FIXGlobal speaks with the buy-side in China about the prospects for China’s equity market, IPOs and how new technology and competition will improve domestic trading.
GDP and Trading Volumes The property market might continue to cool down in 2012, but it is not reasonable to expect the Chinese economy to shrink significantly this year because the Chinese government will allocate resources to other sectors of the economy. Because of the Lunar New Year effect, it looks as though Chinese Consumer Price Index (CPI) is heading upwards. Based on adjusted CPI, the property asset bubble is a political issue rather than an economic one. The Chinese government has pledged to continue monitoring property prices, and its strong fiscal position gives them various options in terms of how they address this situation. Trading volumes are expected to be much the same as 2011 and inflation should be heading downwards.
Major Driver: IPOs or Economics? There has been a rapid increase in the number of IPOs in China, but the regulators are questioning the quality of some of the IPO companies. Of those companies newly listed in 2011, valuation declined quite significantly. Investors used to think an IPO was like a lottery – buying new shares virtually guaranteed a profit. Many investors did not consider the actual valuation and quality of the company, and many are now realizing that not all investments are worth their list price.
The Chinese equity markets are in a transition stage; they are moving from being somewhat amateur to being much more economic and investor-driven. There were instances of listed companies in one industry that changed industries after the IPO (often moving into property development) and occasionally changing the name of the company, leaving investors uncertain about their strategy and focus.
Listed companies used to have considerable power, but the market is changing in a positive direction. However, we do not know how quickly the market will become transparent and trustworthy. The regulators, media and institutional investors are now more serious about issues of valuation, transparency, corporate governance, etc. The regulators should consider increasing Qualified Foreign Institutional Investor (QFII) and ways of improving the dissemination of information to investors in order to set a good example in the domestic market.
A primary focus of the Chinese Securities Regulatory Commission (CSRC) this year is insider trading. Addressing this matter will improve the quality of listed companies and give investors greater protection. The regulators are working on improving access to information for investors and institutional funds will benefit significantly from this transparency. Regulators are concerned with addressing both the difficulty of access to information and the quality of information about IPOs, and it is quite likely that they will be able to improve both aspects.
Applying New Technology The biggest technology upgrade implemented in the past six months has been algorithmic trading. Most Chinese buyside use their brokers’ algos, but in China, domestic mutual funds are not allowed to route orders to brokers. So what many dealing desks have done is to install the brokers’ algo engine on their side, so for every algo they choose, they go through their server and send the order to the exchange. In this way, dealers achieve efficiency in their algo usage because they do not use any brokerage; as a dealer, they are almost like their own broker. Algo trading also provides the buy-side with more precise post-trade analysis; specifically, the ability to analyze how much alpha has been captured and the transaction costs involved.
The primary benchmark used by most Chinese buy-side traders is Implementation Shortfall (IS), which is used to generate information to help the fund manager improve their investment strategies. For example, it might provide data about the delay cost created by an investment decision made an hour after the market opens, showing the fund manager that if the decision had been made earlier they could have saved a certain amount on the investment.
Feargal O’Sullivan and Jamie Hill of NYSE Technologies discuss OpenMAMA, the open source middleware Agnostic Messaging API they hope will expedite innovation in services, reduce vendor lock-in and minimize implementation time and cost.
Solving a Problem Choosing a market data vendor because of their API alone is not sound practice. The issue of how to come up with a standard way of accessing market data that allows clients to select a vendor for any range of reasons – other than the API that the vendor happens to offer – has been a struggle for a long time. Something that should be low on any decision-making tree has unfortunately tended to be much more important. There are a number of different consolidated market vendors, including some obvious names like Thomson Reuters or Bloomberg and there is also a range of direct feeds or ticker plant vendors, where instead of going to a consolidator, feeds are accessed directly from an individual exchange.
In selecting a vendor, users must write all their code to suit that vendor’s particular way of accessing the data. Changing to a different vendor requires opening up the source code and altering everything to match how this other vendor wants to access the market data. With a consolidated feed for broad international access and a direct feed for low latency algo trading in US equities, for example, many users have to write according to two to four different APIs. This has been a significant problem for the industry and with OpenMAMA we are trying to drive the industry towards a standard.
