When trackers are aware of ESG: Do ESG ratings matter to tracking error portfolio performance?
A Ling, J Li, L Wen, Y Zhang - Economic Modelling, 2023 - Elsevier
With the increasing severity of the greenhouse effect and environmental pollution,
environmental, social, and governance (ESG) investing has received much attention in …
environmental, social, and governance (ESG) investing has received much attention in …
[HTML][HTML] Correlation versus co-fractality: Evidence from foreign-exchange-rate variances
K Grobys - International Review of Financial Analysis, 2023 - Elsevier
The concept of correlation appears to be the cornerstone of modern finance as it is applied
in almost all finance-related research studies. However, Fama (1963) argued that “if the …
in almost all finance-related research studies. However, Fama (1963) argued that “if the …
Optimal portfolio design of energy storage devices with financial and physical right market
With the continuous development of the spot market, in the multi-stage power market
environment with the day-ahead market and right market, the study associated with the …
environment with the day-ahead market and right market, the study associated with the …
Index tracking model, downside risk and non-parametric kernel estimation
J Huang, Y Li, H Yao - Journal of Economic Dynamics and Control, 2018 - Elsevier
In this paper, we propose an index tracking model with the conditional value-at-risk (CVaR)
constraint based on a non-parametric kernel (NPK) estimation framework. In theory, we …
constraint based on a non-parametric kernel (NPK) estimation framework. In theory, we …
Partial moments and indexation investment strategies
J Huang, Y Li, H Yao - Journal of Empirical Finance, 2022 - Elsevier
Index-linked investment strategies are developing rapidly. However, few studies distinguish
between the returns of an indexation portfolio above and below a benchmark index. In this …
between the returns of an indexation portfolio above and below a benchmark index. In this …
Reconciling Tracking Error Volatility and Value-at-Risk in Active Portfolio Management: A New Frontier
This article introduces the Risk Balancing Frontier (RBF), a new portfolio boundary in the
absolute risk-total return space: the RBF arises when two risk indicators, the Tracking Error …
absolute risk-total return space: the RBF arises when two risk indicators, the Tracking Error …
Comparing the performance and composition of tracking error constrained and unconstrained portfolios
CF du Sart, GW van Vuuren - The Quarterly Review of Economics and …, 2021 - Elsevier
Active portfolios subject to tracking error constraints are bound by an ellipse in absolute risk-
return space, known as the constant tracking error frontier, where the absolute risk is the …
return space, known as the constant tracking error frontier, where the absolute risk is the …
A unified approach to portfolio selection in a tracking error framework with additional constraints on risk
P Stucchi - The Quarterly Review of Economics and Finance, 2015 - Elsevier
Most methods of performance evaluation and most allocation strategies are based on
tracking error, that is the excess return of the managed portfolio with respect to the …
tracking error, that is the excess return of the managed portfolio with respect to the …
Benefits and consequences of diversification: Evidence from financialzed commodity portfolios
R Handika, M Ekananda - Asian Business Research Journal, 2019 - ecsenet.com
The financial risk analysis of commodity markets has become an increasingly important
issue in the recent decade. However, studies about commodities portfolio diversification …
issue in the recent decade. However, studies about commodities portfolio diversification …
[PDF][PDF] Optimal portfolio selection using multi-objective fuzzy-genetic method
IG Sardou, A Nazari, E Ghodsi… - International Journal of …, 2015 - academia.edu
The purpose of investors is to maximize the expected returnin an acceptable level of risk. A
genetic algorithm (GA) based on multi-objective fuzzy approach is presented in this paper to …
genetic algorithm (GA) based on multi-objective fuzzy approach is presented in this paper to …