The Next Level in Building Data-Driven Operational Efficiency

The next level of operational efficiency will incorporate a deep view of connected data within organizations that will yield better efficiencies and optimization of capital through firm-wide decision making. Taking automated action on those decisions for Straight-through Processing will enable firms to achieve the desired efficiencies in a scalable manner. Getting there has its challenges, however. In this article we look at why many in the industry are embarking on this more sophisticated approach to operational efficiency, and identify three key strategies for ensuring success. A guest post from Transcend, originally published in Securities Finance Monitor.

Continue reading “The Next Level in Building Data-Driven Operational Efficiency”

US regulation could leave firms “scrambling”

A US regime that a large number of global market participants are starting to fully assess could leave firms crunched for time to implement a comprehensive end-to-end solution, according to BJ Marcoullier, Transcend’s head of sales.

Qualified Financial Contracts (QFC) recordkeeping, a US regulatory regime that will be in its final and largest phase as of June 2021, is designed to reduce market instability in the case of failure of a major financial institution, as detailed under the Dodd-Frank Act, and is one of the regimes designed to prevent another financial crisis.

Access Global Investor Group’s full report: US regulation could leave firms “scrambling”.

Transcend Hires Former Managing Director of CloudMargin

Lis Hadingham to help drive the Company’s growth and expansion

NEW YORK, NY (February 10, 2020) – Transcend, a leading provider of real-time collateral and liquidity optimization technology, has hired Lis Hadingham to join Transcend’s sales team, led by BJ Marcoullier. Hadingham brings more than 20 years of experience in the securities finance industry, with extensive background in collateral management and financial technology sales. Her start coincides with an accelerating pipeline of opportunities for Transcend, whose solutions are currently implemented at major banks, including GSIBs.

Before joining Transcend, Hadingham was Managing Director and non-executive board member at CloudMargin where she launched and led the firm’s sales and business development initiatives in the Americas. Prior to CloudMargin, Hadingham held senior roles at FIS (formerly Sungard) selling collateral management and securities finance software solutions, and at Citibank’s Capital Markets group focusing on equity finance sales for repo and securities lending. Prior to Citibank, Lis spent 14 years at J.P. Morgan Chase, initially in London and then New York, successfully helping expand the bank’s collateral solutions.

“We are excited to welcome Lis to our growing team of experts at Transcend,” said Marcoullier. “Her extensive experience leading sales in the collateral management and securities space will play a pivotal role as Transcend supports a growing roster of clients and unique products.”

“Innovation in the collateral management space is crucial to meeting growing regulatory requirements,” said Hadingham. “I’m thrilled to join the Transcend team of experts in helping evolve the industry’s capabilities in global inventory optimization, regulatory reporting and operational efficiency.”

###

About Transcend

Transcend is a leading provider of real-time global inventory and collateral management optimization technology, enabling clients to manage intraday liquidity and regulatory requirements across capital markets. With a modular, front-to-back office approach, clients harness real-time data, collateral and liquidity across their enterprises to unlock greater efficiencies and improve returns on investments. For more information, visit www.transcendstreet.com.

Media Contact
Zain Abouseido
Paragon Public Relations
zain@paragonpr.com
+1.646.558.6226

Transcend Hires Former CTO of ENSO Financial

Kayur Parekh to lead expansion of Transcend’s technology for the buy-side

NEW YORK, NY (January 24, 2020) – Transcend, a leading provider of real-time collateral and liquidity optimization technology, has hired Kayur Parekh to join Transcend’s technology leadership team. He will focus on accelerating Transcend solutions and capabilities on the cloud and refining the solutions for the buy-side. Parekh brings more than 18 years of technology and financial markets experience.  

Before joining Transcend, Parekh was Chief Technology Officer at ENSO Financial, a leading SaaS-based solution company providing insights and analytics to the buy-side and prime brokers. At ENSO, Parekh spearheaded the technology transformation of the next generation of ENSO solutions focused on cloud and microservices based architecture. Prior to ENSO, Kayur held a number of impactful roles including Senior Technology Director at NEX (now part of CME Group), Senior Solutions Architect of the initial technology platform at Transcend, and Senior Vice President at Citi, where he implemented and managed trade capture and STP systems.

