EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"efficient mean-variance analysis"
Narrow search

Narrow search

Year of publication
Subject
All
Portfolio selection 2 double regularization 2 efficient mean-variance analysis 2 Portfolio-Management 1 Theorie 1 Theory 1
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 2
Author
All
Koné, N'Golo 2
Published in...
All
Queen's Economics Department working paper 1 Queen’s Economics Department Working Paper 1
Source
All
ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Efficient mean-variance portfolio selection by double regularization
Koné, N'Golo - 2021
This paper addresses the estimation issue that exists when estimating the traditional mean-variance portfolio. More precisely, the efficient mean-variance is estimated by a double regularization. These regularization techniques namely the ridge, the spectral cut-off, and Landweber-Fridman...
Persistent link: https://www.econbiz.de/10012431095
Saved in:
Cover Image
Efficient mean-variance portfolio selection by double regularization
Koné, N'Golo - 2021
This paper addresses the estimation issue that exists when estimating the traditional mean-variance portfolio. More precisely, the efficient mean-variance is estimated by a double regularization. These regularization techniques namely the ridge, the spectral cut-off, and Landweber-Fridman...
Persistent link: https://www.econbiz.de/10012429695
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...