2. Agenda
 About the company
 Market Challenges
 Modelity/Structures Solutions
 Case Studies

3. About Modelity
 Financial technology company
 Founded in 2000
 85 Employees
 Part of the Fishman Group consisting of thousands of employees
 Global Offices:

4. Leading Clients

5. Market Challenge
Complex products, insufficient transparency
 Salespersons not understanding products refrain from selling
 Investors not understanding products refrain from investing
 Complexity and non-standardization results in lack of automation
 Lack of automation results in
 long time to market for new ideas
 poor client support
 All of the above results in low sales

6. Modelity/Structures Solution
Comprehensive set of solutions for the entire product lifecycle
Flexible financial language to allow modeling of all structured products
 Enhanced transparency using dynamic and interactive product
visualizations
 Maximize sales
 Educate clients
 Automate tedious manual work
 Upgrade client support
 Speed up time to market for new products and new product innovations
 Structured Product business management

7. Modelity/Structures Solution

8. Animated Sales Presentations
Interactive flash presentation including a product performance simulator.
Tailored to boost sales in the primary market.
 Educational videos
 Payoff logic illustrations
 Interactive future scenarios (and possible
product outcomes)
 Sales persons training tool (quiz)
 Narration (voice)

9. Secondary Market Volume Generation
Dynamic flash presentation to explain the product’s historical performance and
possible future scenarios.
 Includes live feed of market data
 Dynamic illustrations - adjusting to the market situations
 Personalized - investors may input individual
purchase prices for the products
 Decision-making tools to
stimulate trading activity

10. Product Repository
Centralized repository holding all the organization’s structured products along
with common and advanced management capabilities
 Storage and management of all structured product types
 Holds static and dynamically calculated data
 Advanced screening capabilities
 Management Reporting

11. Performance Reporting
Reporting and visualization mechanism that produces reports showing the actual
performance of live products and their underlying instruments
 Friendly product and underlyers performance illustrations
 Coupon payments and accruals
 Observations (Asian in/out, Cliquet…)
 Barriers (Knock-in/out, range, tunnel...)
 Dynamic weighting (Rainbow, momentum…)

12. Termsheet & Pre-launch Documentation
Streamlines tedious and error-prone production of product documentation
 Automatically updated and generated
 Eliminates manual errors
 Utilized for various document types such as:
 Private client termsheet
 KIID
 Brochure
 SEC Free Writing Prospectus
 Indicative / final terms

13. Analytics
Test and compare existing products and new product ideas using a variety of
scenario analysis tools
 Back testing
 Stress back testing
 Monte-Carlo based future scenarios
 Actual historical performance

14. Website Generation
Automatic creation of website pages and content for the structured products
business intended for the organization’s clients/investors
Amongst others may include:
 Products in subscription
 Live products
 Matured products
 Product literature
 Performance data and analysis

15. Event Monitoring
Constant monitoring and timely notifications regarding various events during
product lifetime
Typical monitored events may include:
 Approaching maturity
 Approaching observation / payment date
 Barrier breach
 Lock-in
 Knock-in
 Knock-out

16. Case Study #1
 Client: One of the top 10 global financial institutions
 Issue at stake: Performance reporting for hundreds of wealth products
 Problems:
 Prepared manually
 Delivered only on a semi-annual basis
 Very limited information per product
 Modelity/Structures Solution:
 Prepared automatically
 Delivered on a monthly basis
 Detailed and informative reporting per product
 Published on the website and increasing traffic

17. Case Study #2
 Client: One of the top 50 global financial institutions
 Issue at stake: Educational sales presentations
 Problems:
 Not available
 Modelity/Structures Solution:
 Prepared automatically for each new product
 Positive feedback from salespersons of the branch network
 Higher interest in the bank’s products by its potential investors
 Increased sales (disclaimer: increase may also have been caused by other factors)

18. Case Study #3
 Client: One of the top 100 global financial institutions
 Issue at stake: Operations – valuation of payments
 Problems:
 Payment values and timings were conducted manually
 Calculation conducted manually and in Excel resulting in many errors
 Suppression of innovative ideas, not supported by the Excel calculations
 Modelity/Structures Solution:
 Payment values calculated automatically
 High precision results
 Innovative ideas were launched without delay