ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1211.2917
  4. Cited By
High-dimensionality effects in the Markowitz problem and other quadratic
  programs with linear constraints: Risk underestimation

High-dimensionality effects in the Markowitz problem and other quadratic programs with linear constraints: Risk underestimation

13 November 2012
N. Karoui
ArXivPDFHTML

Papers citing "High-dimensionality effects in the Markowitz problem and other quadratic programs with linear constraints: Risk underestimation"

3 / 3 papers shown
Title
LoCoV: low dimension covariance voting algorithm for portfolio
  optimization
LoCoV: low dimension covariance voting algorithm for portfolio optimization
Juntao Duan
Ionel Popescu
14
0
0
01 Apr 2022
Asymptotics For High Dimensional Regression M-Estimates: Fixed Design
  Results
Asymptotics For High Dimensional Regression M-Estimates: Fixed Design Results
Lihua Lei
Peter J. Bickel
N. Karoui
11
39
0
19 Dec 2016
Can we trust the bootstrap in high-dimension?
Can we trust the bootstrap in high-dimension?
N. Karoui
E. Purdom
25
23
0
02 Aug 2016
1