Golden Copy: Looming Blockchain and Disclosure Mountains
Importance of interoperability rises as distributed ledger uses expand; GDPR rules have a broader aim
 
      
Although I hadn't quite taken this tack or angle at the time, when reporting what led to a 2014 column about bitcoin and blockchain, it was evident that supporters of the technology saw its potential as a new global standard for financial industry transactions and information.
Nearly two years later, the industry is very obviously catching on to that potential, as Inside Reference Data and our sister site, WatersTechnology, have been reporting. There is more on that front our May issue, in "Blockchain's Pivotal Moment," and what's notable in this report is just how quickly fragmentation has occurred when it comes to trying to set standards for the distributed ledger technology (DLT) at blockchain's core. Keeping blockchain records and information consistent is already a tall order, with the inherently fragmented nature of its distributed ledger technology. Still more hurdles to standardization and consistency have emerged-namely reconciliation issues already existing with reference data, as DTCC technology executive Robert Palatnick says, as well as the emergence of numerous blockchain ecosystems in different markets, as described by Northern Trust's Justin Chapman.
So, firms will have to think about interoperability when developing any blockchain solutions, as ING's Jurgen Vreogh concludes. Aside from setting a standard, especially an interoperability standard, a consistent core of centralized data is necessary as a foundation for working with blockchain, as MUFG Canada Branch's Ron Lee says in this month's "Interview With." Lee's firm and others are thinking about extending blockchain into other data management functions, and corporate actions is just one of the functions being explored.
Without an industry standard, for blockchain to even reliably handle keeping a record of data or transmitting data from transactions is going to be difficult, and far from the ideal its earliest proponents may have imagined. If firms and service providers start using blockchain as an engine for all sorts of financial industry functions and operations, that could result in a massive headache from a lack of compatibility between various data operations.
Lastly, in a recent online column, I called certain positions set forth separately by European regulators in MiFID II and GDPR (General Data Protection Regulation) contradictory. This issue contains a closer look at GDPR, which places its rationale more in line with an effort to increase firms' accountability for investment decisions and how carefully records of those decisions are created and preserved.
While GDPR requires firms to get consent from clients to access and use personal information-separately for each distinct transaction-the European Commission may want firms to then use the entity identifier and other pieces of information they get to ensure client investments are protected, as demanded in MiFID II, as well as to aggregate risk data and determine risk profiles in compliance with BCBS 239. It is contradictory to require consent to disclose data from one set of market participants but demand the same kind of data be disclosed by others, but the aim of GDPR does still fit into overall European Commission financial regulatory goals.
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 Data Management
      
    
  SIX, ViaNexus build market data platform to unite data consumers, producers
The assets that formerly comprised IEX Cloud will underpin a new market data platform that hopes to give SIX Group and its data consumers a closer, more controlled relationship.
MSCI CEO: Vendor ‘feverishly’ infusing ‘every aspect’ of MSCI with AI
Additionally, while the vendor’s new private credit tools haven’t yet translated into outsized sales revenue, Henry Fernandez says “they will” in the future.
Follow the money: The fintech funding machine shifts gears
The IMD Wrap: Freshly back from the hospital, Max sizes up the booming (or is it?) fintech investment universe and wonders where to sock away his retirement savings.
Goldman’s credit reporting proposal sparks criticism
The shift to end-of-day and next-day reporting on large portfolio trades is seen as a step back for transparency.
S&P Global partners with IBM, Eventus launches Frank AI, Tradeweb expands algo execution abilities, and more
The Waters Cooler: Arcesium makes waves with Aquata Marketplace, NYSE Cloud flows into Blue Ocean Technologies, and more in this week’s news roundup.
Is market data compliance too complex for AI?
The IMD Wrap: Reb looks at two recent studies and an article by CJC, which cast doubt on AI’s ability to manage complexity.
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
As firms look to break down silos across business divisions to bolster operational resilience, the US broker is ditching emails, while utilizing chaos engineering and automating everything in sight.
Can AI be the solution to ESG backlash?
AI is streamlining the complexities of ESG data management, but there are still ongoing challenges.
 
 
   
   
   
   
   
   
  