Ermas Consulting Inc. : Exceeding Expectations

Our Approach to Integration Consulting

FINANCIAL PRODUCT STRESS TESTING & ECONOMIC CAPITAL EVALUATION

Executive Summary

An enter­prise-scale risk platform for firm-wide Financial Product Stress Testing & Economic Capital Evaluation is an integrated end-to-end solution designed to assist institutions with both regulatory and non-regulatory firm-wide risk management, allowing consolidating all business lines.  Financial Product Stress Testing supports both supervisory and individual stress testing, allowing the analysis of pre-defined stress tests and the creation of ad-hoc scenarios applied to user defined (sub-) portfolios.

Key Features:-

·    An enter­prise-scale risk platform for managing, analyzing and reporting financial risk, allowing consolidating all business lines (e.g. capital markets, corporate banking, commercial & residential mortgages, retail and private banking, project financing, etc.). It allows combining and integrating market- and credit risk analysis for the total firm-wide portfolio and at the same time drilling into transaction level results.

·    Financial Product Stress Testing combines market, credit and macro-economic stress testing, including consideration of second-round effects; it allows analyzing concentration risk to a single counterparty or groups of counterparties, and analyzing correlation risk across market and credit risk based on jointly stressing market, credit and macro-economic risk factors; provides ability to feed stressed PDs, LGDs, and EADs to Basel II Regulatory Capital engines to perform Stress Capital Analysis.

·    Is extendable to other risk categories such as liquidity risk and operational risk, and to support a wide range of risk analyses.

·    The creation of user defined sub-portfolios helps to quickly and effectively pre-sort your portfolio into tranches that may affect future performance.

·    Accommodates open integration with third party pricing functions ensuring unlimited financial product coverage and leveraging full pricing, hence shedding light on the impact of scenarios on positions with respect to both their linear and nonlinear price characteristics.

·    Highly configurable,  for instance to accommodate user-defined models such as user-defined risk factor models, stress testing models, pricing models, yield curve models, and implied volatility models; to implement proprietary economic capital models; to configure own netting rules; to make your own choice on drill-down hierarchies; to configure the various reporting templates or to add customized reports.

·    Highly scalable, the ERMAS software can be used by a wide range of Financial Institutions, from local organizations to large head offices of multinational banks.

·    Incorporates a number of project accelerators based on industry best practices for fastest delivery. These accelerators include a performance optimized data model, pre-defined scenarios, ready-to-go pricing routines based on fully integrated pricing functions, a data dictionary, a set of reporting templates, and pre-defined netting logic.

 

Stress Testing is:-

A generic term for describing the various techniques used by financial institutions to gauge their vulnerability to exceptional but plausible events. Embedding stress testing into your risk management framework is important to both complement existing risk management tools and to assess capital adequacy within the Basel II Internal Capital Adequacy Assessment Process (ICAPP):-

-    Identify possible events or future changes in economic conditions that could have unfavorable effects on a bank’s risk exposure

-   Evaluate the potential effects on the institution’s financial condition of a specific event or movement in a set of financial variables

 

Pre-defined Scenarios

Analyzing the impact of pre-defined scenarios regularly allows senior management to review stress testing results periodically, for instance as a component of the Internal Capital Adequacy Assessment Process (ICAAP), and to present stress testing results regularly to supervisory authority. Pre-defined scenarios include supervisory scenarios, historical event scenarios, hypothetical scenarios, ‘what-if’ sensitivity analysis and other standardized scenarios. Financial Product Stress Testing comes with a set of more then 100 pre-defined, but customizable scenarios.

 

Ad-hoc Stress Testing

Creating ad-hoc scenarios enables the user to model a certain situation occurring ‘as-of-today’ and to analyze the referring stress impact for the total portfolio, for user defined sub-portfolios, and at the transaction level. The user can apply shocks to individual risk factor(s) (one or multiple), individual risk factor curves (one or multiple), entire risk factor categories (one or multiple) or any combination of the previously mentioned, allowing for instance to jointly stress market, credit and macroeconomic risk factors.