User Base This API is an eight-year-old standard that was initially developed by NYSE Technologies as the Middleware Agnostic Messaging API (MAMA), and it is quite heavily deployed in the financial services industry; close to 200 clients already use this API in their custom applications, so today it has an established installed base. We have opened that up and made it a standard by taking the source code for the APIs these firms are using today and provided it to The Linux Foundation, which will physically host the code as a neutral body.
During this process we worked with multiple parties that would not ordinarily use our API. Since the launch of OpenMAMA on 31 October 2011, one of the key factors to this being taken seriously as an open installation, was getting the right level of adoption. Before we launched, we approached a number of customers, other vendors and competitors, out of whom we established our launch partners J.P. Morgan, Bank of America Merrill Lynch, Exegy, Fixnetix and EMC. These launch partners, along with NYSE Technologies, formed a steering committee to drive the direction and the future of OpenMAMA.
From that point forth, each of those organizations who are part of that committee has a stake in Open MAMA. The API is open source under the LGPL 2.1 licence, so it is now owned by the open source community. With participation from Interactive Data, Dealing Object Technologies and TS-Associates as well, we now have a group ten strong and it is a global mix comprising different industries. Whereas before the API was driven largely by NYSE Technologies and our commercial use cases, now it is being driven forward as an industry standard. The more people we have to adopt and participate, the higher the likelihood of achieving that.
Guosen Securities’ Shen Tao reveals the latest trends in algo usage by Chinese asset managers, domestic mutual funds and Qualified Foreign Institutional Investors (QFIIs).
Who are the primary customers for algorithmic products in China? Algorithmic trading started in the Chinese A share market some time in 2007. In 2005, the first commercial FIX engine went live to accommodate the execution needs of the Chinese A share market of Qualified Foreign Institutional Investors, or QFIIs, as part of the plan by the Chinese government to allow regulated capital market investment by foreign investors. After an initial experimental phase of FIX connectivity with global trading networks, the local FIX trading platform became solid enough to interface with a real algo engine. In 2007, some leading global investment banks (predominantly, QFIIs from the sell-side) began to offer algorithmic trading facilities for their clients and their own proprietary trading desks. Most of these facilities were located offshore (e.g. Hong Kong) and connected to the Chinese brokers’ FIX gateway via a financial trading network such as Bloomberg.
The earliest providers and users of algo trading in the Chinese market were solely QFIIs and their clients. In 2008, although the global market was in turmoil and many infrastructure budgets were cut across the international financial community, there were still some firms seeking expansion opportunities for the future. Among them, some global banks with local brokerage joint venture subsidiaries began to build their onshore algo facilities. At about the same time, some leading purely local brokers also started their efforts in algo development, Guosen among them. We started in March 2008 and also targeted QFII investors for algorithmic trading, however, we understood the future of algorithmic trading in the Chinese market would rest on the domestic mutual fund industry. In late 2009, the Guosen algo platform was almost ready and the aforementioned onshore algo facilities run by the sell-side joint ventures of global banks also went live. The day of the algo had finally arrived for China.
In 2010, with support from a leading buy-side OMS vendor Hundsun; Guosen and UBS began their efforts by offering an algo solution for local mutual fund companies. In November 2010, UBS won its first success with two Beijing-based mutual fund companies, with Guosen securing a third six months later. Since that time, more than a dozen mutual fund companies have started using algorithms from UBS and Guosen. 2010 was the first year of the algo, from a local perspective. Currently, the momentum of mutual fund companies adopting algo platforms continues. We estimate that by the end of 2011, in terms of assets under management, over 40% of the local mutual fund industry could be covered by broker-provided algo services.
In retrospect, QFII investors were the founders of the market, but soon, the local mutual fund industry will become the primary user of algos. In addition, we foresee insurance companies adopting algo trading soon.
Brown Brothers Harriman’s Garvin Young explains the decision to adopt a Software as a Service (SaaS) trading system in lieu of traditional on-site architecture.
