Day One

Introduction to Reference Data

New York 24 May 2010
London 21 June 2010

08.30 Registration and coffee
09.00 Introduction
  • Tutor - Background and experience
  • Attendees
    - Description of roles and position accountabilities
  • Course Expectations
    - Description of agenda topic as they relate to the roles of attendees

9.30 What is reference data?

  • Definition
    - Interactive description and definition within the framework of reference data
  • How it is used
    - Within the industry and between companies
    - Within the specific roles of attendees
  • Why it is important
    - For the industry
    - How understanding it will make your life easier
  • Lifecycle of data
    - Where reference data originates
    - Who develops it and why
  • Where it fits within the trade cycle
    - The importance of reference data from issuance through settlement
10.30 The birth and growth of reference data
  • The genesis of reference data
    - From paper to iPhones
  • How it continues to grow
11.00 Morning break
11.30 WHERE DOES REFERENCE DATA FIT IN THE MARKET DATA UNIVERSE
  • The sources of reference data
  • Creation through distribution
    - From term sheets into bytes
  • The business model of distribution
    - Initial distribution; redistribution
  • Ownership and management concerns
    - Defining your needs
  • Licensing and consumption
    - General approach of data providers and an understanding of licensing versus ownership
12.15 Securites identifiers
  • What they are and what a mess it is
    - CUSIPS, ISINs, RICs, etc.
  • How we got into the mess we’re in
    - The evolution of the identifier
  • Why they’re considered reference data
13.00 Lunch
14.00 CORPORATE ACTIONS
  • What they are
    - Notifications; reorganizations; capital changes; and so on
  • How major companies handle them
14.45 Counterpart Data
  • Counterparty Data
  • Corporate hierarchies
    - Subsidiaries, affiliates
  • Issue versus issuer
    - The two sides to every security
15.15 Aftrenoon break
15.45 Customer Data
  • Know your client
  • Suitability
16.30 Course Conclusions
  • Q&A
17.00 End of course