Training offering

Amstar Technologies Pvt Ltd

IBM Algorithmics Introduction to Algo Scenario Engine

Information

Length: 8.0 Hours
Course code: G0201G
Delivery method:

Click on a delivery method to see details

Classroom

Instructor Led Online

Price: 30000 INR
This training is available on request.
Please contact us by phone or email at :
+91 80 42 24 22 49
training@amstar.in

Overview

*** For inquiries and scheduling for this course, 
please contact wfssedu@us.ibm.com ***

This is an IBM ISDR course.

Introduction to Algo Scenario Engineā„¢ is an advanced scenario generation application. It is an important part of integrated market and credit risk solutions. The scenarios created in ASE are based on historical time series data of observable market rates and prices. The scenarios generated by ASE are used for simulation and stress testing of portfolios.

Upon successful completion of the course, you will be able to:

  • Describe the type of data required to generate scenarios;
  • Create an ASE configuration file and set up the application;
  • Use ASE commands to perform various tasks;
  • Navigate using the ASE Graphical User Interface;
  • Explain the various scenario types;
  • Describe the different components required to generate scenarios;
  • Integrate ASE with RiskWatch.

Public

This intermediate course is aimed at finance individuals, including risk managers, trading analysts, investment managers, and financial analysts.

Prerequisits

You shoud have a foundation of RiskWatch or equivalent.

Basic knowledge of UNIX is required.

Objective

Please refer to Course Overview for description information.

*** For inquiries and scheduling for this course, 
please contact wfssedu@us.ibm.com ***

This is an IBM ISDR course.

Topics

This one-day course is delivered through a number of mediums, including product demonstrations, instructor-led exercises and self-paced hands-on practice.

  • Introduction to ASE and Navigation
  • Understanding the Input data for scenario generation
  • Breaking down ASE into its components
    • Blocks/ Models/ Estimations/ Transformations
  • Understanding and bringing all the components together in Scenario Generators and Scenario Sets
  • Creating Historical Scenarios through deeper analytics
  • Creating Monte Carlo Scenarios through deeper analytics
  • Understanding how ASE integrates with RW