 or more if regulators don’t agree on one; a development that could prove especially costly for the industry as a whole.

The party that these developments will prove most beneficial too, however, will be the vendor community. Maury admitted that there is no appetite within the investment banking community to build a vast library of cross references to these new standards, hence these firms will turn to vendors for the solution. Thomson Reuters’ announcement on the first day of the conference (see more here) that it has expanded its legal entity data solution is a case in point of vendors scaling their capabilities ahead of the requirements. It follows a similar move by Bloomberg earlier this year and it will certainly not be the last.

Turning away from the LEI for a second, the other main news from the conference from a post-trade perspective was the announcement by the European Central Bank (ECB) that the Target2-Securities (T2S) settlement infrastructure would be delayed by up to another year (see my guide to T2S from back in 2009 here). Rather than launching in September 2014, the pan-European settlement platform will be delayed until an unspecified date in 2015, according to T2S programme board chairman Jean-Michel Godeffroy.

Speaking during a panel debate on the Tuesday of the conference, Godeffroy said the delay was caused by a need for additional user requirements to be taken into account and for user testing with central securities depositories (CSDs) to be extended beyond the originally scheduled nine month period. However, the buzz from the conference and exhibition halls was that given the loss of T2S champions at the ECB Jean-Claude Trichet and Gertrude Tumpel-Gugerell, the central may back away entirely from the project and leave it up to the industry to sort out.

What does all of this mean for the data standardisation space? T2S has been a driver for a lot of work around corporate actions standardisation and, as such, a delay or even a complete reversal will have an impact on these developments, as well as more general data standardisation efforts (see more on which here). The main impact of the T2S developments relate to the fact it would take settlement out of the hands of CSDs and thus result in a complete re-evaluation of their business models and those of all the other players in the securities market active in Europe. Taking this pressure away could therefore have a whole host of consequences.

Of course, a roundup of the Sibos week couldn’t go without a mention of my standards forum panel, during which myself and Bob Masina, head of technology and operations for the Australian Payments Clearing Association (APCA), and Dan Retzer, CTO at corporate actions solution vendor XSP, debated whether ‘standards innovation’ was an oxymoron (see my earlier blog here). Our conclusion was that being innovative with standards is all well and good, but it takes the big players adopting these standards (and thus bringing the rest of the market with them) to make a difference. Standards development is merely the first step.

Source: A-TEAM, 26.09. 2011, Virginie O’Shea

Filed under: Corporate Action, Data Management, Data Vendor, Market Data, Reference Data, Standards

10 Trading Trends in Latin America : SunGard

Raj Mahajan, president of SunGard’s global trading business, said: “The economy in Latin America continues to grow at an exceptional pace. Led by Brazil, which has achieved an annual average growth of 3.7% over the last ten years, (nearly twice that of the US), the boom includes Mexico, Chile, Columbia and Peru. SunGard is helping Latin American trading firms capitalize on the change and growth in that region, by providing low latency execution to help them compete in the global race for liquidity with greater transparency, efficiency and access to network connectivity.”

The ten trends SunGard has identified as shaping Latin American trading are:

1. Mexico, Chile, Columbia and Peru are quickly gaining recognition as key markets in Latin America, as their combined trading volumes edge closer to Brazilian levels.

2. Brazil’s markets are going completely electronic, increasing firms’ ability to more efficiently and more quickly access liquidity. As a result volumes have skyrocketed; a 400% increase in activity in the last decade.

3. Demand for international order flow is high as volumes are rising in emerging markets: Brazil is ranked the fourth largest emerging market according to a recent article.

4. The sell-side in Latin America is consolidating; large international players are buying local brokers to quickly increase their presence and credibility.

5. FIX connectivity is increasing: As firms receive and execute more order flow internationally, the adoption of FIX has taken hold in Latin America, helping to efficiently connect buy- and sell-side firms.

6. Trading volumes are increasing across the region and firms need real-time data and analytical tools for greater transparency into market movements. It is predicted that Brazil will see a 4.9% increase in equity market performance in 2011, according to a recent report. From 2006-2010, fund flows into Brazil have totaled $10 billion.

7. As more international investors want exposure to LatAm markets, the networks into and out of these markets becomes more important. Local firms and international players are investing in telecommunications infrastructure to ensure bandwidth and reliability for their trading networks.

