A metaheuristic-based framework for index tracking with practical constraints
Recently, numerous investors have shifted from active strategies to passive strategies
because the passive strategy approach affords stable returns over the long term. Index …
because the passive strategy approach affords stable returns over the long term. Index …
A constrained portfolio selection model at considering risk-adjusted measure by using hybrid meta-heuristic algorithms
IB Salehpoor, S Molla-Alizadeh-Zavardehi - Applied Soft Computing, 2019 - Elsevier
Portfolio selection is a key issue in the business world and financial fields. This article
presents a new decision making method of portfolio optimization (PO) issues in different risk …
presents a new decision making method of portfolio optimization (PO) issues in different risk …
A systematic literature review on solution approaches for the index tracking problem
JCS Silva, AT de Almeida Filho - IMA Journal of Management …, 2024 - academic.oup.com
Abstract Accepted by: Giorgio Consigli The passive management approach offers
conservative investors a way to reduce risk concerning the market. This investment strategy …
conservative investors a way to reduce risk concerning the market. This investment strategy …
Equity portfolio management with cardinality constraints and risk parity control using multi-objective particle swarm optimization
M Kaucic - Computers & Operations Research, 2019 - Elsevier
The financial crisis and the market uncertainty of the last years have pointed out the
shortcomings of traditional portfolio theory to adequately manage the different sources of risk …
shortcomings of traditional portfolio theory to adequately manage the different sources of risk …
Lasso-based index tracking and statistical arbitrage long-short strategies
LR Sant'Anna, JF Caldeira, TP Filomena - The North American Journal of …, 2020 - Elsevier
In this paper, we apply the lasso-type regression to solve the index tracking (IT) and the long-
short investing strategies. In both cases, our objective is to exploit the mean-reverting …
short investing strategies. In both cases, our objective is to exploit the mean-reverting …
Index tracking through deep latent representation learning
S Kim, S Kim - Quantitative Finance, 2020 - Taylor & Francis
We consider the problem of index tracking whose goal is to construct a portfolio that
minimizes the tracking error between the returns of a benchmark index and the tracking …
minimizes the tracking error between the returns of a benchmark index and the tracking …
Risk measure index tracking model
LR Sant'Anna, MB Righi, FM Müller… - International Review of …, 2022 - Elsevier
We take a standard index tracking (IT) optimization model and include seven risk measures
as constraints, as we seek to estimate portfolios that not only aim at tracking the market …
as constraints, as we seek to estimate portfolios that not only aim at tracking the market …
A kind of new time-weighted nonnegative lasso index-tracking model and its application
This study describes improved index-tracking methods to replicate the target index's market
performance in a high-dimensional sparse linear regression with nonnegative constraints on …
performance in a high-dimensional sparse linear regression with nonnegative constraints on …
Tracking and outperforming large stock-market indices
M Gnägi, O Strub - Omega, 2020 - Elsevier
Enhanced index-tracking funds aim to achieve a small target excess return over a given
financial benchmark index with minimum additional risk relative to this index, ie, a minimum …
financial benchmark index with minimum additional risk relative to this index, ie, a minimum …
Sparse portfolio selection with uncertain probability distribution
Designed as remedies for uncertain parameters and tiny optimal weights in the portfolio
selection problem, we consider a class of distributionally robust portfolio optimization …
selection problem, we consider a class of distributionally robust portfolio optimization …