Deciphering robust portfolios

Cited 7 time in webofscience Cited 0 time in scopus
  • Hit : 373
  • Download : 0
Robust portfolio optimization has been developed to resolve the high sensitivity to inputs of the Markowitz mean variance model. Although much effort has been put into forming robust portfolios, there have not been many attempts to analyze the characteristics of portfolios formed from robust optimization. We investigate the behavior of robust portfolios by analytically describing how robustness leads to higher dependency on factor movements. Focusing on the robust formulation with an ellipsoidal uncertainty set for expected returns, we show that as the robustness of a portfolio increases, its optimal weights approach the portfolio with variance that is maximally explained by factors. (C) 2014 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2014-08
Language
English
Article Type
Article
Keywords

PERMANENT INCOME; RISK; UNCERTAINTY; AMBIGUITY; CHOICE; SENSITIVITY; SELECTION; MATRICES; RETURNS; EQUITY

Citation

JOURNAL OF BANKING FINANCE, v.45, pp.1 - 8

ISSN
0378-4266
DOI
10.1016/j.jbankfin.2014.04.021
URI
http://hdl.handle.net/10203/190133
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 7 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0