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 …
measure has been commonly applied to construct optimal portfolios due to the ease of …
Worst-case analysis of Omega-VaR ratio optimization model
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 …
deviations from a fixed threshold, improves the Sharpe ratio by incorporating the higher …
A Combined AHP-PROMETHEE approach for portfolio performance comparison
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 …
its own risk space. Since there is no single dominant performance measure, the research …
[PDF][PDF] A scientometric analysis of robust portfolio optimization
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 …
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 …
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 …
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 …
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 …
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 …
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 …
optimization approaches. This task aims to identify a suitable distribution of assets for …