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ON THE MOVE: BoA Grabs Monnery for Prime Brokerage

Chris Monnery

Bank of America has hired Chris Monnery as a director in their Prime Brokerage division focused on their Risk platform. He joined from Fidessa where he was the global head of low-touch order management business development. Prior to that he spent over 15 years with Morgan Stanley and Citi across various roles in prime, futures and electronic trading.

Chris Monnery
Chris Monnery

If you have a new job or promotion to report, let me know at jdantona@marketsmedia.com.

JonesTrading announced it has landed Peter Sellers as Head of European Outsourced Trading to run its Outsourced Trading Services in Europe. Sellers, brings over a decade of industry experience and expertise to the role. Most recently he was at Caxton Associates in Global Equity Trading. Prior to that, he served as Global Trader, Adams Hill Partners. He was European Trader at Perry Capital London and was also with Perry earlier in his career as a US Event Trader in New York. Sellers will be based in New York and London, reporting to Jeff LeVeen, Managing Director and Head of Outsourced Trading.

World Federation of Exchanges (“WFE”), the global industry group for exchanges and CCPs, elected four Directors of the Board. They are:

Greg Wojciechowski, President & CEO, Bermuda Stock Exchange – Director, Americas region (3-year term)

Juan Pablo Cordoba, CEO, Bolsa de Valores de Colombia – Director, Americas region (3-year term)

Jiwon Jung, Chairman & CEO, Korea Exchange – Director, Asia-Pacific region (3-year term)

Akira Kiyota, Group CEO, Japan Exchange Group – Director, Asia-Pacific region (3-year term)

Aviva Investors, a global asset manager, appointed Emma Halley as Head of Investment Process for Multi-asset and Macro. In this new role, she will be responsible for the generation, structuring and completion of new ideas across Aviva Investors’ multi-asset portfolios. Halley joins from Fulcrum Asset Management, where she was Head of Portfolio Management. Prior to this, she spent four years in the Global Fixed Income team at Schroders. Based in London, Halley reports to Peter Fitzgerald, Chief Investment Officer, Multi-asset and Macro.

Financial and regulatory litigation attorney David Slovick has joined Barnes & Thornburg’s Washington, D.C., office as a partner in the firm’s Litigation Department. Slovick joins from Cahill Gordon & Reindel LLP in New York, where he was counsel in the Litigation Group. Slovick is a former senior enforcement attorney at both the U.S. Commodity Futures Trading Commission (CFTC) and the Securities and Exchange Commission (SEC). In these roles, he led numerous administrative investigations and federal court actions involving a wide range of conduct in the derivatives and securities markets, including futures, swaps and securities trading practices; market manipulation; insider trading; commodity pool fraud; futures and foreign exchange Ponzi schemes; securities offering and disclosure fraud; accounting fraud; and options trading.

Invest Europe has appointed Eric de Montgolfier as new CEO to lead the world’s largest association of private capital providers and investors. A highly-experienced private equity professional, de Montgolfier joins from Brussels-listed investment manager Gimv, where he was Partner and Head of Gimv France, responsible for overseeing investment and group strategy in the market.

Citigroup has named Douglas Adams and James Fleming its new global co-heads of equity capital markets (ECM), the unit that helps companies raise money on public stock exchanges. Their appointments come at a difficult time for the business. Refinitiv data show ECM fees have fallen 16 per cent industry-wide this year, and WeWork’s failed IPO and sharp post-listing declines from others like Peloton are expected to deter other companies from testing the market in the coming months.

