PAM Risk Management
World-Class Risk Model
With increasing regulations, investment professionals, regulatory authorities and investors now all require portfolio risk information. The risk model must provide forward-looking (ex-ante) risk estimates at security and portfolio level, with a variety of risk measures available for analysis.
An effective risk management system is essential to the practice of fund management. Princeton Financial Systems provides a world-class risk model covering all asset classes and markets, available in a web-based technology.
The new PAM Risk Management powered by StatPro®
provides all this capability within a single system, enabling a wide variety of portfolio risk analysis to be created
on an automated basis. Underlying PAM Risk Management is a world-class
risk model - updated daily - that provides very broad coverage of global markets, backed by an expert team of quantitative analysts.
PAM Risk Management Highlights
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Comprehensive Coverage of Global Assets, covering the following asset classes: Fixed Income, Equity, Funds, Currencies,
Commodities, Simple and Complex Derivatives, OTCs, Structured Products
- Single Integrated Framework capturing the complex relations among market risks, default risk and default correlation risk
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Daily Security Risk Profile Update, using StatPro Data Services
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Multiple Ex-Ante Risk Measures including Value-at-Risk and CVaR (Expected Shortfall), at a variety of confidence levels,
Potential Gain, Volatility, Tracking Error and Diversification Grade
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Complete UCITS III Risk Reporting Service to ensure compliance with UCITS III risk regulations in Europe
Risk Decomposition
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Portfolio risk decomposed by security or asset class to
identify all sources of risk
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Marginal risk analysis on multiple risk measures, up to
security level
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Risk decomposition and performance attribution on the
same attributes
Stress Testing, Sensitivity Analysis, Simulation,
Back Testing
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Compute the sensitivity against any risk factor, in absolute,
relative terms or against liabilities, at any aggregation level
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Stress test any portfolio against a wide range of
possible scenarios
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Simulate trades and make informed decisions based on
risk variance
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Perform Back Testing, constantly monitoring the reliability
of the Model
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Assign absolute or relative VaR limits on your portfolios or
aggregation of portfolios and be informed of any breach
Automation and Speed
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Full automation of risk analysis and reporting
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Process thousands of portfolios every day
The Use of QuantLib as a World-Class Library
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StatPro is the main contributor of QuantLib, the Open
Source Library created by the StatPro professionals in 2000.
The pricing engine of StatPro, QuantKit, is built around
QuantLib, extending the set of models and pricing functions.
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