“Transcend is experiencing explosive growth for our analytics, optimization and regulatory solutions,” said Bimal Kadikar, CEO and Founder of Transcend. “I have known Kayur for years and his expertise in developing advanced, scalable systems on the cloud and for the buy-side will accelerate our strong technology capabilities and momentum.” 

“I look forward to joining Transcend and leveraging my extensive experience in delivering state-of-the-art technology for cross-asset collateral, funding and liquidity management,” said Parekh. “I am excited to work with the talented Transcend team to help solve our clients’ complex challenges.”

Collateral Management in the Age of QFC and High Quality

An Interview with Bimal Kadikar of Transcend

RMA Global Markets and Securities Lending Director Fran Garritt recently interviewed Bimal Kadikar, founder and CEO of the collateral-focused technology firm Transcend, on current issues in collateral management, including the growing demand for high-quality collateral and the recent implementation of the Qualified Financial Contracts (QFC) reporting rules. Their Q&A follows.  

This interview originally appeared in the February 2020 issue of The RMA Journal, copyright 2020 by The Risk Management Association. Read or download the PDF, here.

GARRITT: To start off, can you explain how collateral is used in securities finance?

KADIKAR: In the broadest sense, when firms execute bilateral or multiparty transactions, collateral is what backs the risk of a trade. It acts in the way a house or a car would in a mortgage or auto loan. Securities or cash are made available to secure financial transactions such as the financing of repurchase (repo) contracts. Collateral is needed to protect against any deterioration in market value or the credit quality of a counterparty.  In the case of derivatives transactions, collateral is about de-risking. In the context of repo or pure funding it’s about being able to raise cash in a secure market. Collateral is sometimes too broadly defined or ill-defined because it means different things based on who you talk to.

GARRITT: What are the key structural issues firms face now regarding collateral management?

KADIKAR: Since the credit crisis, regulators have been focused on de-risking and reducing systemic risk. A key factor is safeguarding bilateral trades. Regulators have taken one of two approaches in that area. One, they are trying to force transactions through clearing channels like central clearing on exchange-traded instruments. If a trade has to be bilateral, there is emphasis on posting the proper quantity and quality of collateral to ensure that even if there is a big negative impact on one counterparty, the financial system is stable. As a result, collateral demand is generally increasing. Meanwhile, regulators have also made changes to improve the liquidity of the big players, who now must hold more high-quality collateral on their books. The demand for high-quality collateral has increased, and the supply is lower. Firms need to figure out how to navigate this.

GARRITT: How would you define collateral optimization?

KADIKAR: Optimization means creating a process which can drive increased efficiency and financial performance. For example, if you are a margin specialist and you have a decision to make about which collateral to deliver against a specific triparty trade or margin call, optimization could mean making sure you are allocating the cheapest-to-deliver securities. Or you could be sitting on a securities lending desk and thinking about how to allocate borrows or loans to minimize the capital that has to be held against the counterparty’s books. Or you could be on a derivatives or futures desk, deciding which exchange to send cleared trades to so that margin requirements are reduced. Optimization will mean different things to different people. It boils down to having a framework that can incorporate the various factors and costs that drive that performance requirement. The various costs could be liquidity coverage ratio (LCR), jurisdictional, credit, etc. Being able to incorporate those costs harmoniously is what optimization is. It clearly is not a “one size fits all.”

Firms need to address this in a holistic manner. Often, the various business lines—securities lending, repo, derivatives—have their own platforms and systems. Creating a holistic view or capability to optimize across businesses is a challenge. Firms are in different stages of figuring out how to go about it. One challenge is there are too many businesses or silos that are either producers, consumers, or both of collateral.

GARRITT: Besides standard clearing and increased collateral requirements, what are some of the more challenging regulations firms are addressing?