London Stock Exchange Group (LSEG) grabbed Tadashi Tago as Group as Head of Information Services for Japan. In this newly created position, he will lead the growth and development of LSEG’s information services businesses in Japan, including global index provider, FTSE Russell, as well as analytics and data solutions. Tadashi came from Bloomberg, where he successfully led the firm’s index and analytics business in Japan. Prior to Bloomberg, he spent 14 years at senior positions covering indexing and analytics at Barclays and Lehman Brothers in Japan. He also held various roles in derivatives trading, international business planning, IT planning and product development at several financial institutions in Japan.

patrick_dwyer

Boston Private, a leading provider of fully integrated wealth management, trust, private and commercial banking services, appointed Patrick Dwyer as Managing Director, Head of Strategic Business Development. With over 30-years of experience, Dwyer will focus on driving growth across all of Boston Private’s markets. Prior to joining Boston Private, he served as Private Wealth Advisor at Merrill for nearly three decades.

Style Analytics, the provider of factor-based portfolio and market analytical tools for investment professionals, landed Damian Handzy as Chief Commercial Officer. Based in the US, Handzy will be responsible for a broad range of both strategic and tactical functions including commercial strategy, product & market research, marketing, and strategic partnerships. He has over 20 years’ experience in the investment industry with a focus on growing software platforms inspired by technical and financial innovations. He founded Investor Analytics in 1999 as Wall Street’s first cloud-based, multi-asset risk platform, which he sold in 2016. Prior to joining Style Analytics, Damian served as Global Head of Risk for StatPro.

Traders: Managing Risk or Risking Jail

Prison Fence in Black and White. Barbed Wire Fence Closeup.

As the trial against a former foreign exchange (FX) trader charged with price fixing kicked off in a Manhattan court this month, it is important to understand that criminal antitrust exposure has increased for traders at global banks dramatically over the past 10 years due to the expanding reach of U.S. antitrust law. Recently, the Department of Justice (DOJ) has scrutinized bankers dealing in major markets when their efforts to gather market color from other bankers seemingly spilled over into collusion. Their actions have not only embroiled them in Kafkaesque investigations, but even if a jury finds a trader not guilty or the DOJ investigation is closed with no action, regulators and private plaintiffs’ actions will persist for years and may result in billions of dollars in fines and civil settlements, debarment and suspension as asset managers, and reputational risk.

There are primarily two ways investigators have learned about potential collusion among traders: leniency applications and required self-reporting.

The DOJ Antitrust Division’s corporate leniency policy allows the first company to self-report a criminal antitrust violation and cooperate to secure a nonprosecution agreement, and potentially even have its key executives covered under that nonprosecution agreement. An executive may come forward and get the same protection if he or she is first in the door and beats the company in. Those who come in second, third or not at all risk prosecution and higher penalties the longer they wait. For some bankers, that has meant jail sentences. According to public statements by DOJ officials, applications for leniency under the Antitrust Division’s leniency policy are the reason for easily more than half of the hundreds of prosecutions secured by the Antitrust Division across numerous industries over the past decade.

Recent plea agreements and deferred prosecution agreements with global banks have required those banks to self-report to the DOJ potential antitrust and fraud violations by their traders. This does not bode well for traders at global banks because, in the DOJ’s view, these banks are now recidivists, resulting in the DOJ increasing resources for uncovering the full story even when traders are in a different market employed by a different subsidiary with different managers.

What constitutes a violation?

A criminal violation of the antitrust laws requires only that two or more competitors agree to influence a price. That is price fixing. Significantly, there is no requirement that a person intends to violate the law or that the result of the combined effort actually had an adverse effect on any potential victim. It’s a violation simply to make a joint effort to push a price in one or direction or another, the penalty for which can be up to 10 years in jail.

Implications for traders

The Antitrust Division has made it clear that due to the importance of the financial services industry to our nation’s economy and the global economy, it will continue to pursue even the toughest cases. That means we can expect more charges against bankers even where there is only a little better than a 50% chance that the government will win at trial.

An example of the Antitrust Division’s commitment to these prosecutions was the trial against three former FX traders charged with price fixing in 2018. The DOJ’s case was based on the testimony of a witness who participated in the alleged conspiracy and received a nonprosecution agreement in exchange for cooperation and testimony. The indictment alleged that the cooperator and three other traders at competing global banks agreed to influence the price of the euro-U.S. dollar currency pair through an agreement to help each other and refrain from trading against each other. Although the defendants were acquitted, each one lost their job and faced multiple regulatory actions.

