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Risksvr™
can produce
huge amounts of data so it is important to understand how data is produced.
Risksvr(tm) can
slice and dice data according to the tag(s)
you have associated to the trade. You can also ask the engine to generate
automatically the dimensions according to specific criterias, such as the
Internal Trade Identifier (guaranteed unique), the asset product type, the risk
factor, the country, counterparty or account number, etc.
Each tag associated with a trade, account or portfolio is a self contained
dimension.
The hierachy in which you define these tags creates futher dimensions or
hierarchies.
For example, if you want to view the risk of your trades by manager,
investment strategy and product you might associate the following
tag to each trade:
/manager/strategy/product
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| Each dimension hierchy is separater
by a / |
When
you run Risksvr, the tag dimenison will actually produce multiple results: You
will get results by manager. You
will get results by manager/strategy
You will get results by strategy.
You will get results by manager/strategies and products.
You will get results by
products etc.. And
this for each and every step and drill down report specified!
So the number of results increases expenentially with the number of tags in the
hierachy
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For each drill down dimension you
can run:
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Market,
Standalone Credit, Market and Credit, Credit analysis
with full netting or Credit with NO netting.
The Credit and Market and Credit will net results according to the netting rules
defined for each account.
The Credit Full Netting will net all accounts, thus overriding any setting in
the account setup. The No netting will ignore the account settings and assume
netting is not legally binding.
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You can also requests advanced statistics for each type of results obtained by
selecting moments of distribution. The moments of distribution will provide the
four (4) first moments of the dimension's distribution (mean, volatility,
skewness, and kurtosis)
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Credit Exosures
You can activate Exposure calculations by selecting
Account Potential Distribution.
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Losses
You can compute losses and the required buffer capital
to cover your losses by selecting Losses.
For obvious computational reasons, Losses are only available when performing
Monte-Carlo Simulation.
Receivable and Payables by Rating Rank
To get Receivable and Payable sorted by Rating Category
select
Rank Order Assets and Liabilities.
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Intermediate Data
During Monte-Carlo Simulations Intermediate Results can be produced for each
and every simulartion that the engine will perform. To activate this
feature select
detail simulations.
Beware ! Detail simulations
This will
1)
increase the amount of data produced.
2)
Take much more time to generate the report.
Outputting data is the biggest bottleneck when performing computations!
Once
you have selected your reports
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