KADIKAR: The Securities Financing Transaction Regulation (SFTR), the Markets in Financial Instruments Directive (MiFID II), and, more importantly, the Qualified Financial Contracts (QFC) rules require firms to be able to apply their trades to collateral, agreements, and guarantees and then report to regulators on transaction date-plus-one basis. These are fairly complicated requirements. Firms need a comprehensive ability that cuts across business silos and different functions to be able to produce that information.  Regulators are moving past writing and designing rules and getting more into the enforcement and analysis phase. They are determining how well firms are complying with the rules that have been created over the past 10 years, a majority of which are under the umbrella of the resolution planning set of rules and regard the capability firms must have.

GARRITT: What impact do the net stable funding ratio (NSFR), the aforementioned liquidity coverage ratio (LCR), and high-quality liquid assets (HQLA) rules have on collateral management?

KADIKAR: All these regulations are driving liquidity standards and the capability of firms in this space. Firms not only need high-quality assets on the books, they also need the ability to consider the liquidity buffer. Firms need a specific understanding of the sources and uses of collateral, because how it is raised and used determines whether it pertains to the numerator or denominator of the LCR or NSFR. If you don’t have the ability to connect the right dots in how you put together your sources-and-uses model, you will be penalized in how your LCR is calculated. As a result, your profitability will be impacted.

There has been a bespoke approach to how firms have chosen to operationalize the implementation of the rules. There are cases where, say, a firm’s treasury department may have been tasked with calculating LCR. In most cases that framework has not been at an enterprise level. Often there are businesses in a firm that are blind to or vaguely aware of how their activity is impacting the subsequent calculations that result once you look at operations from an LCR or HQLA basis. There has been a rough adoption of these rules in firms, which is causing friction. The impact of these rules often gets overlooked when you think about them from a measuring and operationalizing perspective.

GARRITT: What is the impact of recovery and resolution planning regulation (RRP) on the collateral business?

KADIKAR: Regulators are mandating that firms need a certain level of capability and knowledge regarding collateral. During the financial crisis, counterparty collateral at Lehman was a big issue. Regulations require every firm to know not only what collateral they have but the counterparty collateral they are holding and its jurisdiction. They must have the capability to know that information on a T-plus-one, early in the morning basis—and on an enterprise level. There are other requirements regarding payments and visibility into intraday liquidity. Firms need to know all the payment and clearing requirements, and how they would operate in normal and stress scenarios.

GARRITT:  You mentioned QFC Recordkeeping. Tell me a little more about that.

KADIKAR:  The main requirement is firms need to track in a detailed manner all contracts that are defined as qualified financial contracts. This includes tracking all derivatives, repos, margin lending, and prime activities, including trades that are in nonstandard settlement cycles. It also includes all the collateral that has been posted or received against those transactions, all the guarantees that may be in place by any party or counterparty, and the ability to create netting sets and then provide output defined by the regulators in eight sets of tables. It’s not just transaction data. It’s transaction data aligned with referential data from a counterparty and principal perspective, including who is the right contact for these things. Firms need to do this on a T-plus-one, 7 a.m. Eastern time basis.

The first step is figuring out where the relevant QFC positions are. The second challenge is reporting on agreements. More than 20 terms of an agreement are reportable under QFC recordkeeping rules. This is daunting, especially for many firms that have challenges in accessing terms of agreements in a digital form. While many firms have this information digitally, not all do. And even for firms that have agreements in digital form, systems that book trades often do not refer to agreement IDs, which would tie positions to agreements in a seamless manner. Further, QFC recordkeeping is not just a matter of reporting on the counterparty and principal. There are many other aspects, especially in complicated scenarios like when there are multiple legal entities on the counterparty side. And that has to be provided not only for the position but for the collateral. You need to overlay the reference data and make sure it is available in a linked manner. Getting clean data for reference purposes is also a big challenge—even simple data points like the right contact person or city. Regulators have specific requirements regarding the format they want information in. If you do not have it that way, you may be faced with a big cleanup or mapping exercise.