Courts have ample experience assessing price fixing, and prior to the trial, the court stated, “[w]hatever may be its peculiar problems and characteristics, the Sherman Act, so far as price-fixing agreements are concerned, establishes one uniform rule applicable to all industries alike.” The court went on to state unequivocally that price-fixing allegations against competitors occupying the same level of the FX market structure is a criminal violation.

In late October, before Judge John G. Koeltl in a Manhattan federal court, the DOJ began the trial of Akshay Aiyer, a former JPMorgan trader, based on similar allegations of FX market collusion. Unlike in the first FX trial, Aiyer must face two of his alleged co-conspirators, who have already pleaded guilty to participating in the conspiracy with Aiyer and agreed to testify if needed.

These two FX cases follow the significant Antitrust Division prosecutions of brokers and traders of the London Interbank Offered Rate (LIBOR). Beginning as far back as 2003, numerous brokers and traders conspired to manipulate LIBOR by submitting intentionally erroneous borrowing costs instead of submitting the rates the bank would actually pay to borrow money. The traders also colluded with members of other global banks to do the same, with the effect of influencing LIBOR in a way that would benefit the traders. Sixteen individuals were criminally charged. As with the FX defendants, many of the LIBOR defendants were not U.S. citizens, did not work for banks in the U.S. and did not trade in the U.S. Six banks, including their non-U.S. affiliates, were also convicted and had to pay more than $1.3 billion in criminal fines.

The risk for traders will persist. The case law to pursue traders in these markets has been refined, giving courts more experience and comfort to let these cases on the criminal side proceed in conjunction with the cross-border regulatory actions and growing civil class actions.

While the DOJ has faced scrutiny for not prosecuting bank CEOs, it has added a tool in pursuing market manipulation against market makers. The antitrust law in the U.S. covers various modes of conduct and those who manage traders must be aware of the risks. Measures can be taken to ensure communications between traders are monitored and trading is analyzed. Managing this risk is vital for bankers.

What’s Exchanged?

Lou Pastina, Managing Member at Global Markets Advisory Group

Lou Pastina, Managing Member at Global Markets Advisory Group
Lou Pastina, Managing Member at Global Markets Advisory Group
The pattern has been repeated in many industries. A few large players develop monopolistic tendencies, and customers complain. The answer by government is to create competition, so rules are loosened to allow new entrants into the market. Rules that protected the monopolies are watered down; leaks and cracks appear in the ramparts, and suddenly those large players are fighting for their lives as they previously knew them.

The introduction of new technologies is usually a driver in the changes that follow. Market share is redistributed. The entrenched must change or die. The entrepreneurial upstarts are laser-focused on upending the status quo. However, it never really turns out how you think it will. Think about the airline business for example. Large airlines dominated the scene, encouraged by government because the only way to get an entire industry off the ground is to provide monopolistic like support to capitalize the infrastructure needed to introduce something as life changing as air-travel. But as decades go by and people are used to flying, it becomes apparent that newer technologies are not being integrated and customer service declines, and prices increase. So, the government introduces new players who fly smaller, faster planes at cheaper prices. Some large players don’t know how to change and go out of business. Others simply buy the upstarts and integrate them into their older operations providing a quick way to freshen up their offerings.

And so, when stock exchanges started to ignore the requests of its best customers and members, the same story enfolded. Alternative Trading Systems morphed into newer, tech-savvy- Exchanges and challenged the dominant players in the industry. Not surprisingly those upstarts were bought out by the more established Exchanges and the industry was refreshed with newer technology, an updated infrastructure, and newer, younger management teams more responsive to their customers.

