Hedging strategies among financial markets: the case of green and brown assets. [PDF]
Empir Econ, 2023 Raheem ID +3 more
europepmc +1 more source
LSTM-GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios. [PDF]
Comput Econ, 2023 García-Medina A, Aguayo-Moreno E.
europepmc +1 more source
Evaluating Portfolio Value-at-Risk using Semi-Parametric GARCH Models [PDF]
In this paper we examine the usefulness of multivariate semi-parametric GARCH models for portfolio selection under a Value-at-Risk (VaR) constraint. First, we specify and estimate several alternative multivariate GARCH models for daily returns on the S ...
Jeroen VK Rombouts, Marno Verbeek
core
Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies. [PDF]
Empir Econ, 2023 Cheng J.
europepmc +1 more source
Sensitivity analysis of volatility: a new tool for risk management [PDF]
The extension of GARCH models to the multivariate setting has been fraught with difficulties. In this paper, we suggest to work with univariate portfolio GARCH models.
Ceci, Vladimiro +2 more
core
High and Low Frequency Correlations in Global Equity Markets [PDF]
This study models high and low frequency variation in global equity correlations using a comprehensive sample of 43 countries that includes developed and emerging markets, during the period 1995-2008.
José Gonzalo Rangel, Robert F. Engle
core
Forecasting multivariate volatility in larger dimensions: some practical issues [PDF]
The importance of covariance modelling has long been recognised in the field of portfolio management and large dimensional multivariate problems are increasingly becoming the focus of research.
Adam E Clements +2 more
core
Co-movement between Covid-19 and G20 stock market returns: A time and frequency analysis. [PDF]
Heliyon, 2023 Phiri A, Anyikwa I, Moyo C.
europepmc +1 more source
Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies [PDF]
This paper examines the inclusion of the dollar/euro exchange rate together with four important and highly traded commodities - aluminum, copper, gold and oil- in symmetric and asymmetric multivariate GARCH and DCC models.
Hammoudeh, S.M., McAleer, M.J., Yuan, Y.
core +1 more source
On the relationship between oil market and European stock returns. [PDF]
Environ Sci Pollut Res Int, 2023 Magazzino C, Shahbaz M, Adamo M.
europepmc +1 more source