Once you figure out the reporting, you must ensure you can reproduce it on a on a day-to-day basis. You need a dashboard to see how you are doing regarding compliance and to identify problems—and who needs to fix them—on an ongoing basis.

The idea behind the recordkeeping is if the Federal Reserve or Federal Deposit Insurance Corporation has to liquidate a failing institution they need a good set of information to make decisions on contracts. QFC recordkeeping provides a consolidated set of information to make quick and quality decisions in a stress event.

GARRITT: Which firms have to comply?

KADIKAR: Six firms were set to be in scope by the end of 2019. Up to roughly 30 overall will likely need to comply by 2021. The scope is determined by size and complexity. Due to the quickly approaching compliance dates, there has recently been a significant increase in focus on QFC-related requirements by the remaining in-scope firms. This was particularly evident at the RMA-EY hosted roundtable that took place in November. Firms are addressing challenges including how to strategically digitize a diverse set of legal agreements, how to link QFC data across disparate data centers and attributes, how should exemption monitoring be handled, and asking questions like how to run a QFC Recordkeeping program in BAU mode.

GARRITT: What final advice would you have for firms as they work to comply with QFC and other recordkeeping regulations?

KADIKAR: Implement systems in a way that it is sure to drive business value. This is a huge challenge for the industry. Institutions are investing billions of dollars into regulatory initiatives. They must ensure they can capture a business benefit from all of this data, and must think about this as they are designing solutions.

GARRITT: What sorts of benefits?

KADIKAR: There are significant advantages to having the right data in the right form regarding decisions for placing collateral and funding opportunities. Counterparty credit issues can also be addressed with a connected data set. And there are other stakeholders who have emerged who are looking to benefit from this information, whether it is liquidity risk reporting requirements or enterprise credit looking for better data regarding the overall ecosystem. If you do things properly and in a way that creates a connected data ecosystem to make decisions in real-time, or at minimum at an end-of-day or start-of-day basis, you can use the same infrastructure for other regulations as they come along.

As Transcend’s Business Grows, So Has Our India Team and Office

Our CEO Bimal Kadikar joined our team in India to open a larger office in Hyderabad. We have expanded our team’s talent and capabilities significantly across all functions – analysis, development, QA & support. This bigger, brighter space creates a very collaborative environment and will support our ambitious growth plans.

2020 Outlook: Bimal Kadikar, Transcend Street Solutions

What were the key themes for your business in 2019?

At Transcend, we have seen a growing shift in the industry towards firm-wide optimization of collateral, liquidity and funding. Our clients’ goals are to manage their capital more effectively and drive efficiencies across the enterprise, and that requires a coordinated, integrated and automated approach across siloed business lines, systems and processes. It is no small task to connect and harmonize vast sets of data related to collateral – such as agreements, positions and trades – and various workflows, but the returns are quickly realized. The good news is that firms can pursue their optimization strategy widely, or they can choose to focus on a priority area of their business and scale from there.

What are your expectations for 2020?

In 2020, we expect a continued increase in complexity and bottom-line pressures. Firms need to provide differentiated, competitive services to drive profitability, despite potentially operating with legacy technology and processes. Plus, they face growing reporting requirements and regulatory pressures (such as QFC Recordkeeping and SFTR). This is leading more firms to the realization of the need – and benefits – to undertake a centralized optimization strategy to help overcome multiple challenges through a singular solution.

What trends are getting underway that people may not know about but will be important?

Everyone understands that automation in the funding and collateral space is occurring at a fast pace. At Transcend, we believe that in five years, as much as 90% of funding will be done by machines. But what is not fully in focus is that connecting data from disparate sources is the key to this next evolution in the funding markets. Today, most data is fragmented across a firm. To be effective, data needs to flow from the original sources and be readable by each system in a fully automated way. Thus, harmonizing and connecting data needs to be every firm’s priority in order to achieve automation and optimization.

This article was originally published on Markets Media.

A Connected Collateral Ecosystem

Recent advances in collateral management technology – from algorithms to advanced analytics – are revolutionising the opportunities available to firms seeking optimisation at an enterprise-wide level.