But like the airline industry the old monopolistic tendencies sometimes creep back into the operating protocols of Exchanges. This is certainly true regarding the ongoing debate over the cost of market data. In addition, listings are still a duopoly, with little competition to speak of.

So, what happened to the upstarts? Well let’s take a look. The NYSE operates five stock exchanges: the former American Stock Exchange, Chicago Stock Exchange: National Stock Exchange; Archipelago (itself the former Pacific Stock Exchange) and of course the New York Stock Exchange.

The Nasdaq acquired the Boston Stock Exchange, Island/Instinet/Brut, Philadelphia Stock Exchange, and of course their own, the Nasdaq.

The Cboe recently acquired the Bats exchanges which included two of their own plus the two Direct Edge Exchanges.

The only independent Exchange in operation is the IEX Exchange, although the LTSE was recently approved, but not operational yet.

That means that after a period of confusing but innovating technological and regulatory driven changes that saw many entrepreneurial upstarts come on the scene, the former dominating Exchanges are even more dominating today. The count as of exchanges owned by the major players stands at NYSE (5); Nasdaq (3); and Cboe (4).

Why do they have to own multiple licenses? Well it becomes a game of pricing really. Each offer a complicated set of pricing for trading on their markets. Some charge to take liquidity, some charge to post liquidity. One charges for both. They mostly all charge for market data, the end product of their “factories”. And only two really charge fees to the corporate community for listing and to provide a secondary market for trading of their securities.

Is all that necessary? Probably not. They are competing with each other, and maybe that stirs some continued innovation, or competitive pricing, but that is debatable. What is not debatable is that the pattern has continued. Monopoly to establish an industry; governmental intervention to spark change; chaotic scrambles to buy and be bought; consolidation reversion back to the mean.

If one thing is for sure, it is that every ten to fifteen years there will be change. But rest assured in that change, everything will be as it once was, you simply have to wait long enough.

Q&A: Scott Penberthy, Google

Scott Penberthy, Director of Applied AI at Google

Artificial intelligence (AI) is the buzz-phrase these days – especially in finance.

How can the buy-side better utilize it in making smarter and more efficient trading decisions. For the sell-side, the question is how can AI help them create better automated tools that can attract order flow and buy-side business. Enter Google, which has been employing AI for years making life easier outside Wall Street – helping ordinary people find the best price on travel to arcane information.

Scott Penberthy, Director of Applied AI at Google
Scott Penberthy, Director of Applied AI at Google
Recently, Scott Penberthy, Director of Applied AI at Google, spoke with Traders Magazine’s editor John D’Antona Jr. about AI and the capital markets. Penberthy discussed the future trends in AI projects, the kind of AI project more financial institutions will take on and best practices for evaluating said projects.

TRADERS MAGAZINE: How do you see AI evolving?

Scott Penberthy: Think of AI like databases from the 1980s. Back then, databases were new, fresh and cool. But today, we don’t ask whether an application or system is “database-powered.” Databases are just a tool — a powerful and necessary one — in building software systems.

AI is moving that way, too. Systems powered by AI will handle more inbound data than humans, make better predictions than we could by ourselves, and often generate novel experiences for our customers. AI-powered software will get better with use, as it learns and adapts. This will map to business processes, which will continuously improve.

TM: What AI projects do you predict financial institutions will tackle next?

Penberthy: Financial institutions have leveraged machine learning (ML) and quantitative analysis for years, and we’ve already been working with financial institutions for quite some time to leverage AI for many different business cases. The global financial institution ING infused AI into its early warning system for credit risk analysts to vet potential risk exposure for clients. Canadian data company Flinks created a risk scoring engine with AI so that its customers could present best credit offers to users. And Grasshopper, a tech-based trading company out of Singapore, has leveraged our Cloud Machine Learning Engine to power large machine learning (ML) tasks.

What’s new is that computers can now see, read, hear, write and speak — improving exponentially with compute power and advances in algorithms. Computers can make predictions with incredible speed and accuracy.