In its capacity as a global custodian, Brown Brothers Harriman (BBH) takes a holistic view of its trade execution process. This view includes front-end connectivity and execution, all the way through to settlement. The firm continually assesses the current and future needs of its clients to ensure that its products and solutions fully meet their requirements.
Searching for a Cutting- Edge Solution
In late 2010, given the rapidly changing landscape of the brokerage industry related to connectivity, regulation, algorithms and back-office efficiencies, we initiated a RFP process to identify an order management system that could best position its clients for the future.
Specific details of the project included a buy versus build analysis, cost/resource considerations, client retention rates, etc. Given the timeframe that we had set for implementation, it became clear that a build-from-scratch solution would have been both costly and impractical. Such a solution would have required BBH to add staff, incur IT spend, expand occupancy space, and bear significant ongoing maintenance costs.
Through the RFP process, we looked for a provider with a reputation for stability. In an environment of microsecond execution, an OMS must be reliable, stable and flexible. The ability to customize the solution was also important. The solution had to include a robust front-end while also keeping with BBH’s requirements of high-quality middle- and back-office processing. Our integrated execution and settlement product required a solution provider with strong expertise around maintaining high straight-through processing levels and real-time client reporting.
As a privately held organization, BBH maintains a high focus on risk management, which meant that a strong track record of regulatory reporting and risk management tools was also critical. The firm’s global and sophisticated client base has complex connectivity requirements, such as Reuters, Bloomberg, ULLINK, SWIFT and virtual private networks (VPNs), to name a few. Further, its clients have specific FIX tag requirements and run multiple versions of the FIX Protocol. We required a solution that was able to meet all these demands.
Identifying the Right Provider
BBH narrowed the search to six top providers of equity execution platforms and went on to select Fidessa. BBH’s Investor Services clients recognize us as a leader in technology solutions, with the capability of offering them a sustainable, long-term and flexible solution that allows them to access new markets to grow their business. We determined that their platform aligned well with these needs, and offered an ideal complement to its existing proprietary solutions.
Andres Araya Falcone of the Santiago Stock Exchange explains how FIX is increasing the range of services available to traders in Chile and throughout Latin America.
How is FIX facilitating DMA into the Santiago Stock Exchange?
The first concept of DMA in Chile began with what we call “direct traders” (buy-side traders) facilitating these specially authorized institutional clients, to send direct orders to the market via a “broker sponsor”. Thus, pension and mutual funds, insurance companies and other institutions, using trading terminals provided by the Stock Exchange, can trade directly in our market. The next natural step was the incorporation of electronic networks to attract order flow from the U.S., Europe and neighboring countries in Latin America, especially Brazil.
In 2006, we built the first FIX interface using version 4.0 to connect to the Marcopolo Network, to attract the order flow of our local equities market. After that, the Santiago Stock Exchange launched its initiative to modernize the equities electronic trading system and developed Telepregón HT, jointly with IBM, which went live in June 2010. This system is ready for algorithmic trading flow since it supports a throughput of over 3,000+ orders per second with sub-millisecond latency. In designing the system, we decided to use FIX 4.4 to enable easier connection via DMA with other exchanges, sell- and buy-side firms and market information vendors. This has greatly facilitated the connection to different networks, such as Bloomberg, Fidessa and SunGard, among others. For all these initiatives, FIX has been crucial in facilitating the integration with these listed networks. During 2011 we will announce new network agreements.
Currently, referring to the equity market, 11% of order flow comes from DMA which represents an average of a 27% increase over the last 6 months, today 19% on average comes from Internet retail order flow, and the rest comes from traditional OMS and Trade Work Stations.
As foreign investment into Chile and the Chilean market continues, how will the Santiago Stock Exchange upgrade its platforms to meet increased investor and trader demands?
In 2010, the Selective Share Price Index (IPSA), the country’s main stock market indicator, gained 37.6% in Chilean pesos (equivalent to some 46% in dollars). Share trading on the Santiago Stock Exchange rose to US$60 billion in 2010, up 30.5% from 2009, setting a new annual record. Trading was particularly strong in the second half of the year, which accounted for almost 60% of the annual total, reflecting strong demand from both local and international investors.