8. With major exchanges allowing third party software firms direct access to exchanges, traders have more network connectivity options and can now take advantage of independent software vendors to provide their technology platforms.

9. As LatAm trading volumes skyrocket, the demand for financial information within the region is growing. In terms of financial market data and news, Latin America is second only to the Asian nations in allocating more budget for this resource.

10. LatAm trading firms are investing in low latency execution and stable customizable trading solutions, leaving legacy technologies behind for greater operating efficiency.

Danielle Tierney, junior analyst at Aite, said, “Networks are the key to sustaining growth in Latin America. Approximately 25 percent of the volume traded in Latin America is international, driving the search for new sources of liquidity and establishing connections to powerful global networks.”

Sourc: SunGard, 12.09.2011

Filed under: Argentina, Brazil, Chile, Colombia, Data Vendor, Exchanges, FIX Connectivity, Latin America, Market Data, Mexico, Peru, Trading Technology, , , , , , , , , , , , , , , , , , , , ,

Bloomberg Pushes Benefits, Value of Data License New Commercial Model

Bloomberg is redoubling efforts to convince customers of the value of its new pricing model for its Bloomberg Data License service of intraday and end-of-day market and reference data—known as the New Commercial Model (NCM)—which it originally introduced in March, and which could see the cost of Data License increase by between 30 and 100 percent over three years.

 The pricing model, which is part of the vendor’s new customer engagement model for enterprise Data License customers, came into effect from the start of June for existing contracts facing renewal and from April 1 for new accounts, according to a letter sent to clients in March by Bloomberg president and chief executive Daniel Doctoroff. However, in recent weeks, sources say the vendor’s sales management team has contacted Data License clients to obtain feedback on the structure of the NCM, and to visit customers in person to re-explain the model.

Although Bloomberg declines to comment on why it was revisiting customers, banks and buy-side firms have criticized the model, which will lead to unbudgeted price rises of up to—and in some cases more than—100 percent. “Originally they gave us a detailed breakdown of every single security license, back-office license, estimated dollar spend, renewal dates and all the instruments that had been consumed on the feed,” says a source at one sell-side firm. “Then in the last two weeks they came back and said they want to re-present this….  Bloomberg is keen to make sure customers understand everything and show that it is not as bad as it first looks.”

Under the old commercial model, customers paid a monthly charge per security, with prices based on six categories of instrument type and three categories of data type—a security master incorporating corporate actions and prices; derived data; and issuer data—plus a sub-category of price-only data. Under the NCM, Bloomberg has retained the monthly charges and the link between prices and data/instrument type, but has replaced existing categories with a greater number of new categories which result in higher fees overall than in the old model. For example, the security master, corporate actions data and prices for a corporate security were previously bundled together for $1.50 per security per month, but are now sold separately for $1.70, $0.50 and $0.75 per security per month, respectively—a total of $2.95 per security per month.

Bloomberg has also expanded the six instrument categories—including a category covering corporate, government, and money market assets; one for municipals; agency pools; collateralized mortgage obligations, commercial mortgage-backed securities, whole loans and asset-backed securities; equity options, futures, warrants, funds indexes and currencies; and economic statistics—to 11 categories, by splitting out different asset types into new, individual categories, such as separate categories for funds, US government and syndicated loans.

Meanwhile, the vendor has divided issuer data into three component categories—credit risk data, fundamentals and estimates—meaning that monthly fees for a corporate security have more than doubled from $2.50 to $6.50 in the NCM. The cost of derived data has risen by up to 50 percent depending on the asset class, while the vendor now charges for accompanying corporate actions data, regardless of whether a corporate action event actually occurred that month. Under the NCM, multiple requests from firms who wish to view the data more than once per month will also now be charged between one and three cents per security per day, depending on the asset class and data type, whereas previously the first multi-request was free.

More Flexible
Bloomberg officials say the new model is intended to provide more flexibility and value, and to allow clients to “only pay for the data that they want and need.” But one market data manager at a European asset manager calls the change a “pure slicing and dicing” exercise, adding that if a business needs to subscribe to all the content, “You get nothing new or extra—you just have to pay a lot more for the same data.”