We’re seeing core business problems reframed as predictions, especially in areas where a shortage of talent impacts customer experience. For example, contact center AI can handle inbound customer inquiries via voice, chat, email and imagery, augmenting with machines that predict customer intention. In another area, companies suffer from data being trapped in scanned documents, PDFs, and unstructured text. With document understanding AI, computers can read these documents and predict the data to extract.

TM: Who is driving these projects – the banks? Investors such as large pension funds and money managers?

Penberthy: It’s really the entire industry. Investing in AI is a hallmark of leadership in financial services, in addition to other industries.

TM: What are the best practices you recommend to financial firms when evaluating AI solutions?

Penberthy: Start with core business. How can you reframe your biggest challenges as a prediction problem? After that, figure out what data you’d need to make the prediction — where you think the “signal” sits in giving you sufficient insight to make the prediction. Use that insight to pull relevant data into the cloud, clean it and create dashboards. Then, begin iterating on AI that automates predictions. BigQuery, BigQuery ML and AutoML tables are a great place to start on Google Cloud Platform.

TM: Are we at a point where AI will replace employees?

Penberthy: AI can empower — not replace — employees by relieving them of some of the more mundane tasks and freeing them to focus on more impactful efforts. AI can automate some tasks and handle the data, without the need to increase a workforce. Additionally, AI can help employees become upskilled and as a result have more meaningful jobs and long-term careers. AI is a tool to be leveraged, rather than a new workforce.

TM: Are the benefits of AI being transferred to consumers or does it benefit financial institutions?

Penberthy: A growing number of financial institutions are applying AI to customer advice and interactions, laying the groundwork for self-driving finance. Customers will vote with their wallet, preferring businesses that adapt to their changing needs, faster, and more accurately than others.

TM: What does the future look like for Google Cloud and AI, particularly in the financial industry?

Penberthy: Our mission has always been to make the world’s information universally accessible and useful and now, we’re turning this focus to the world’s business information as well.

Financial services are replete with written documents and time series data. Reviewing documents is tedious and error prone, yet is a necessary task in regulation compliance, customer service, call centers and many business processes. We see these tasks as a perfect use case for AI, reducing tedium, improving accuracy, and improving the user experience at a lower cost.

We’d also like to make predictions and find anomalies in time series data. This mitigates financial crime, improves compliance, and reduces risk.

Digital Transformation: The Capital Markets Innovation Landscape 2019

Digital Transformation: The Capital Markets Innovation Landscape 2019

This report examines the means by which capital markets participants seek to capture and implement innovation in financial technology, both by harnessing internal innovation and in engagement with external fintech providers. By evaluating the efforts of 30 Tier I and Tier II global investment banks, 25 exchange operator groups and 17 of the world’s largest asset managers, the report:

  • builds on and refreshes the analysis of investment bank efforts previously undertaken;
  • expands the scope of capital market participants analysed;
  • assesses the geographic qualities of the global fintech innovation landscape; and
  • provides focused analysis of exchange operator innovation efforts.

https://greyspark.com/report/digital-transformation-the-capital-markets-innovation-landscape-2019/

Seema Hingorani Joins Morgan Stanley

Seema Hingorani, Girls Who Invest
Seema Hingorani

Seema Hingorani, entrepreneur and former CIO and the New York City pension plan, has joined Morgan Stanley Investment Management as Managing Director, Bloomberg reported.

Hingorani will help oversee relationships with the investment manager’s largest clients and create a new training program to develop talent, Bloomberg reported, citing a Morgan Stanley memo.

In 2015, Hingorani founded Girls Who Invest as a way to get more women involved in portfolio management and leadership at asset management firms. As Hingorani told Markets Media, the remit was to build a pipeline of talented, vetted women who are excited about going into asset management, across all asset classes including allocators of capital.

Nearly 700 U.S. university students have participated in Girls Who Invest’s on-campus summer intensive program and online intensive program since 2016, according to the organization’s website.

