Exploring rationality of peer-to-peer lending investors: A conceptual approach and multicriteria-based methodology

R Legenzova, G Leckė - … . Quarterly Journal of Economics and Economic …, 2024 - ceeol.com
Research background: The shift towards globalization, technological innovations, and digital-
ization has led to the emergence of various innovative financial products, such as peer-to …

Clustering stock performance considering investor preferences using a fuzzy inference system

SN Zainol Abidin, SH Jaaman, M Ismail, AS Abu Bakar - Symmetry, 2020 - mdpi.com
The fact that many stocks are traded in the marketplace makes the selection process of
choosing the right stocks for investment crucial and challenging. In the literature on stock …

Implementation of machine learning in -based sparse Sharpe ratio portfolio optimization: a case study on Indian stock market

J Behera, P Kumar - Operational Research, 2024 - Springer
Constructing the optimal portfolio by determining and selecting the best combinations of
multiple portfolios is computationally challenging due to its exponential complexity. This …

Modeling of Mean-Value-at-Risk Investment Portfolio Optimization Considering Liabilities and Risk-Free Assets

Sukono, PLB Ghazali, MD Johansyah, Riaman… - Computation, 2024 - mdpi.com
This paper aims to design a quadratic optimization model of an investment portfolio based
on value-at-risk (VaR) by entering risk-free assets and company liabilities. The designed …

[PDF][PDF] Stock price prediction and portfolio selection using artificial intelligence

S Patalay, MR Bandlamudi - Asia Pacific Journal of Information …, 2020 - researchgate.net
Stock markets are popular investment avenues to people who plan to receive premium
returns compared to other financial instruments, but they are highly volatile and risky due to …

Decision-making in formation of mean-VaR optimal portfolio by selecting stocks using K-means and average linkage clustering

A Ridwan, H Napitupulu… - Decision Science Letters, 2022 - m.growingscience.com
Stock is one of the investment assets that has its charm for investors. It is very liquid and has
a high rate of return, but it has a high risk. The strategy commonly used to minimize …

Clustering Stocks by ESG Score Values, Risks and Returns: Case of Expanded German Index DAX

A Kaminskyi, M Nehrey - International Conference of Artificial Intelligence …, 2022 - Springer
The paper is devoted to the application of the cluster approach to portfolio management,
based on the inclusion of sustainability component in the clustering. ESG-score provided by …

Multi-objective portfolio selection problem using admissible order vector space

P Kumar, B Rani BS, AK Bhurjee - AIP Conference Proceedings, 2022 - pubs.aip.org
In this paper, multiobjective optimization problem is considered in which parameters of
objective functions (expected return, risk, skewness, kurtosis, and entropy) are estimated as …

AMA-K: Aggressive multi-temporal allocation with K experts for online portfolio selection

M Kruger, TL van Zyl… - 2021 8th International …, 2021 - ieeexplore.ieee.org
Online portfolio selection is an integral component of wealth management. The fundamental
undertaking is to maximise returns while minimising risk given investor constraints. We aim …

[HTML][HTML] RPS: Portfolio asset selection using graph based representation learning

MA Fazli, P Alian, A Owfi, E Loghmani - Intelligent Systems with …, 2024 - Elsevier
Portfolio optimization is one of the essential fields of focus in finance. There has been an
increasing demand for novel computational methods in this area to compute portfolios with …