Firms are increasingly realising the advantages of adopting a more centralised and harmonised approach to managing collateral, and utilising the latest software solutions to inform decision-making. Bimal Kadikar, CEO at Transcend, says: “Forward-looking firms have recognised that optimising collateral and liquidity across an enterprise, as well as within business areas, can drive efficiencies and deliver wider strategic benefits.”

Continue reading “A Connected Collateral Ecosystem”

Collateral in 2020: Driving Optimization in an Evolving Ecosystem

In this Global Investor Group Special Report, Collateral in 2020, Bimal Kadikar outlines the steps firms can take to optimise collateral at an enterprise-wide level and explains how a connected collateral ecosystem can be utilised to inform decision-making.

“Forward-looking firms have recognised that optimising collateral and liquidity across an enterprise, as well as within business areas, can drive efficiencies and deliver wider strategic benefits.”

Access Global Investor Group’s full report: Collateral in 2020 – Driving optimisation in an evolving ecosystem.

Connected Data: The Opportunity for Collateral and Liquidity Optimization

The function and definition of collateral and liquidity optimization has continued to expand from its roots in the early 2000s. Practitioners must now consider the application of connected data on security holders to operationalize the next level of efficiency in balance sheet management. A guest post from Transcend.

The concept of connected data, or metadata, in financial markets can sound like a new age philosophy, but really refers to the description of security holdings and agreements that together deliver an understanding of what collateral must be received and delivered, where it originated and how it must be considered on the balance sheet. This information is not available from simply observing the quantity and price of the security in a portfolio. Rather, connected data is an important wrapper for information that is too complex to show in a simple spreadsheet.

Earlier days of optimization meant ordering best to deliver collateral in a list, or creating algorithms based on Credit Support Annexes and collateral schedules. These were effective tools in their day and were appropriate for the level of balance sheet expertise and technology at hand; some were in fact quite advanced. These techniques enabled banks and buy-side firms to take advantage of best pricing in the marketplace for collateral assets that could be lent to internal or external counterparties. Many of these techniques are still in use today. While they deliver on what they were designed for, they are fast becoming outmoded. Consequently, firms relying on these methodologies struggle to drive further increases in balance sheet efficiency, and in order to maintain financial performance targets may need to charge higher prices. This is not a sustainable strategy.

The next level of collateral optimization considers connected data in collateral calculations. Interest is being driven by better technology that can more precisely track financial performance in real time. A finely tuned understanding of the nature of the individual positions and how they impact the firm can in turn mandate a new kind of collateral optimization methodology that structures cheapest to deliver based on a combination of performance impacting factors and market pricing. This gives a new meaning to “best collateral” for any given margin requirement. This only becomes possible when connected data is integrated into the collateral optimization platform.

As an example of applying connected data, not all equities are the same on a balance sheet. A client position that must be funded has one implication while a firm position has another. Both bring a funding and liquidity cost. A firm long delivered against a customer short is internalization, which has a specific balance sheet impact. Depending on balance sheet liquidity, this impact may need additional capital to maintain. Likewise, an expected tenor of a position will impact liquidity treatments. A decision to retain or host these different assets as collateral can in turn feedback to Liquidity Coverage Ratio, Leverage Ratio and other metrics for internal and external consumption.

If these impacts can be observed in real-time, the firm may find that internalizing the position reduces balance sheet but is sub-optimal compared to borrowing the collateral externally. This of course carries its own funding and capital charges, along with counterparty credit limits and risk weightings in the bilateral market. These could in turn be balanced by repo-ing out the firm position, and by tenor matching collateral liabilities in line with the Liquidity Coverage Ratio and future Net Stable Funding Ratio requirements. Anyone familiar with balance sheet calculations will see that these overlapping and potentially conflicting objectives may result in decisions that increase or decrease costs depending on the outcome. By understanding the connected data of each position, including available assets and what needs to be funded, firms can make the best possible decision in collateral utilization. Importantly, the end result is to reduce slippage, increase efficiency, and ultimately deliver greater revenues and better client pricing based on smarter balance sheet management.

