Chapter 7

  1. abstract models
    Abstract models, also called basic models, tend to have applicability only in solving real-world challenges of the future.
  2. applied models
    Applied models are designed to adress immediate real-world challenges and opportunities.
  3. benchmarking
    Benchmarking, often referred to as performance benchmarking, is the process of selecting an investment index, an investment portfolio, or any other source or return as a standard (or benchmark) for comparison during performance analysis.
  4. cross-sectional models
    Cross-sectional models analyze behavior at a single point in time across various subjects, such as investors or investments.
  5. normative model
    A normative model attempts to describe how people and prices ought to behave.
  6. panel data sets
    Panel data sets combine the two approaches by tracking multiple subjects through time and can also be referred to as longitudinal data sets and cross-sectional time-series data sets.
  7. peer group
    The peer group is typically a group of funds with similar objectives, strategies, or portfolio holdings.
  8. performance attribution
    Performance attribution, also known as return attribution, is the process of identifying the components of an asset's return or performance.
  9. positive model
    A positive model attempts to describe how people and prices actually behave.
  10. return attribution
    Performance attribution, also known as return attribution, is the process of identifying the components of an asset's return or performance.
  11. Time-series models
    Time-series models analyze behavior of a single subject or a set of subjects through time.
Author
LOT
ID
348306
Card Set
Chapter 7
Description
Benchmarking and Performance Attribution
Updated