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, , , , , , ,

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, , , , , , , , , ,

Deutsche Börse launches algo news feed in Brazil

Availability in Sao Paulo data center marks expansion of “AlphaFlash” into Latin America.

Deutsche Börse – Market Data & Analytics has launched “AlphaFlash”, its algorithmic news feed, in a data center in Sao Paulo. The feed is available now in Brazil, marking AlphaFlash’s official expansion into South America.
AlphaFlash is hosted at a data center at a local exchange in Sao Paulo.

“Brazil is considered the leader in algorithmic and high frequency trading in Latin America. As this growing market continues to develop, we see greater demand from local quant traders, hedge funds and market participants to consume machine-readable news quickly and efficiently. The new data center allows customers to access AlphaFlash as fast as possible—right on the spot in Brazil, so they can swiftly execute their automated trades,” said Georg Gross, Head of Front Office Data & Analytics at Deutsche Börse.

Launched in April 2010, AlphaFlash delivers low latency, machine-readable economic indicators and corporate news. Subscribers can choose among several data packages, e.g. U.S., Canadian, European or Asia-Pacific economic indicators, U.S. and Global Treasury Auctions, the Chicago PMI as well as the Corporate News Germany feed. AlphaFlash is available in a number of data centers across the globe, including Chicago, Secaucus (New Jersey), Washington D.C., Sao Paulo, Frankfurt, London, Sydney, Tokyo and Singapore.

Source: Deutsche Börse, 25.01.2012

Filed under: Brazil, Data Management, Latin America, Market Data, News, Reference Data, , , , , ,

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, , , , , , ,

LEI (Legal Entity Identifier) set to arrive in waves

A new system giving financial institutions standardized Legal Entity Identifiers (LEIs) will start to be phased in next year after an international organization finalizes new standards in January 2012.

LEI requirements for a Global Legal Entity Identifier (LEI) Solution May 2011
LEI industry progress and  recommendation July 2011

The Geneva-based International Organization for Standardization (ISO) is expected to approve a plan for LEIs at the beginning of next year, calling for them to consist of 20 alphanumeric characters. After that happens, the infrastructure is already in place to start issuing the IDs early in 2012, according to officials with the Securities Industry and Financial Markets Association.

“Assuming the standard is approved by early January, our expectations are that legal entities will be able to register in short order for an LEI,” said Tom Price, managing director and head of SIFMA’s technology, operations and business continuity planning group.

During the financial crisis, both regulators and institutions realized they did not have the information available to quickly address issues of counterparty risk. LEIs aim to change that by using a universal code that would allow counterparties to be easily identified.

The United States has provided much of the leadership behind the push for LEIs, but the concept enjoys broad support around the globe. The registering authority for LEIs will not come from any government, but rather from the Society for Worldwide Interbank Financial Telecommunications (SWIFT).

After the ISO finalizes the standard, the next step will be rule writing, which is already underway at the Commodity Futures Trading Commission with respect to swaps. Price said LEIs will be used first for swaps participants and then gradually adopted for transactions involving other types of assets until they are required for all trades.

David Strongin, who is also a managing director at SIFMA, said the U.S. will be the first country to require LEIs, but Hong Kong and Canada will likely follow fairly quickly. The European Union has committed to adopting LEIs as well, though it is unclear whether Europe will adopt the system all at once or phase it in country by country.

Strongin stressed, however, that there is a global consensus to move forward, even if not every nation and region mandates LEIs at the same time.

“The G20, both the finance ministers and leaders, have all endorsed this,” Strongin said. “From a very high level, you don’t see disagreement that an LEI is needed. I think everyone agrees that it’s an important tool to build the foundation for risk management.”

Strongin said that while many traders might not see it right now, most firms are currently working hard to prepare for LEIs. Eventually, however, the changes will touch every facet of the industry. ”There’s a lot of work going on, though there’s only so much you can do until you see the final rules,” Price added.

