Ermas Consulting Inc. : Exceeding Expectations

Our Approach to Integration Consulting

Ermas Loss Forecasting

  1. Overview
  2. Benefits
  3. Features
  4. Screenshots
  5. System Requirements

Overview

  • Ermas Loss Forecasting helps the user to automate the loss forecasting process and provides a web based application integrated with SAS Analytics
  • Predict PDs, LGDs, $Loss, conditional short sale, conditional REO
  • Highly configurable modeling platform to implement proprietary models for most accurate loss forecasting
  • Models are user driven
  • Models written in SAS can be easily integrated in the application
  • Model versions can be kept (code driven)

Benefits

Cost efficient
  • Ermas Software deployment is based on basic SAS Modules referring to SAS BASE, STAT, ETS, IML, Graph, Integration Technology and SAS Share. This is a very cost effective way of deploying Risk Analytics.
  • Ermas Software also supports R language, C and C++ code. This enables the user for example to build Risk Analytics based on R open source language, in order to reduce commercial Software Fees.
Integrated with SAS
  • Proprietary SAS Model code can be fully applied within Ermas software.
  • Ermas Software is fully integrated with the SAS language and enables the user to develop proprietary SAS models and to expedite the deployment of new production SAS models.
Scalable
  • Ermas Software can leverage a multi-core computing infrastructure and can be grid-enabled for fastest processing and scalability.
  • For example, Ermas Software can use SAS Connect (MP/Connect) to distribute processing load across multiple CPU cores fastest processing and maximum scalability.
  • No limitation in data volume processed.
Flexible
  • Open integration with proprietary or third party models allows to apply 'best-in-class' models for each financial product type ensuring unlimited financial product coverage and leveraging full pricing.
  • Each individual model (such as cash flow model, pricing model, PD-, LGD- and prepayment model, term structure model, credit-Value-at-Risk model, Economic Capital model, or other model) can be chosen by the user allowing leveraging proprietary knowledge and propriety models to perform most accurate risk management.
  • The Ermas Risk Framework allows banks to develop, validate, deploy, and track risk models faster, cheaper, and more flexibly than outsourced alternatives or desktop solutions.
Consistent
  • Ermas Risk Framework provides a risk management framework that is consistent with best practice of risk modeling in the financial services industry.
  • Consistent, accurate and reliable data is required in order to achieve best practice in risk management. Based on Ermas Risk Framework you can efficiently manage vast quantities of data from across the enterprise - this includes data from loan capture systems, trading systems, and risk factor agencies, loan performance data, among other data.
  • Ermas Risk Framework ensures to apply risk models and model parameters consistently across all portfolio and exposure types.

Features

  • Ermas Loss Forecasting is a web-based application helping the user to automate the loss forecasting process:
    • Automate the feed of data into Operational Data Stores (ODS) based on SAS datasets
    • Enable a Web application to perform Calculated Input Adjustments, Scenarios, Forecasts and Reporting
    • Enable detailed views into the forecast with drill-down by any loan attribute for most detailed analytics
  • Data Integration and Calculated Inputs
    • Data is loaded from multiple data sources into Operational Data Stores ODS
    • Calculated Input Functions are applied to perform Calculated Input Adjustment in order to consolidate and bucket input data for usage
    • Web Application enables the user to override the Official Value
    • Input data are at Cohort or National Level
  • Scenarios - Add/Modify
    • Selected factors are table driven
    • Shock Value and Shock Type (ABS, REL) are user entry fields
  • Forecast
    • Run forecasts for Selected data periods and Scenarios
  • Reports
    • Profit and Loss Report
    • Cash flow reporting
  • Administration
    • Menu Configuration
    • Report Configuration
    • Define Report Parameters for SAS Stored Process

Screenshots

System Requirements

SAS Software Requirements - SAS 9.1.3 or 9.2
  • SAS 9.1.3 or 9.2
  • SAS BASE, STAT, ETS, IML, Graph
  • SAS Connect
  • SAS Integration Technology
  • SAS Share
Java Requirements
  • Java 1.6
Web Portal Requirements
  • LifeRay 6.0