Financial Product Stress Testing features second-round stress testing allowing for the user to relate changes of observable variables to changes of risk components such as PD, LGD or EAD changes through Stress Testing Models. Stress Testing Models can be linear or non-linear multi-factor regression models or other models. For example, PD or LGD shocks can be modeled dependent on shocks of macroeconomic factors such as unemployment rate, gross domestic product growth rate or house price index data among other factors.  Financial Product Stress Testing can be extended to cover additional risk factor types, for instance liquidity risk, allowing stressing liquidity drivers such as deposit retention rate, credit spreads, domestic/foreign wholesale balance run-off rate, time required to unwind positions, loan portfolio growth rate, levels of delinquent/non-performing loans, or level of loan losses. These risk factors can be included in any scenario analysis.

 

Stress Capital

Within the Basel II regulatory framework for credit risk Pillar I requirements include stress testing with regard to the risk components PD, LGD, and EAD, and Pillar II requirements include demonstration of capital adequacy based on the stress testing results (ICAAP), requiring Macroeconomic Stress Testing among other stress tests. In using the stressed parameters in the Pillar II Capital Adequacy Assessment Framework, there appear to be two options:

1.        Estimate the mark-to-model (MTM) stress losses (i.e. stress impact) and demonstrate that the stress MTM losses are less than the current capital level.

2.        Calculate the stressed economic and regulatory capital requirements using the stressed parameters and demonstrate that the stressed capital requirements are less than the current capital level.

Financial Product Stress Testing supports both Stress Impact Analysis (option 1) and Stress Capital Analysis (option 2). For Regulatory Stress Capital Analysis for credit risk the shocked risk components PD, LGD and EAD across risk segments (e.g. per asset classes, sub-asset classes and per rating segments) are available as system output, and Stress Capital Analysis is performed based on open integration with Basel II Regulatory Capital engines from third parties such as Fermat, Reveleus, SAS or in-house developed systems.  Regulatory Stress Capital results are reported back within the Financial Stress Testing portlet technology and are presented based on standardized reports. 

 

Economic Capital

Economic Capital refers to a risk-based measure of capital necessary to protect against unexpected losses over a given period of time and at a given confidence level. Typically, economic capital models have market, credit and operational risk components that are estimated, forecasted, or simulated either separately or jointly. The ERMAS software calculates Value-at-Risk either following a parametric model (Delta-Normal approach), or non parametric models (Historical Simulation, Monte Carlo Simulation). Monte Carlo simulations can be performance optimized based on variance reduction techniques. ERMAS VaR computation addresses all market risk factors (including Interest Rate Risk, Foreign Exchange Risk, Equity Risk and Vega Risk) enabling the calculation of global VaR, marginal VaR and incremental VaR. Credit-Value-at-Risk is calculated based on the CreditMetrics™ model. ERMAS software provides for a highly configurable Economic Capital modeling platform to implement proprietary economic capital models, allowing fully integrating market and credit risk evaluation with consideration of cross-correlations.  Integrated credit and market risk modeling is based on jointly modeling and simulating market- and credit risk factors allowing correlating all risk factors among each other, whereby market and credit risks may partially offset each other.

 

Portfolio Filters

The user can apply pre-defined scenarios, ad-hoc scenarios, and economic capital models to user defined (sub-) portfolios using simple or advanced portfolio filters. The choice of portfolio filter criteria is configurable, and can include counterparty, legal vehicle, obligor/customer risk rating, and financial product type. The creation of user defined sub-portfolios helps to quickly and effectively pre-sort the portfolio into tranches that may affect future performance.

 

Results and Aggregation Levels

Financial Product Stress Testing & Economic Capital Evaluation provides Economic Capital, Stress Capital, Current Mark-to-Market, Stress Mark-to-Market and Stress Impact (difference of Stress MtM and Current MtM). These results are available at various levels of detail, ranging from transaction/position level, to counterparty level including netting of results, to total portfolio level with more aggregation levels in between. In particular different drill down categories are available for different portfolio types. The choice of aggregation levels/drill down hierarchies is configurable according to user requirements.