Hingorani is on the Advisory Board of Markets Media’s Women in Finance Awards program and is a previous award winner.

CFTC Kicks Can on SDR-Reporting Reform

The US Commodity Futures Trading Commission hopes good things come in threes as it has offered a second 90-day comment-period extension for proposed changes to Certain Swaps Data Repository and Data Reporting Requirements.

The proposed amendments would alter the policies and procedures established by the SDRs to confirm the accuracy of swap data with both counterparties to a swap as well as amend parts 23, 43, 45, and 49, to provide enhanced and streamlined oversight over SDRs and data reporting generally.

First published in the Federal Register on May 19, 2019, the initial comment period was to end on July 29, before the Commission granted an extension to October 29 and finally to January 27, 2020.

Since opening the proposed rule change for comments, the Commission has received only nine comment letters and held three ex parte meetings, which included representatives of the CME Group, the Depository Trust & Clearing Corp., Global Financial Markets Association, the Intercontinental Exchange, the LCH, and the Securities Industry and Financial Markets Association.

Initial industry feedback has been consistent among industry bodies and individual firms.

Walt Lukken, FIA

“The Futures Industry Association believes that the Commission should not consider imposing further verification requirements until it has finalized and implemented amendments to streamline data fields and leverage existing SDR validation processes,” wrote Walt Lukken, president and CEO of FIA.

Lukken also recommended that the Commission should take a principles-based approach if additional verification of swaps data is required as well as drop the proposed obligation to notify the Director of DMO if a reporting party cannot remediate an issue with a specific period.

The Coalition of Physical Energy Companies was also against imposing new obligations on non-reporting parties and wanted to limit the new burdens on those parties that report infrequently.

The industry body was wary of the proposed rule in which the SDRs would send “open swaps” reports to a non-registrant reporting party who is then obligated to verify the accuracy of the data within 96 hours.

COPE members are typically are non-reporting parties that do have significant staff resources to validate the data, wrote David Perlman, a partner at Bracewell, and counsel to COPE.

Instead, COPE suggested that “a reporting party that reports an average of 50 or less swaps per month not be required to engage in the verification of open swaps.”

Prudential Global Hedge Management also sought relief from the proposed rule change for those firms involved in inter-affiliate trades.

“From a policy perspective, inter-affiliate trades are not as critical to the goals of the swap data reporting rule for providing pricing and information transparency to the broader marketplace,” wrote Michael Long, president at Prudential Global Hedge Management. “The benefits of verifying inter-affiliate trades are outweighed by the burden to the end-user reporting counterparty.”

If the Commission felt the necessity of validating data regarding such trades, Long suggested that data validation happen semi-annually instead of monthly, and the Commission lengthen the response period to two business weeks rather than the proposed 96 hours.

Meanwhile, global financial advisory and technology provider Chatham Financial “believes that there are less burdensome ways for the Commission to improve the accuracy of swap data reporting while lowering the burden for all reporting counterparties, including non-swap dealers and end-users,” wrote Laura Grant, COO of Chatham Financial.

The firm recommended that much of the data validation takes place at the SDRs when the trades are first reported, such as making sure that the fields for parts 43 and 45 are populated correctly.

Chatham tested a few SDRs in June and found that some SDRs would accept reports where many of the fields mandated by Part 45 were left empty and did not receive a rejection notice.

“This means that swaps can be reported to and accepted by some SDRs without including a significant portion of Part 45 required data points,” wrote Grant.

Chatham further suggested that SDRs validate data regarding its type to prevent parties from entering text into a numeric field or only permitting the use of allowable values and rejecting the report if other values were in the field.

“If the Commission chooses to finalize the verification process outlined in proposed §49.11, the verification should be limited to open swaps reports as currently proposed,” she added. “The Commission should not expand the scope of the verification process to include all swap data messages.”