To soften the impact of the changes for existing clients, Bloomberg’s Data Solutions group will provide enterprise data license consultants to help clients manage their data usage, and is phasing in the increases, so clients renewing their Data License contract this year and early next year will see stepped cost increments, limited to a total increase of no more than 7 percent in the first year and a further 7 percent in the second. Some clients praise this softly-softly approach but are concerned about the impact after that initial two-year period.

“In our peer group, we are sharing knowledge on how much it will impact us. For some, it’s 2 percent, for others it’s 30 or 100 percent, depending on what data you take and how exposed you are to certain services,” says a market data vendor manager at a second European asset manager. “Seven percent in the first year, then another 7 percent in the second is fine, but after that, when it hits you fully—that’s what we’re worrying about.”

In addition to incremental rises, Bloomberg will also offer “optimization,” whereby if a firm has multiple contracts with the vendor across different branches or business units and requests the same data on the same security in the same month via those contracts, then—excluding intraday and derived data—the vendor will only charge between one and three cents for the second request, rather than twice the full price, which it expects to deliver better value for clients.

However, Jean-Pierre Gottdiener, manager at Paris-based consultancy Lucidine Conseil, says firms who have made the biggest efforts so far to reduce costs and administration by consolidating multiple contracts across branches will not be eligible to take advantage of optimization, and will have to pay the most. “If you only have one contract because you have already rationalized your request to Bloomberg, there will be no optimization and you will support nearly the full increase of the prices,” he says. “Some firms have made no optimization on Bloomberg and their increase was only 30 percent, whereas those who have already made an investment to rationalize Bloomberg face a rise of 100 percent.”

Some acknowledge that the vendor’s prices are fair, given that data volumes have increased considerably since the last time the vendor increased prices—more than a decade ago, according to Bloomberg officials—but Gottdiener adds that Bloomberg’s leading position in the market means “the industry is facing a real issue from the policy, and will probably need to find alternative solutions.”

In fact, the NCM has prompted dissatisfied buy- and sell-side firms to reassess their data consumption. Some participants have even said they will look to alternative parties for cheaper data for some parts of the Data License, such as corporate actions, where plenty of alternative providers exist. “Often with Bloomberg, you just absorb the whole universe and pump it everywhere, so it’s good that we now have to look at what data do we use, where we use it, and why,” adds the source at the second asset manager.

Source: Waters Technology 08.08. 2011

Filed under: Corporate Action, Data Management, Data Vendor, Market Data, News, Reference Data, Standards, , , , , , ,

Integration of Histroical Reference Data

Historical data is becoming more crucial to managing risk, but to make it useful, data updates must be reconciled with the moments actual changes in data occurred, says Xenomorph’s Brian Sentance.

There has been much talk recently about integrated data management, as the post-crisis focus on risk management demands a more integrated approach to how the data needed by the business can be managed and accessed within one consistent data framework. Much of the debate has been around how different asset classes are integrated within one system, or how different types of data—such as market and reference data—should be managed together.

However, there has been little discussion on how historical components can be integrated into the data management infrastructure. This will have to change if the needs of regulators, clients, auditors and the business are to be met in the future.

Why is history and historical data becoming more important to data management? There are many reasons. First, data management for risk needs historical data in a way that simply was not necessary for the reference data origins of the industry over a decade ago.

Another reason would be the increasing recognition that market data and reference data need to be more integrated, and that having one without the other limits the extent of the data validation that can be performed. For example, how can terms and conditions data for a bond be fully validated if the security is not valued by a model and prices not compared to the market?

As another example, how many data management staff were overloaded by the “false positives” of price movement exceptions during the highly volatile markets of the financial crisis? I would suggest many organizations would have saved hours of manual effort if the price validation thresholds used could have automatically adjusted to follow levels of market volatility derived from historical price data.

Regulators and other organizations in the financial markets now want to know more of the detail behind the headline risk and valuation reports. The post-crisis need for an increase in the granularity of data should be taken as a given. This is progressing to an extent where external and internal oversight bodies not only want to know what your data is now, but want the ability to see what the data was at the time of market or institutional stress. Put another way, can you easily reproduce all the data used to generate a given report at a specific point in time? Can you also describe how and why this data differs from the data you have today?

