Conditional Correlations in the Returns on Oil Companies Stock Prices and Their Determinants [PDF]
The identification of the forces that drive stock returns and the dynamics of their associated volatilities is a major concern in empirical economics and finance.
Margherita Grasso +3 more
core
Symmetric and asymmetric GARCH estimations of the impact of oil price uncertainty on output growth: evidence from the G7. [PDF]
Lett Spat Resour Sci, 2023 Alao RO +5 more
europepmc +1 more source
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
Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets [PDF]
Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR).
Roengchai Tansuchat +2 more
core
Theory and Inference for a Markov-Switching GARCH Model [PDF]
We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Jeroen V.K. Rombouts +2 more
core +2 more sources
Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies. [PDF]
Empir Econ, 2023 Cheng J.
europepmc +1 more source
Evaluate the DCC-GARCH and Realized-GARCH model hedging performance
, 2014 碩士本文以在芝加哥商品交易所交易的S&P 500期貨價格以及現貨價格為主要研究對象，研究期間取自2002年1月1日至2008年12月31日止，其中，樣本內期間設為2002年1月1日至2006年12月31日，樣本外期間設為2007年1月1日至2008年12月31日，使用視窗滾動法來估計。用了不同避險績效的衡量方法，包括變異數(Variance)與半變異數(Semi-variance)、效用函數(Utility function)、風險值(VaR)、條件風險值(CVaR)以及經濟價值(Economic ...
伍智培; Wu, Chih-Pei
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
An Asymmetric Block Dynamic Conditional Correlation Multivariate GARCH Model
The Block DCC model for determining dynamic correlations within and between groups of financial asset returns is extended to account for asymmetric effects.
Vargas, Gregorio A.
core