Another way to look at the new view of collateral optimization is as the second derivative. The first derivative was the ordering of lists or observation of collateral schedules. The next generation incorporates connected data across collateral holdings and requirements for a more granular understanding of what collateral needs to be delivered and where, and how this will impact the balance sheet and funding costs. It has taken some time to build the technology and an internal perspective, but firms are now ready to engage in this next level of collateral sophistication.

Implementing technology for connected data in collateral and liquidity

A connected data framework starts with assessing what data is available and what needs to be tagged for informing the next level of information about collateral holdings. This process is achievable only with a scalable technology solution: it is not possible to manage this level of information manually let alone for real time decision making. Building out a technology platform requires careful consideration of the end to end use case. If firms get this part right, they can succeed in building out a connected data ecosystem.

The connected data project also requires access to a wide range of data sources. Advances in technology have allowed data to be captured and presented to traders, regulators, and credit and operations teams. But right now, most data are fragmented, looking more like spaghetti than a coherent picture of activity across the organization. To be effective, data needs to flow from the original sources and be readable by each system in a fully automated way.

Once a usable, tagged data set has been established, it can then be applied to collateral optimization and actionable results. This can include what-if scenarios, algorithmic trading, workflow management, and further to areas like transfer pricing analytics. Assessing and organizing the data, then tagging it appropriately, can yield broad-ranging results.

Building out the collateral mindset

An evolution in the practice of collateral optimization requires a more holistic view of what collateral is supposed to do for the firm and how to get there. This is a complex cultural challenge and is part of an ongoing evolution in capital markets about the role of the firm, digitization and how services are delivered. While difficult to track, market participants can qualitatively point to differences in how they and their peers think about collateral today versus five years ago. The further the past distance, the greater the change, which naturally suggests challenges when looking at a possible future state.

An important element to developing scalable collateral thinking is the application of technology; our observation is that technology and thinking about how the technology can be applied go hand-in-hand. As each new wave of technology is introduced, new possibilities emerge to think about balance sheet efficiency and also how services are delivered both internally and to clients. In solving these challenges for our clients using our technology, it is evident that a new vision is required before a technology roadmap can be designed or implemented.

The application of connected data for the collateral market is one such point of evolution. Before connected data were available on a digitized basis, collateral desks relied either on ordered lists or individual/manual understandings of which positions were available for which purposes. There was no conversation about the balance sheet except in general terms. Now however, standardized connected data means that every trading desk, operations team and balance sheet decision maker can refine options for what collateral to deliver based on the best balance sheet outcome in near real-time. New scenarios can be run that were never possible, and pricing for clients can be obtained in time spans that used to take hours if not a day or more.

Now that collateral optimization based on connected data is available, this requires firms to think about what services they can deliver to clients on an automated basis, and what should be bundled and what should be kept disaggregated. As new competitors loom in both the retail and institutional space, these sorts of conversations driven by technology and collateral become critical to the future of the business. Connected data is leading the way.

This article was originally published on Securities Finance Monitor.

View and/or download Article PDF

Finadium report on ISDA’s Common Domain Model and the Digitization of Collateral

Finadium recently spoke to Bimal Kadikar, CEO of Transcend, regarding the adoption of ISDA’s Common Domain Model (CDM) by market participants. Finadium’s new report, published by Josh Galper, Managing Principal, evaluates the role of CDM to solve business problems for collateralized trading markets and its potential to standardize data elements across the derivatives lifecycle. Bimal commented on the pace of industry adoption:  

“Firms can migrate to CDM on their own schedules. It’s not like blockchain where the entire industry may need to switch over at the same time. Firms can also pick parts of CDM when they are ready for digitization at different points. This will help firms take advantage.” 

Access Finadium’s full report: The Common Domain Model: A Kickoff for Digitization in Collateral at Last?

Centralized collateral management becoming a reality

Collateral management has transitioned from an ancillary service to a core competency, largely as a result of the sheer breadth of activity from front to back office and horizontally across silos and asset classes. This has spurred a marked shift towards centralization of collateral management, providing organizations with a centralized view of inventory as well as funding and collateral optimization decisions.

