James-Stein Estimation of Minimum Variance Portfolios - BQE Lecture Series

James-Stein Estimation of Minimum Variance Portfolios - BQE Lecture Series

NYU Tandon School of Engineering via YouTube Direct link

Introduction

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1 of 21

Introduction

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Classroom Contents

James-Stein Estimation of Minimum Variance Portfolios - BQE Lecture Series

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  1. 1 Introduction
  2. 2 Marks Optimization Enigma
  3. 3 Spiked Covariance Model
  4. 4 Markowitz Enigma
  5. 5 Optimization Bias
  6. 6 Future Work
  7. 7 Optimization Bias Free PCA
  8. 8 Assumptions
  9. 9 Data Matrix
  10. 10 Correction for Bias
  11. 11 Recipe
  12. 12 Boundedness
  13. 13 Numerical Evidence
  14. 14 Beta Adjustments
  15. 15 The Sign Paradox
  16. 16 shrinkage formula
  17. 17 shrinkage paradox
  18. 18 jamestime estimator
  19. 19 summary
  20. 20 mean squared error
  21. 21 angles

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