var case study_quartetfs
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8/8/2019 VaR Case Study_QuartetFS
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Quartet’s ActivePivot for Value at Risk “Quartet’s ActivePivot solution for VaR resolves many key issues we had as it allowed us to
properly handle, with large volumes, the non-linear nature of the VaR calculation while
providing us a exible and diverse portfolio view, with drill down, of our market risk data.”
Head of Market Risk IT, Large European Bank
Current SituationOur client, a large European bank, has implemented a state-of-the-art Monte Carlo
simulation application for Value at Risk (VaR). Their portfolio includes plain vanilla productsas well as options, credit derivatives, and hybrid structures. All calculations are deployed on
their grid computing architecture in order to complete the process during their overnight
batch schedule. All reports are prepared during this overnight process after the grid has
updated a database with its results.
Problems FacedRisk managers need to easily analyze the results, preferably within Excel, and to drill down
into the risk from a business area level into individual desks or strategies. Since their current
solution was based on reports produced during the nightly end-of-day process, it did
not allow for real-time, interactive “slicing & dicing” of the data. Solving this requirement
is complex because VaR measures are non-additive in nature and traditional business
intelligence solutions all assume that measures can be aggregated.
Another problem the Bank faced was that once the simulation is completed by their
grid, the results are stored in a data warehouse. Producing the VaR reports requires a
large allocation of time in the batch schedule because the data store is massive therefore
creating a bottleneck, resulting in time consuming reporting.
Finally, risk managers need the ability to simulate “what-if” changes to their portfolios such
as the addition of new trades or the removal of some sections (for example, a counterparty
default), capabilities not currently possible in real-time.
FSUARTET
ActivePivotTM
CUSTOMER CASE STUDY
LISTED
OTC
Total
Product Desk A Desk B Total
-12%
-15%
-23%
-8%
-10% -12%
-7%
-28%
Desk
25
20
15
10
5
0
- 2 5 %
- 1 5 % - 5
% 5 % 1 5 %
2 5 %
3 5 %
4 5 %
Vector Drill In-30%
5th Loss VaR
Vector Aggregation: Enabling
Interactive “Slice & Dice” of VaR
ActivePivot is able to aggregate the actual
vectors of risk and produce, on the y, the
VaR measures (closed form or statistic)
needed – all within a split second.
1) ActivePivot is object-oriented and
can aggregate objects as well as
simple numbers whereas standard
OLAP solutions are built on databases
and therefore can aggregateonly simple numbers.
2) ActivePivot is able to compute,
interactively, additional measures
based on the data aggregated in thecube. For example, based on a vector
of risk, ActivePivot can easily compute
its variances, or its nth loss. So using
the aggregated vectors of risk,
ActivePivot can display VaR statistics
for any level of aggregation inthe cube.
Risk managers can now not only look at
statistical measures such as nth loss, mean,
variance, etc., but they can also display
a graphical representation of the P&Ldistribution - all accomplished within
Excel, a format familiar to users.
Screenshot of
ActivePivot’sVaR results with
details of P&L
distribution
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FSUARTET
Incremental Update: Solution for Removing the Database
Bottleneck
“With their object oriented approach, we were able to immediately cost justify this innovative
solution as not only was our end-of-day reporting period shortened, but less hardware and database support was required as well.” Head of Market Risk IT, Large European Bank
ActivePivot is designed to work incrementally. The in-memory “cube” is updated each time
a new object is inserted. The Bank’s grid is able to produce the risk vectors continuously
and, as they are produced, ActivePivot then detects these changes and updates its
cube. This process works in parallel with the grid calculation, so when the last vectoris computed, the cube is immediately ready for analysis by risk managers. The new
architecture results in a decrease in expenses at two levels:
1) Eliminates the need for an expensive database server, and
2) Decreases the time allocated for reporting in the nightly batch, allowing the Bank
to grow its trading volume without needing to increase the size of the grid farm.
Other OLAP tools try to address these issues by adding an additional layer on top of the
data warehouse which results in nothing more than additional processing time.
The Bank used ActivePivot in such a way as to maintain their proprietary Monte Carlo
calculation - an imperative from the start. With ActivePivot, all the simulations performed
by the calculation engine are fed into its server however it is the manner in whichActivePivot aggregates and then stores this data that makes this solution truly unique.
How this data is now provided - through paper reports, web browsers, or even Excel - is
irrelevant as it can be delivered in any format. Both with Excel and web browsers, users
now have the added ability to drill down into each VaR number by changing search criteria
on-the-y. The previous solution was very efcient at producing data, but ActivePivot
now allows users to transform their at information into intelligent, actionableinformation and enables users to understand and manage their risk more effectively.
Aggregation
Time
Time Saved
Time Lost
Data
Warehouse
Static
Reports
Interactive
Reports
Drill Down
into Risk
Continuous Vector AggregationNEW
TimeOLD
London43 Eagle streetLondon WC1R 4AT, UK Tel: +44 20 7632 6910Fax: +44 20 7831 7700
New York 11 Skyline DriveHawthorne, NY 10532 USA Tel: +1 646 688 4442Fax: +1 646 688 4451
Paris130 rue de Rivoli75001 Paris, France Tel: +33 1 40 13 91 00
Email: info@quartetfs.comWeb: www.quartetfs.com
About Quartet FSQuartet FS was founded in responseto a demand by industries withcomplex business models and timely
decision-making requirements. Todate this has seen Quartet FS work largely with the nancial sectorbut our technology crosses manydisciplines including risk management,e-commerce, transportation,telecommunication, logistics, andof course nancial markets, all of which demand accurate and currentinformation to perform real-timeanalysis and render timely decisions.
ActivePivot, our real-time, eventdriven, object oriented business
intelligence (BI) component can beeasily and quickly integrated intoexisting architecture to provide proven,exible, true real-time answers that areadaptable to meet different businessrequirements.
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