Penalty ADM Algorithm for Cardinality Constrained Mean-Absolute Deviation Portfolio Optimization

In this paper, we study the cardinality constrained mean-absolute deviation portfolio optimization problem with risk-neutral interest rate and short-selling. We enhance the model by adding extra constraints to avoid investing in those stocks without short-selling positions. Also, we further enhance...

Full description

Bibliographic Details
Main Authors: Almaadeed, T.A (Author), Hamdi, A. (Author), Khodamoradi, T. (Author), Salahi, M. (Author)
Format: Article
Language:English
Published: International Academic Press 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 01419nam a2200205Ia 4500
001 10.19139-soic-2310-5070-1312
008 220718s2022 CNT 000 0 und d
020 |a 2311004X (ISSN) 
245 1 0 |a Penalty ADM Algorithm for Cardinality Constrained Mean-Absolute Deviation Portfolio Optimization 
260 0 |b International Academic Press  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.19139/soic-2310-5070-1312 
520 3 |a In this paper, we study the cardinality constrained mean-absolute deviation portfolio optimization problem with risk-neutral interest rate and short-selling. We enhance the model by adding extra constraints to avoid investing in those stocks without short-selling positions. Also, we further enhance the model by determining the short rebate based on the return. The penalty alternating direction method is used to solve the mixed integer linear model. Finally, numerical experiments are provided to compare all models in terms of Sharpe ratios and CPU times using the data set of the NASDAQ and S&P indexes. Copyright © 2022 International Academic Press 
650 0 4 |a Cardinality constrained 
650 0 4 |a Mad model 
650 0 4 |a PADM method 
700 1 |a Almaadeed, T.A.  |e author 
700 1 |a Hamdi, A.  |e author 
700 1 |a Khodamoradi, T.  |e author 
700 1 |a Salahi, M.  |e author 
773 |t Statistics, Optimization and Information Computing  |x 2311004X (ISSN)  |g 10 3, 775-788