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  • [Machine Learning for Trading] {ud501} Lesson 19: 02-09 The Fundamental Law of active portfolio management | Lesson 20: 02-10 Portfolio optimization and the efficient frontier

    this lesson => Buffet said two things

    => (1) investor skill

    => (2) breadth / the number of investments

    Grinold's Fundamental Law

    breadth => more opportunities to applying that skill => eg. how many stocks you invest in

     IC => information coefficient 

    BR => breadth / how many trading opportunities we have

     The Coin Flipping Casino

     

    Which bet is better? 

     

    Coin-Flip Casino: Risk

    Coin-Flip Casino: Reward/Risk 

     

     Coin-Flip Casino: Observations

     

     Coin-Flip Casino: Lessons

    (1) higher alpha generates a higher sharpe ratio 

     (2) more execution opportunities provides a higher sharpe ratio 

     (3) sharpe ratio grows as the square root of breadth 

    Back to the real world 

     

     IR, IC and breadth

     

     The Fundamental Law

     

    skill is harder to be increased than breadth

    Skill => introverted

    Breadth => extroverted 

    Simons vs. Buffet 






     

     What is risk?

     Visualizing return vs risk

     

    Building a portfolio 

    Can we do better? 

     

    Harry discovered the relationship between stocks in terms of covariance 

    resulting of the portfolio is not just a blend of the various risks

     right stocks picking => outliers

     Why covariance matters

    Mean Variance Optimization 

    The efficient frontier 

     

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  • 原文地址:https://www.cnblogs.com/ecoflex/p/10977417.html
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