But the move to a more efficient and centralized model is not without challenges. Inefficiencies and the cost of errors are magnified by the multiplicity of internal and external relationships that need to be managed and the requirement to control positions more frequently, even in real-time.

This requires a fundamental shift from managing assets only for margin purposes to managing assets for value, cost and balance sheet purposes.

Moving to a centralized collateral organization is a difficult step for many reasons and as a result, some firms are decoupling their business organization from their technology capabilities.  They are instead focusing on building a centralized, horizontal technology strategy for inventory and collateral management.

In either case, the end goal may be the same – a holistic infrastructure that can yield the benefits of centralized collateral and inventory management coupled with sophisticated analytics and firm-wide optimization capabilities. Fortunately, today’s technology enables this ultimate goal as well as the smaller moves in this direction.

Steps to collateral optimization

Regardless of the approach taken, there are a number of best practices for firms looking to increase the efficiency of their collateral and liquidity management:

  1. Achieve visibility into inventory across multiple business lines and regions. This centralized view is extremely important.
  2. Ensure all collateral schedules and legal agreements are easily accessible as these will impose constraints on decision-making.
  3. Take a centralized view of different types of obligations and requirements to enable good decision-making.
  4. Establish targeted analytics and Key Performance Indicators (KPIs) to measure and monitor progress of these initiatives.

These are vital foundational steps towards achieving an optimized collateral management environment.

Connected data: The key to better decision-making

Of course, bringing the data together is just one part of the process – the next step is to connect the data so that algorithms and analytics can be applied to it. Firms understand that the information is there for them to make better decisions, but they face a challenge in getting useable information and putting it to work.

The main obstacle, in most cases, is that they have built their operational structures and technology around specific areas of the business. To achieve a view across the whole enterprise, these businesses require coordination and connectivity across a large number of different internal and external systems – not easy to accomplish.

The solution lies in implementing a system that is easy to integrate and is targeted at connecting and harmonizing this data.

Avoiding costly re-engineering

There are sometimes negative connotations around the phrase ‘legacy technology’ but this is not always accurate. A firm’s existing securities lending or repo or margin systems may be good, but they will more often than not have been built as separate systems. Rather than re-engineering all these systems, what the firm needs is a layer that pulls these disparate systems together to ensure they are seeing a holistic and harmonized view of inventory, positions and obligations.

Most firms have taken some steps to improve their inventory management, but there is a wide difference across the industry in terms of the strategies adopted to achieve this objective. Some organizations are trying to address the issue in a tactical way, fixing one system at a time to see whether this gives them greater visibility, but this approach does not have much longevity from a strategic perspective.

The larger organizations have usually taken a more strategic approach. Some see it as primarily an internal engineering effort, while others are talking to firms such as Transcend as they seek to harness real-time data, collateral and liquidity.

Regardless of the approach taken, being able to optimize collateral and liquidity decisions at an enterprise level has huge benefits. The sheer number of firms and analysts that have explored the scale of these benefits underlines the significance of the opportunity, and we find that most firms are actively taking steps towards achieving these capabilities.

Optimization models can be implemented with a rules-based approach or even using more sophisticated algorithms (i.e. linear and non-linear programming models). These all have a vital role to play in monetizing the connected data across the firm.

Scaling the benefits

Being able to optimize collateral across business lines is an obvious benefit, but there are also advantages to be gained from reducing internal errors and fail rates. In addition, funding costs will fall because firms will be managing their funding operations more efficiently: improving securitized funding leads to a reduction in more expensive, unsecured funding.

Whether or not firms embrace centralization across all aspects of their business, it is clear that rationalizing complex systems and harnessing fragmented data sets provides for informed, confident and compliant decision-making. And once centralized funding and collateral management are fully achieved, the benefits of efficiency, cost-savings and liquidity attain even greater scale for the firm.

This article was originally published on Global Investor Group.

View and/or download Article PDF