Data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering

R Sehgal, P Jagadesh - Expert Systems with Applications, 2023 - Elsevier
The portfolio optimization (PO) model with semi-mean absolute deviation (SMAD) risk
measure has been commonly applied to construct optimal portfolios due to the ease of …

Worst-case analysis of Omega-VaR ratio optimization model

R Sehgal, A Sharma, R Mansini - Omega, 2023 - Elsevier
The Omega ratio, a performance measure that separately considers upside and downside
deviations from a fixed threshold, improves the Sharpe ratio by incorporating the higher …

A Combined AHP-PROMETHEE approach for portfolio performance comparison

M Sikalo, A Arnaut-Berilo, A Delalic - International journal of financial …, 2023 - mdpi.com
Comparing portfolio performance is complex due to the fact that each model is dominant in
its own risk space. Since there is no single dominant performance measure, the research …

[PDF][PDF] A scientometric analysis of robust portfolio optimization

A Eskorouchi, H Ghanbari, E Mohammadi - Iranian journal of accounting …, 2023 - jm.um.ac.ir
During the past few years, there have been some turbulent events in the global economy
that have significantly impacted the performance of financial markets. Therefore, there is an …

[PDF][PDF] Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization

S Sood, K Papasotiriou, M Vaiciulis… - FinPlan, 2023 - icaps23.icaps-conference.org
Portfolio Management is the process of overseeing a group of investments, referred to as a
portfolio, with the objective of achieving predetermined investment goals and objectives …

Worst-case Conditional Value at Risk for asset liability management: A framework for general loss functions

A Ghahtarani, A Saif, A Ghasemi - European Journal of Operational …, 2024 - Elsevier
Asset–liability management (ALM) is a challenging task faced by pension funds due to the
uncertain nature of future asset returns, employees' wages, and interest rates. To address …

Investment portfolio tracking using model predictive control

MK de Melo, RT Nogueira Cardoso… - Optimal Control …, 2023 - Wiley Online Library
The composition of an investment portfolio aiming to increase the financial returns while
reducing the exposure to risk is a topic of growing interest in the world. In this direction, we …

Robust and Sparse Portfolio: Optimization Models and Algorithms

H Zhao, Y Jiang, Y Yang - Mathematics, 2023 - mdpi.com
The robust and sparse portfolio selection problem is one of the most-popular and-frequently
studied problems in the optimization and financial literature. By considering the uncertainty …

[HTML][HTML] A robust ordered weighted averaging loss model for portfolio optimization

S Benati, E Conde - Computers & Operations Research, 2024 - Elsevier
In this paper we will propose a Robust Ordered Weighted Averaging (ROWA) optimization
model to find a portfolio according to different attitudes towards risk of a decision maker. The …

Harnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making

V Carandente, G Sperlí - Cognitive Computation, 2024 - Springer
In the last years, researchers and practitioners have focused on defining portfolio
optimization approaches. This task aims to identify a suitable distribution of assets for …