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 …
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
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 …
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
Constructing the optimal portfolio by determining and selecting the best combinations of
multiple portfolios is computationally challenging due to its exponential complexity. This …
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
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 …
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 …
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 …
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 …
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 …
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 …
undertaking is to maximise returns while minimising risk given investor constraints. We aim …
[HTML][HTML] RPS: Portfolio asset selection using graph based representation learning
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 …
increasing demand for novel computational methods in this area to compute portfolios with …