Source: Traders Magazine, 18.11.2011

Filed under: Data Management, Reference Data, Risk Management, Standards, , , , , , , , , , , , ,

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, , , , , , , , , , ,

Markets in Financial Instruments Regulation (MiFIR): A New Breed of Data Requirements – A-TEAM

Rather than opting for an all in one directive to herald the second coming of MiFID, the European Commission has split the update into two parts: a regulation and a directive. The Markets in Financial Instruments Regulation (MiFIR) should be of particular interest to the data management community due to its focus on all aspects of data transparency, from trade data through to transaction reporting.

According to the draft of MiFIR, which is available to download at the bottom of the blog, the regulation: “sets out requirements in relation to the disclosure of trade transparency data to the public and transaction data to competent authorities, the authorisation and ongoing obligations applicable to providers of data services, the mandatory trading of derivatives on organised venues, and specific supervisory actions regarding financial instruments and positions in derivatives.” The data transparency requirements have therefore been neatly tied together under one regulatory banner, leaving the directive to deal with aspects such as the provision of investment services and conduct of business requirements for investment firms.

The draft regulation is the culmination of the work of the European Securities and Markets Authority (ESMA) and its predecessor over the last couple of years to gather industry feedback on the implementation of the first version of MiFID and to fill in any gaps, as well as to extend the regulation beyond the equities market. The draft paper notes that the European Commission has focused on assessing the impact of these new requirements including cost effectiveness and transparency; hence it is adopting a defensive stance ahead of any possible industry backlash on the subject.

Much like its predecessor, MiFIR is focused on improving cross border transparency and ensuring a level playing field with regards to data reporting requirements and access. Although the regulation contains a number of important pre-trade data transparency requirements such as equal access to data about trading opportunities, the most important aspects for data managers will likely reside in the post-trade section of MiFIR.

The extension of transparency requirements to OTC derivatives and fixed income instruments and the multilateral trading facility (MTF) and organised trading facility (OTF) contingents in the market is one such development. These markets, however, will not face the same level of transparency requirements as the equity markets, although “equity like” instruments such as depository receipts and exchange traded funds will see the MiFID requirements extended to cover them directly. All trading venues and their related trades will therefore now be subject to the same level of transparency requirements, but these will be tailored to the individual instrument types in question (the level of transparency will be determined by instrument type rather than venue).

On transaction reporting (the area of most relevance with regards to reference data standards), MiFIR aims to improve the quality of the data underlying these reports (a common theme across a lot of recent regulation – see commentary on which here) by being much more prescriptive in the standards that must be used. The idea is for firms to provide “full access to records at all stages in the order execution process” and for trading venues, beyond just traditional exchanges to encompass MTFs and OTFs, to store relevant data for a period of five years. This data includes legal entity identification data that the regulation indicates must be reported via approved mechanisms and formatted in a certain manner that will make it accessible for regulatory oversight purposes cross border.

The exact nature of the legal entity identification (LEI) and instrument identification standards that are to be used by firms in their transaction reports is likely to be impacted by the ongoing work at a global level as part of the systemic risk monitoring effort (see more here). At the moment, a range of identifiers is acceptable, but the regulatory community has been pushing towards the Bank Identifier Code (BIC) for some time (see more on which here), but this may change before MiFIR comes into force.

Another important section of MiFIR is the one devoted to the “increased and more efficient data consolidation” for market data, which necessarily entails a reduction in the cost of this data. A City of London paper published earlier this year addressed this issue directly, noting that the majority of the European firms participating in the study believe poor data quality, high costs of pricing data and a reliance on vendors are the main barriers to post-trade transparency (see more here), and MiFIR appears to be aiming to directly address those issues.

