Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction

K Chaudhari, A Thakkar - Expert Systems with Applications, 2023 - Elsevier
Stock market forecasting has been a subject of interest for many researchers; the essential
market analyses can be integrated with historical stock market data to derive a set of …

Multi-period portfolio selection based on uncertainty theory with bankruptcy control and liquidity

B Li, R Zhang, Y Sun - Automatica, 2023 - Elsevier
Due to the impact of uncertain events, such as the 2008 financial crisis and the outburst of
COVID-19 pandemic, the experts' evaluations information is becoming increasingly …

Portfolio selection as a multicriteria group decision making in Pythagorean fuzzy environment with GRA and FAHP framework

TK Paul, M Pal, C Jana - International Journal of Intelligent …, 2022 - Wiley Online Library
The popularity of mutual funds, which are necessarily portfolios, has been drawing more
attention from the people of India over the last three decades. In a mutual fund, one can …

Dynamic portfolio optimization using technical analysis‐based clustering

AZ Khan, MK Mehlawat - International Journal of Intelligent …, 2022 - Wiley Online Library
An accurate prediction of asset prices is perhaps the biggest challenge of any study in
portfolio optimization. Asset prices are affected by several random and nonrandom factors …

Credibilistic portfolio optimization with higher-order moments using coherent triangular fuzzy numbers

PK Mandal, M Thakur, G Mittal - Applied Soft Computing, 2024 - Elsevier
Financial portfolio formation is usually a multi-objective decision-making problem
concerning return and risk on the investment. In this study, we make use of an extension of …

Portfolio optimization using elliptic entropy and semi-entropy of coherent fuzzy numbers

P Gupta - Information Sciences, 2022 - Elsevier
This paper explores the elliptic entropy and the elliptic semi-entropy of a coherent fuzzy
number and discusses several of their properties. We propose a methodology that …

Portfolio model with a novel two-parameter coherent fuzzy number based on regret theory

X Deng, F Geng - Soft Computing, 2023 - Springer
Inspired by Li (2019) who considers one parameter, we propose a novel two-parameter
coherent fuzzy number (TPCFN) that can flexibly capture investors' attitudes (pessimistic …

A Fuzzy Rule-based System for Portfolio Selection using Technical Analysis

AZ Khan, P Gupta, MK Mehlawat - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
In this paper, we propose an automatic trading system for portfolio selection that
incorporates an investor's trading strategy (aggressive, conservative, or neutral). The system …

Adaptive evolutionary algorithms for portfolio selection problems

G Filograsso, G di Tollo - Computational Management Science, 2023 - Springer
In this contribution we propose to solve complex portfolio selection problems via
Evolutionary Algorithms (EAs) that resort to adaptive parameter control to manage the …

A multi-objective multi-period efficient portfolio selection approach for positive and negative returns using RDM-DEA under credibilistic framework

A Kumar, S Yadav - IEEE Transactions on Engineering …, 2024 - ieeexplore.ieee.org
There are abundant applications of data envelopment analysis (DEA) for efficient portfolio
selection, though in a single-period environment. However, portfolio selection is a …