KEY POINTS

  • Advances in computational technology, introduction of new benchmarks and trading tools, and a decline in the cost of computing power have all driven changes in the techniques of portfolio management over the past decade.
  • All active portfolios can be decomposed into an active component and a passive (benchmark replicating) component.
  • Dynamic factor models are used to build portfolios based on tactical exposure to factors such as equity style, industry or geographic location, macroeconomic factors, or microeconomic factors.
  • Factor models have a close relationship with theoretical asset pricing models.
  • Dynamic factor strategies attempt to eliminate sources of security-specific risk.
  • Portfolio managers use a variety of methods for modeling the time series variation in factor exposure, including relative value spreads, momentum and trends, as well as other combinations.
  • Both value and momentum strategies have been shown to be effective for security selection within particular markets as well as selection across markets (e.g., sectors or countries).
  • Implementation of dynamic factor approaches to portfolio management has been facilitated by new developments in modeling, benchmarking, computing power, and trading technology.
  • Many dynamic factor models may be implemented at the macro level—via direct exposure to one or more factors—or at the micro level through factor-based security selection models.

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