The argument for some form of consolidated tape or tapes is an integral part of that endeavour (see recent industry commentary on this issue here) and MiFIR indicates that the aim is for data to be “reliable, timely and available at a reasonable cost.” On that last point, the regulation also includes a provision that all trading venues must make post-trade information available free of charge 15 minutes after execution, thus enabling data vendors to stay in business but increasing transparency overall (or so the logic goes). Moreover, the regulator is keen for a number of consolidated tape providers to offer market data services and improve access to a comparison of prices and trades across venues, rather than a single utility version.

In order to tackle the issue of a lack of data quality for trade reporting, all firms will also be required to publish their trade reports through approved publication arrangements (APAs), thus ensuring certain standards are adhered to.

The full MiFIR Draft paper is downloabale here  from A-TEAM

Source: A-Team Virgina´s Blog, 08.09.2011

Filed under: Data Management, Market Data, News, Reference Data, Risk Management, Standards, , , , , , , , , , , ,

Top 10 Root Causes of Data Quality : The Basics – Part 1

We all know data quality problems when we see them.  They can undermine your organization’s ability to work efficiently, comply with government regulations and make revenue. The specific technical problems include missing data, misfielded attributes, duplicate records and broken data models to name just a few.

But rather than merely patching up bad data, most experts agree that the best strategy for fighting data quality issues is to understand the root causes and put new processes in place to prevent them.  This five part blog series discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them.

In this first blog post, we’ll confront some of the more obvious root causes of data quality problems.

Root Cause Number  (1) One : Typographical Errors and Non-Conforming Data
Despite a lot of automation in our data architecture these days, data is still typed into Web forms and other user interfaces by people. A common source of data inaccuracy is that the person manually entering the data just makes a mistake. People mistype. They choose the wrong entry from a list. They enter the right data value into the wrong box.

Given complete freedom on a data field, those who enter data have to go from memory.  Is the vendor named Grainger, WW Granger, or W. W. Grainger? Ideally, there should be a corporate-wide set of reference data so that forms help users find the right vendor, customer name, city, part number, and so on.

Root Cause Attack Plan

  • Training – Make sure that those people who enter data know the impact they have on downstream applications.
  • Metadata Definitions – By locking down exactly what people can enter into a field using a definitive list, many problems can be alleviated. This metadata (for vendor names, part numbers, and so on can) become part of data quality in data integration, business applications and other solutions.
  • Monitoring – Make public the results of poorly entered data and praise those who enter data correctly. You can keep track of this with data monitoring software such as the Talend Data Quality Portal.
  • Real-time Validation – In addition to forms, validation data quality tools can be implemented to validate addresses, e-mail addresses and other important information as it is entered. Ensure that your data quality solution provides the ability to deploy data quality in application server environments, in the cloud or in an enterprise service bus (ESB).

Root Cause Number (2) Two : Information Obfuscation
Data entry errors might not be completely by mistake. How often do people give incomplete or incorrect information to safeguard their privacy?  If there is nothing at stake for those who enter data, there will be a tendency to fudge.

Even if the people entering data want to do the right thing, sometimes they cannot. If a field is not available, an alternate field is often used. This can lead to such data quality issues as having Tax ID numbers in the name field or contact information in the comments field.

Root Cause Attack Plan

  • Reward – Offer an incentive for those who enter personal data correctly. This should be focused on those who enter data from the outside, like those using Web forms. Employees should not need a reward to do their job. The type of reward will depend upon how important it is to have the correct information.
  • Accessibility – As a technologist in charge of data stewardship, be open and accessible about criticism from users. Give them a voice when processes change requiring technology change.  If you’re not accessible, users will look for quiet ways around your forms validation.
  • Real-time Validation – In addition to forms, validation data quality tools can be implemented to validate addresses, e-mail addresses and other important information as it is entered.

This post is an excerpt from a white paper available here. More to come on this subject in the days ahead.

Source: 24.08.2011 Steve Sarsfield – The Data Governance and Data Quality Insider

Filed under: Data Management, Library, Standards, , , , , , ,

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