A Portfolio Selection Strategy Based on the Peak Price Involving Randomness

We propose a system based on the peak price involving randomness (PPR) for the portfolio selection. In the light of the relative price forecast in the paper entitled “reweighted price relative tracking system for automatic portfolio optimization” by Lai et al., which automatica...

Full description

Bibliographic Details
Main Authors: Binhong Li, Jiaxi Luo, Hongjie Xu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10130540/
_version_ 1797810628118708224
author Binhong Li
Jiaxi Luo
Hongjie Xu
author_facet Binhong Li
Jiaxi Luo
Hongjie Xu
author_sort Binhong Li
collection DOAJ
description We propose a system based on the peak price involving randomness (PPR) for the portfolio selection. In the light of the relative price forecast in the paper entitled “reweighted price relative tracking system for automatic portfolio optimization” by Lai et al., which automatically assigns different weights to the predicted relative price based on the performance of each asset, we will determine the proportion of each stock by the three factors: The average price of the daily price divided by current price, the ratio of the peak price of daily price to current price, and the random value of the relative price of stock in the time window. A large number of the experiments on the five datasets show that the PPR is superior to some recent portfolio selection system in many aspects. These results suggest that the PPR is an efficient automatic portfolio optimization system, at least on the datasets.
first_indexed 2024-03-13T07:11:42Z
format Article
id doaj.art-40980c0d26b24e1ebd4ff72b8e1906d8
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-03-13T07:11:42Z
publishDate 2023-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-40980c0d26b24e1ebd4ff72b8e1906d82023-06-05T23:00:46ZengIEEEIEEE Access2169-35362023-01-0111520665207410.1109/ACCESS.2023.327898010130540A Portfolio Selection Strategy Based on the Peak Price Involving RandomnessBinhong Li0https://orcid.org/0009-0007-3821-7984Jiaxi Luo1Hongjie Xu2Department of Mathematics, College of Information Science and Technology, Jinan University, Guangzhou, ChinaDepartment of Mathematics, College of Information Science and Technology, Jinan University, Guangzhou, ChinaDepartment of Mathematics, College of Information Science and Technology, Jinan University, Guangzhou, ChinaWe propose a system based on the peak price involving randomness (PPR) for the portfolio selection. In the light of the relative price forecast in the paper entitled “reweighted price relative tracking system for automatic portfolio optimization” by Lai et al., which automatically assigns different weights to the predicted relative price based on the performance of each asset, we will determine the proportion of each stock by the three factors: The average price of the daily price divided by current price, the ratio of the peak price of daily price to current price, and the random value of the relative price of stock in the time window. A large number of the experiments on the five datasets show that the PPR is superior to some recent portfolio selection system in many aspects. These results suggest that the PPR is an efficient automatic portfolio optimization system, at least on the datasets.https://ieeexplore.ieee.org/document/10130540/Automatic portfolio optimizationaverage pricepeak pricerandom value
spellingShingle Binhong Li
Jiaxi Luo
Hongjie Xu
A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
IEEE Access
Automatic portfolio optimization
average price
peak price
random value
title A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
title_full A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
title_fullStr A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
title_full_unstemmed A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
title_short A Portfolio Selection Strategy Based on the Peak Price Involving Randomness
title_sort portfolio selection strategy based on the peak price involving randomness
topic Automatic portfolio optimization
average price
peak price
random value
url https://ieeexplore.ieee.org/document/10130540/
work_keys_str_mv AT binhongli aportfolioselectionstrategybasedonthepeakpriceinvolvingrandomness
AT jiaxiluo aportfolioselectionstrategybasedonthepeakpriceinvolvingrandomness
AT hongjiexu aportfolioselectionstrategybasedonthepeakpriceinvolvingrandomness
AT binhongli portfolioselectionstrategybasedonthepeakpriceinvolvingrandomness
AT jiaxiluo portfolioselectionstrategybasedonthepeakpriceinvolvingrandomness
AT hongjiexu portfolioselectionstrategybasedonthepeakpriceinvolvingrandomness