Results 111 to 120 of about 42,233 (256)
Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)
Journal of Forecasting, EarlyView.ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang +2 more
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.
core
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
An investigation into using news analytics data in GARCH type volatility models [PDF]
, 2012 This thesis was submitted for the degree of Master of Philosophy and awarded by Brunel University.In the work we study different dynamic volatility models.
Sidorov, Sergey P
core +2 more sources
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
core
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
From Discrete to Continuous: Modeling Volatility of the Istanbul Stock Exchange Market with GARCH and COGARCH [PDF]
The objective of this paper is to model the volatility of Istanbul Stock Exchange market, ISE100 Index by ARMA and GARCH models and then take a step further into the analysis from discrete modeling to continuous modeling.
Yildirim, Yavuz, Unal, Gazanfer
core
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
Accurate value-at-risk forecast with the (good) old normal-GARCH model [PDF]
, 2006 A resampling method based on the bootstrap and a bias-correction step is developed for improving the Value-at-Risk (VaR) forecasting ability of the normal-GARCH model.
Hartz, Christoph +2 more
core
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