Results 131 to 140 of about 38,888 (250)
QML estimation of a class of multivariate GARCH models without moment conditions on the observed process [PDF]
We establish the strong consistency and asymptotic normality of the quasi-maximum likelihood estimator of the parameters of a class of multivariate GARCH processes. The conditions are mild and coincide with the minimal ones in the univariate case.
Francq, Christian, Zakoian, Jean-Michel
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International Journal of Finance &Economics, EarlyView.ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
A multivariate generalized independent factor GARCH model with an application to financial stock returns [PDF]
We propose a new multivariate factor GARCH model, the GICA-GARCH model , where the data are assumed to be generated by a set of independent components (ICs).
Antonio García-Ferrer +2 more
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International Journal of Finance &Economics, EarlyView.ABSTRACT This paper investigates the intricate relationship between climate policy uncertainty (CPU) and energy market dynamics, focusing on fossil‐based and renewable/low‐carbon energy assets. Utilising a comprehensive dataset spanning from April 1987 to December 2023, comprising monthly observations of CPU, stock market returns, spot oil prices and ...
Dimitrios Asteriou, Anastasia Dimiski
wiley +1 more source
Parameter estimation in nonlinear AR–GARCH models [PDF]
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
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Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
International Journal of Finance &Economics, EarlyView.ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets
International Journal of Finance &Economics, EarlyView.ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris +2 more
wiley +1 more source
Global Oil and Gas Stocks: Anomalies, Systematic Risks and Mispricing
International Journal of Finance &Economics, EarlyView.ABSTRACT We analyse anomaly and factor risk premia in the global oil and gas (OG) sector, which plays a central role in the global economy through its importance for energy supply, industrial production, and capital markets. Using firm‐level and portfolio data, we examine whether cross‐sectional return patterns reflect systematic risk compensation or ...
Nader Virk +3 more
wiley +1 more source
International Studies of Economics, EarlyView.Abstract This paper examines the link between climate risk, energy consumption, and financial market performance in a sample of emerging countries over the period 2000–2024. The objective is to model the dynamic interactions between these three dimensions, in order to understand the extent to which energy dependence and exposure to climate risks ...
Abdelkader Mohamed Derbali
wiley +1 more source
A Range-Based GARCH Model for Forecasting Volatility [PDF]
A new variant of the ARCH class of models for forecasting the conditional variance, to be called the Generalized AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) Model, is proposed.
Mapa, Dennis S.
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