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Larry Pohlman BNP Paribas Asset Management

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Title: Larry Pohlman BNP Paribas Asset Management


1
Larry PohlmanBNP Paribas Asset Management
The Business of Quantitative Investing
2
What is Quantitative Investing?
2
03/11/2013
  • Characteristic Fundamental Technical
    Quantitative
  • Approach Value Growth Momentum Value
    Growth Momentum
  • Market Subset of stocks Anything All stocks
  • Investment Horizon Months to years Minutes to
    days Days to months
  • Returns Absolute Absolute Relative
  • Portfolio Type Concentrated Mixed Risk
    controlled Specialized Benchmarked Hedge
    fund Long/short
  • Active Risk High Low Medium
  • Bookshelf Graham Dodd Edward McGee
    Markowitz Sharpe Grinold Kahn

3
How Do Quants Add Value?
3
03/11/2013
  • Scalability of coverage and uniformity of skill
    across a broad opportunity set
  • Focus on risk as well as return
  • Ability to employ multiple factors simultaneously
  • Efficient distribution of risk budget
  • Ability to digest disparate information quickly
    and translate into actionable recommendations
  • Continue to evolve factors and adapt process to
    changing environments
  • Handle special objectives


4
Risks Quants Face
4
03/11/2013
  • Common factor exposure removes inefficiencies
    and drives commoditization of the industry
  • Structural market shifts
  • Fundamental investors incorporate benefits of
    quant
  • Data lag and inaccuracies
  • False precision
  • Difficulty in processing qualitative information

5
Industry Research Themes
5
03/11/2013
5
  • Forensic accounting
  • Low volatility investing
  • Regime switching models
  • Questioning capitalization-based models
  • Text mining Quantifying qualitative information
  • Data mining
  • Advanced optimization
  • Dynamic factor models
  • High frequency

6
What Makes a Great Quant Firm?
6
03/11/2013
  • Discipline and rigor in process
  • Capital markets and accounting expertise
  • Unique analytical advantage
  • Technological superior software and data
  • Unconventional wisdom
  • Focus on efficient execution
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