UBS Pilots Machine Learning in the Back Office

3d rendering of human brain on technology background represent artificial intelligence and cyber space concept

Artificial intelligence is finding a new home throughout UBS far beyond just developing quantitative trading strategies.

“Its applicability depends on the desired use, end objective, and problem it is trying to address,” Beatriz Martín Jiménez, investment bank COO and UK CEO at UBS, told Markets Media. “At UBS, we extensively use AI across the entire operating cycle.”

Advances in technologies, such as machine learning, have made it possible for the bank to reimagine services and process delivery in a holistic fashion, she added. “In the past, we may have focused on solving distinct problems for an immediate fix. While looking at the broader and more permanent solutions may be harder, it will set us up for long-term success.”

UBS has been working on proofs-of-concept and pilots within operations to process unstructured data.

Over the approximate past year, the bank has worked with an unnamed vendor to develop the pilot’s code that will help the firm classify roughly one million emails that the operations department receives daily across an estimated 5,000 mailboxes.

The pilot’s goal is to identify the emails that likely will require an escalated response from the operations team, such as potential trade breaks before they happen, based on the phrasing and vocabulary used by an email’s author.

Although UBS is working with an outside vendor, it is UBS employees who identify the patterns and decide how to proceed.

The bank is happy with the pilot’s performance and expects that the pilot’s small team likely will complete the project over the next few months, she added.

One reason her team decided to implement this proof-of-concept and pilot due to the Securities Financing Transactions Regulation’s upcoming deadline, which provided the team with a hard deadline.

The pilot also provided the bank with experience with reading, classifying, and prioritizing unstructured data that it can apply to other functions within its middle- and back office, such as the legal department.

A scenario might have machine learning compare a term sheet with a client’s latest email or call and give the bank the ability to check those terms against the parameters in the bank’s risk system, which then the legal department can conduct any necessary triage, according to Martín Jiménez.

Implementing such new processes into eventual production is not an attempt to lower headcount, but to redirect employee’s efforts towards more valuable tasks and to reduce their manual and repetitive tasks, she added. “It is about achieving more and better with the same workforce, engaging our staff on where their skill and expertise is far more impactful.”

Deutsche Börse Hunts for M&A Deal

Deutsche Börse is looking for mergers to grow in certain asset classes, particularly since the German exchange operator failed to acquire FXAll, the foreign exchange trading venue.

Theodor Weimer, Deutsche Börse

Theodor Weimer, chief executive of Deutsche Börse, said in the exchange’s third quarter results call today that its M&A strategy was unchanged as it wants to increase scale in certain asset classes.

“We constantly screen M&A opportunities and we are not getting tired of it,” added Weimer. “We will stick to the areas we have communicated with data as a high priority and also foreign exchange, although there are limited targets.”

The firm is also looking for potential deals in commodities, post-trade and fixed income. “We will stick to our financial discipline and will not do a transaction at any price,” he said.

The German exchange had been in discussions with Refinitiv about potentially purchasing FXAll before the London Stock Exchange Group acquired the data provider.

In contrast, Deutsche Börse last month completed the acquisition of Axioma, which provides software for enterprise risk management, portfolio construction, and regulatory reporting. Following the completion, Deutsche Börse combined Axioma with its index and analytics businesses to form a new company, Qontigo.

Weimer said: “Qontigo has increased access to the buy side for the whole group and allows us to grow inorganically in analytics.”

He continued that Qontigo enables the group to address current trends in asset management including the growth of passive investing and smart beta; the need for technology infrastructure to achieve efficiency and scale; and the transition towards customization of investment solutions.

Weimer added that the London Stock Exchange Group’s acquisition of Refinitiv changes the chessboard for all the players in the exchange sector.

“LSEG will be busy with Refintiv for next couple of years and the CME is busy with NEX,” he added. “Competition in M&A will continue to be fierce and although we were not able to get FXAll done, there are other targets we can go after.”