 

Financial Product Coverage & Portfolio Evaluation

Through open integration with external functions (C, C++), Financial Product Stress Testing & Economic Capital Evaluation has no limitation in financial product coverage offering full financial instrument evaluation through pricing models. Full (re)pricing is applied for evaluation of Current Mark-to-Market, Stress Mark-to-Market, and for the simulation-based estimation of Economic Capital allowing to analyze impact of scenarios on positions both with respect to their linear and nonlinear price characteristics. Third party pricing models can include FinCad, INTEX, MONIS, TECHHAKERS, FEA, proprietary algorithms, or others.

 

Reporting Templates

Financial Product Stress Testing & Economic Capital Evaluation provides a set of web-based reporting templates being customizable and extendable. These templates include Stress Impact reports which relate to a single point in time, Stress Impact trend reports relating to a time period, Portfolio Reports and Capital Reports:

Stress Impact Reports Relating to a Single Point in Time:

1.        Stress Results at Transaction Level

2.        Single Scenario Report

3.        Multiple Scenario Report with Total Added Stress

4.        Stress results by Financial Product Type

5.        Investment Portfolio Reports: Stress results broken down by categories such Industry, Obligor Risk Rating and Legal Vehicle

6.        Loan Portfolio Reports: Stress results broken down by categories such as Region, Customer Rating Pool/Segment, Product Type and Delinquency Status

7.        Portfolio Sensitivity Summary Report

Stress Impact Trend Reports:

1.        Single Scenario Trend Report

2.        Scenario Trend Report by Industry

3.        Scenario Trend Report by Legal Vehicles

4.        Scenario Trend Report by Regions

5.        Stress-delta-reports for chosen period of time

 

Portfolio Reports

1.        Portfolio Transaction level report showing P/L

2.        Portfolio Summary Report showing P/L

3.        Delinquency Reports for Loan Portfolios

4.        Bank Level Report showing P/L with selected scenario results

Capital Reports

1.        Stress Capital Report

2.        Economic Capital Report

3.        Simulation Statistics

4.        Simulation Density Graph

All Portfolio reports have drill-down capabilities with configurable drill-down hierarchies.

 

Process Flow and User Interfaces

Efficient usability and manageability of Financial Product Stress Testing & Economic Capital Evaluation is incorporated through a standard web interface allowing information consumers, risk managers and analysts to run preconfigured web-based reports.  Stress results based on pre-defined scenarios are retrieved applying them to user-defined (sub-) portfolios. In addition the user can define ad-hoc scenarios and apply them to user-defined (sub-) portfolios, and report results based on pre-defined web-reports. A web-based Simulation Manager allows defining and running an Economic Capital calculation for a user-defined (sub-) portfolio. All reports can be exported to Excel for easy distribution or further analysis.

At the heart of Financial Product Stress Testing & Economic Capital Evaluation is a highly flexible and configurable leading statistical computing and analytics engine running as server-based risk services. A typical deployment consists of an over-night batch run to calculate stress results with respect to pre-defined scenarios and economic capital results, and ad-hoc runs to process ad-hoc scenarios created by the user. For fastest processing, Financial Product Stress Testing & Economic Capital Evaluation can be deployed using Grid technology. The third party pricing services can run in conjunction with the server-based risk services, leveraging full financial instrument evaluation through pricing models.

 

Performance Optimized Reporting Repository

The web user interface retrieves data from a performance optimized Reporting Repository in order to process the web-based reports. Performance optimization is incorporated through a normalized data model of semi-star schema allowing quick access to the underlying fact tables through a set of dimensional tables. In addition, performance of report processing is optimized by parallelizing the referring ETL processes. As a result Financial Product Stress Testing & Economic Capital Evaluation can easily be deployed for analyzing millions of transactions/positions at globally operating financial institutions.

 

Data Integration

Financial Product Stress Testing & Economic Capital Evaluation requires as input market and risk factor data incl. macroeconomic data, transaction/position data, counterparty data, borrower data, collateral data, issuer data, and dimensional data. The system comes with a data dictionary in order to facilitate and accelerate mapping of pricing model data, risk factor data and other input data elements. All these input data are sourced from existing database systems though leading data integration capabilities including rules-based data cleansing; the data is transformed and loaded into Intermediate and Configuration Data.