FOCUS : Challenges of Delivering Real-Time FX Risk & Performance
Analysis

Rick Schumacher
The suitability of the FX market to take advantage of the newer
technologies offered by Java, HTML and other lite infrastructure is
well known. The proliferation of the online trading platforms
continues to grow as do the number of participants and the trade
volumes. Rick Schumacher, director of new product development at
Wall Street Systems examines the challenges faced by the market
today and sets out some possible solutions for a robust
infrastructure.
In order to describe the challenges, it is necessary to examine the
pressures and requirements being placed on the FX market
participants today. As ever, the market is used by those who are
not only trading but also hedging their exposures created from
other financial products including interest rate derivatives and
fixed income securities among others. As we have seen already this
year, there have been figures published stating that almost 40% of
the FX transactions are being created by the Hedge and Fund
Management community. The market is now a non-stop market that is
open for business on a 24 hour a day basis. Further valuation and
pricing challenges are emerging as differing technologies and the
24-hour nature of the market force inconsistent prices.
Institutions are striving to find solutions to enable consistent
performance management.
To compound these challenges the FX market is also growing at a
very fast rate, and is already the largest 24X7 market in the world
today. Volumes continually increase, while mergers and acquisitions
also have an immediate impact on transaction volumes. Given that
this market is also subject to the common drivers that are also
effecting the financial markets vertically, one has to add into the
mix the continued drive for IT cost management and the focus that
the market has on the three pillars of risk management; market,
credit and operational.
Meeting the real-time and performance
challenge
So how are technology vendors and IT management continuing to meet
the real-time and performance challenge? The answer to this
question is to examine a few key areas. If these areas are
appropriately addressed, they will have the most impact on
improving the business. The first area to tackle is the decision
around the timeliness of data and the true requirements of
real-time. The timeliness of data is dependent upon many things:
the type of data; the type of organization; and the purpose of the
user.
For most corporate treasuries for example, the requirement for
immediate real-time risk positions is not nearly as critical as it
is for the proprietary trader in a financial institution. It is
important to understand the requirements for each type of end user,
and the trade-offs between up-to-date data and the potential cost
of delivering that data. Different delivery mechanisms are required
to support these varying client sectors. Some may desire Internet
delivery on an HTML page, others may want a downloaded applet that
provides more sophisticated functionality, and the most
sophisticated users will desire either VPN or a direct line to
ensure quick and secure connectivity. Ideally, the technology
platform should recognize the underlying requirements of each user
so that the appropriate timely information can be delivered in a
cost efficient manner, and the underlying infrastructure can be
leveraged to support all of these delivery mechanisms, without
unnecessary duplication of functionality and data across systems.
The next major challenge is that of the disparity of data and the
technologies employed to manage this flow. Institutions have a
variety of methods to execute trades, including: portals,
exchanges, single-bank web sites, voice brokers, and directly over
the phone. Each of these requires its own sets of technologies, its
own procedures, and its own trading language. The procedures become
far more complex from a risk perspective when trying to manage
global credit and market risk while trading on a plethora of
disparate unintegrated platforms.
It is then critical in this case to have a technology
infrastructure that allows you to seamlessly connect to these
various trading platforms, particularly the electronic networks.
Messaging standards, both from a language and a technology
perspective, are also critical here, to ensure that trade data is
accurately and consistently, described, regardless of the
originating trading source. The industry has been moving towards
adopting messaging standards such as FpML, TWIST, and there is now
strong demand for FIX connectivity for Foreign Exchange
(particularly amongst hedge fund managers who need to leverage
their existing FIX capabilities within other asset classes). The FX
market also has increasingly sophisticated settlement requirements
focussing on netting capability specifically provided by CLS.
The final major obstacle to overcome is the scalability question.
For the purposes of the FX market, scalability can be defined as
having three stages: transaction throughput, mathematical
complexity, and insourcing.
Technology infrastructure
Transactions are on the increase and this can present problems for
institutions if the underlying technology isnt ready to accommodate
these additional volumes while still providing sub-second
processing response to on-line users. From the complexity
standpoint, FX derivative products, particularly in the OTC
currency options area, have become increasingly multifaceted.
A book containing varying derivative products will require
sophisticated mathematical computations in order to properly value
and manage the risk of the book. It is critical for the
organization to provide a technology infrastructure that can
quickly and accurately manage these instruments. Insourcing is a
recent trend that can be defined as the creation of an expanded
range of client services, including operational insourcing,
regulatory services, and prime brokerage.
So what sort of solutions exist that meet these individual
challenges? Clearly there are several paths available both from the
vendor community as well as in-house IT resources. Examples of
in-house IT projects could be bespoke programs to run a common
pricing engine for even distribution of online prices across the
multiple portals and channels that exist.
Wall Street Systems is finding a growing demand for its
enterprise-wide trade processing and risk management engine that
can provide support for real time straight through processing. The
advantages of this style of infrastructure is that it is tried and
tested while releasing valuable in-house resources to focus on
specific areas that create the most value for the client.
Conclusion
One final point to consider is the fact that it is becoming
increasingly important to view FX risk alongside other market risks
(such as interest rate risk, duration risk, credit risk). This
becomes difficult to do in real-time if a variety of systems have
been deployed in an organization to support different asset
classes.
Typically an enterprise-wide system that can support all financial
instruments, using consistent processing rules and mathematical
treatments, can deliver risk metrics to the end user on a timely
basis.
There are a number of areas that need to be addressed by any
organization that is supporting an increasingly demanding and
sophisticated client base. In order to provide consistent, correct,
and accurate solutions in a global, high-volume transactional
market like Foreign Exchange, it is now imperative that a robust,
consistent, centralized, real time global technology infrastructure
is put in place so that these risks can be managed.
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