“But I already have an audit trail on all my data,” I hear you say. Yes, that is a necessary condition on being able to “rewind the tape” to where you were at a given time, but is that sufficient? An audit trail could be considered as a sparse form of historical “time series” storage for data, but as we all are aware, there are not many pieces of “static” data that do not change over time (corporate events being the main cause behind these kinds of changes). The main issue with audit trail use here is that it can only represent the times when the data value was updated in the database, which is not necessarily the same time as when the data value was valid in the real world.

So for example, for the sovereign, that forces a change in the maturity dates of its issued bonds. You can only capture when your data management team implemented the change in the database, not necessarily when the change was actually made in the market. Hopefully, the two times may turn out to be the same if your data management team is efficient and your data suppliers are accurate and timely. But don’t count on it, and don’t be too surprised if a regulator, client or auditor is displeased with your explanation of what the data represents and why it was changed when it was. We are heading into times where not knowing the data detail beneath the headline numbers is no longer acceptable, and historic storage of any kind of data—not just market data—will necessarily become much more prevalent.

Source: Xenomorph, 13.07.2011

Filed under: Corporate Action, Data Management, Data Vendor, Market Data, Reference Data, Risk Management, Standards, , , , , , , , ,

China Market Data/Analysis Market Share research revealing mainland China spend to have topped USD340 million, locals vendor own 60%

Burton-Taylor data shows China financial information/analysis demand has grown at 29.5% CAGR since 2003, international content needs are expanding while overall satisfaction levels are dropping

Burton-Taylor International Consulting LLC, a leading information and news industry market research, strategy and business consulting organization, today published a report showing mainland China financial market data/analysis spend to have topped USD340 million, exit 2009. What has historically been an opaque market, has now been revealed to have averaged 29.5% annual growth over the last six years. In addition to competitor market share, the new report shows user requirements for financial market data, news and capabilities in a level of detail never before available for mainland China and indicates Portfolio Managers, Researchers and Sales & Traders are broadening demand for economic data, news and analytic tools.

With combined revenue of USD204.8 million, China Finance Online, Wind and an array of other local China vendors, many not well known to Western market data competitors or analysts, command a 59.8% share of the mainland market. The two largest international players are Thomson Reuters and Bloomberg, with combined revenue of USD116 million generated from the country.

Continued financial market evolution, combined with asset management fees totaling USD16 billion in 2010, will fuel the purchase of more detailed and sophisticated investment data and tools. As the report illustrates, average per user spend on market data/analytics by this segment globally is 0.51% of management fees, or USD26,628 per annum. In China, however, average spend is only USD15,384 per user, indicating significant upside potential as the market matures.

“With Assets Under Management (AUM) projected to hit USD5.0 trillion by 2020, at 1.25% the cumulative asset management fees generated on mainland China over the next decade could reach USD513 billion,” says Douglas B. Taylor, Managing Partner of Burton-Taylor. “Growth of this magnitude draws substantial competition and will result in increasing demand for the information products and tools that enable market participants to both differentiate themselves and maximize return.”

The new report also details the changing user needs, satisfaction levels and product requirements of China Portfolio Managers, Researchers and Sales & Traders. Responses to surveys conducted with market data users in 2009 are compared to responses generated over prior years to reveal that increasing sophistication among market participants is widening the breadth of data demanded and lowering overall satisfaction levels with current data providers.

“We were not surprised to see that Portfolio Managers, for example, had shifted their primary criteria for selecting a data vendor away from attributes such as information update speed and toward attributes such as data quality, vendor reputation and ease of use. This is expected in an evolving market,” adds Taylor. “What did raise our eyebrows, however, was the significant drop in news content and portfolio management capability satisfaction levels, which indicates there may be opportunity for different products or vendors to capture revenue.”

Mainland China market share estimates, along with other sample data from Burton Taylor’s China Financial Market Data/Analysis Market Share & User Requirements 2010 report, may be downloaded free of charge by visiting: http://www.burton-taylor.com/research.html and inputting research sample code CHINA2010EXD.

Source: Burton-Taylor.com, 25.01.2010

Filed under: Asia, China, Data Management, Data Vendor, Market Data, News, , , , , ,

Follow

Get every new post delivered to your Inbox.