At the same time, by the end of 2010, the Santiago Stock Exchange had signed a linkage agreement with Brazil’s stock exchange, BM&FBOVESPA, heralding the latest in a series of cooperativeprojects being run between Latin American bourses. The agreement, signed on December 13th, will enable connectivity between both exchanges for order routing and market data dissemination. It also includes separate initiatives for further development of the Santiago Stock Exchange’s derivatives market, the establishment of joint initiatives related to settlement, clearing and central counterparty services, as well as access to the BM&FBOVESPA /CME trading platform from Chile.
Market participants in both countries will be able to route orders for stocks, stock options and related derivatives listed on the other’s exchange. Both exchanges will also be able to receive and distribute each other’s market data. Clearing and settlement of orders will be done according to local market rules of listed instruments. These kinds of initiatives imply that the Santiago Stock Exchange’s IT platform has to be prepared to manage more than 6 million orders per day.
What plans does the Santiago Stock Exchange have to accommodate High Frequency Trading and algorithmic order flow?
We are working as an integrator of a state of the art product for algorithmic trading. In conjunction with Streambase, FIXFlyer and IBM WFO, we are creating a product we will call “Broker in a Box”. The idea is to provide a framework for capital markets, including a set of algorithmic order execution strategies designed to achieve best execution, access liquidity, minimize slippage and maximize profits for trading operations. These algorithmic trading strategies (like VWAP, TWAP, Arrival Price / Implementation Shortfall, etc.), are provided as fully customizable EventFlow modules which can be used in conjunction with the frameworks. Trading firms will be able to modify each algorithm to reflect their own “secret sauce” and to differentiate their trading strategies in the market. The Santiago Stock Exchange will provide an “all in one” solution: integrated markets, market data (from Integrated Latin America Market (MILA), NYSE and NASDAQ), co-location, monitoring, local support, etc.
In this article, Nomura’s Ben Springett provides a brief overview of some of the key issues currently impacting European market structure, and shares his own thoughts on some of the changes likely to occur in Europe this year.
European market structure, has been, is, and will continue to be, in a state of change for the foreseeable future. Whilst European Commission regulation has been a significant catalyst in this, the industry itself is now looking to progress issues at a faster rate than the expected regulatory change. As such we are seeing increased interest in “self” regulation within the community, particularly in the areas of post trade reporting and efforts to provide a consolidated tape. All market participants are active in this, but it is not unreasonable to assume that it will be down to the broker-dealers to drive any change, as they typically are the ones that have the resources to invest in the process.
Market share amongst trading venues can be measured in many different ways and people can be forgiven from choosing one that paints their own venue in the best light. The accompanying two charts (Charts 1 and 2) show the steady decline of market share amongst the key primary exchanges, to the benefit of the MTF venues, although the total volume levels remain significantly lower than the pre-credit crunch days. When considering primary exchange volumes versus MTFs it is necessary to bear in mind that the primaries are only just starting to compete in each other’s markets, and as such the pan- European MTFs have had more blue chip names with which to capture their market share. This is set to change in 2010; Euronext launched ARCA last year, Xetra have launched their International Market (XIM) and the London Stock Exchange (LSE) have just completed the acquisition of a majority (51%) stake in Turquoise.
MiFID did not mandate a market- wide consolidated tape, as opposed to the NBBO ( National Best Bid and Offer) provided under Reg NMS, and the lack thereof is one of the key concerns raised by the buy-side in a range of forums. There is however, no significant issue with data aggregation offered by a number of key providers such as Bloomberg and Reuters; in addition to some strong fragmentation analysis products available to the market (Fidessa Fragulator, BATS Europe).
In a period of time where cost base is under increasing pressure, attention has now been drawn to the inherent impenetrable conditions that exist in market data (the LSE has sole distribution rights on LSE data, Deutsche Boerse on Deutsche Boerse data etc.), and as the number of venues from which the data is required for increases, so will the interest placed on the associated charges. In an environment with considerable focus on competition, competitive forces cannot work to reduce the fees, leaving regulation as the only option, which was again addressed under Reg NMS in the US.