However he does not expect large exchange groups to be acquired. “They are increasingly perceived as part of the national domestic DNA,” he added.

Gregor Pottmeyer, chief financial officer at Deutsche Börse, said on the call that the priority for using excess cash will be M&A, and if that is not possible, the group will consider share buybacks.

Results

Deutsche Börse generated net revenue of €2.2bn ($2.4bn) in the first nine months of 2019, a 7% increase from the same period last year. Pottmeyer said the group is confident of meeting its full-year targets and confirmed guidance of around 10% net profit growth for 2019.

He continued that the main drivers of growth were Eurex, the financial derivatives business, and EEX, the commodities segment.

“In addition to over-the-counter clearing, secular growth of net revenue in the Eurex segment was mainly a result of new products and pricing models, whilst in the EEX segment, the positive development of the secular net revenue growth reflected significant market share gains in Europe and the US,” Pottmeyer added.

Pottmeyer also highlighted 360T, Deutsche Börse’s foreign exchange business, which had its best ever month in September.

Electronic Bookbuilding To Launch In Chinese Bond Market

End-to-end electronic bookbuilding for bond syndication in mainland China is being launched next year by a joint venture between data provider IHS Markit and Hundsun Technologies.

The joint venture will allow syndicate banks to collaborate in real-time to publish new deals to the market, communicate terms and share other critical deal information in a standardized format that makes workflows more efficient. China is the world’s second largest bond market with an estimated 21.72 trillion yuan (more than $3 trillion) of bonds issued in the first half of this year according to IHS Markit.

Allen Williams, managing director for global capital markets at IHS Markit, told Markets Media: “For example, the platform pulls information together from across the banks for reconciliation. A process that used to take between four and five hours can now be done in 30 minutes or less.”

IHS Markit acquired bookbuilding capabilities through its acquisition of Ipreo which completed in August year.

IssueBook allows a syndicate to set up and manage multiple live transactions and can handle multi-tranche deals across multiple currencies and asset classes. The product connects with the firm’s other new issuance products, including IssueNet, which allows multiple banks to reconcile their order books and Investor Access, which enables investors to view deal terms and participate directly in deals.

Williams added that the first phase of the joint venture is due to be launched in the third quarter of next year and will focus on the domestic market.

“Chinese banks will have to be comfortable moving to an automated platform,” he said.

Hundsun’s customers include Chinese banks as well as securities and futures companies, funds, trusts, insurers, exchanges and private equities.

In later phases the joint venture will include cross-border deals as the IHS Markit electronic bookbuilding products are used globally. For example, IssueNet has been used in Asia since 2013 and more 50 Asian banks use the service.

Peng Zhenggang, chairman of Hundsun, said in a statement: “China is accelerating the pace of opening its market. Through the introduction of IHS Markit’s international experience and advanced platforms, we are excited to develop a best-in-class electronic bookbuilding solution for the domestic market.”

The Chinese bond market became more attractive to overseas investors after it was added to the Bloomberg Barclays Global Aggregate Index  in April, with its full weighting to be phased in over 20 months.

Investor Access

Herb Werth, managing director at IHS Markit, said in a blog in July that 42 banks and more than 300 investors have joined Investor Access since the platform launched just over two years.

“They are using the platform to analyse deals and place orders on over 90% of investment grade corporate bond issues in the euro and sterling markets,” he wrote.

He continued that Investor Access has to integrate with the technologies that each bank and investor uses.

“When you send a text message to a friend, are you concerned with the brand of phone they have, or the mobile network they are on? No” added Werth. “The idea that multiple services could communicate in a secure and standardised way is truly exciting.”

IHS Markit varies the core platform according to the client’s  workflow needs.

Werth said: “As a result, two things have happened: more participants are able to join this new platform in a way that is sympathetic to their existing workflows and technologies, and traditional methods can co-exist with the improved workflows, minimising disruption in the capital raising process.”

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