Results 151 to 160 of about 72,454 (299)
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
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
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
FRS17 and the Sterling Doubles A Corporate Yield Curve [PDF]
The skewness in physical distributions of equity index returns and the implied volatility skew in the risk-neutral measure are subjects of extensive academic research.
Frank Skinner, Michalis Ioannides
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Forecasting Related Time Series
Journal of Applied Econometrics, EarlyView.ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley +1 more source
Forecasting stock market volatility conditional on macroeconomic conditions. [PDF]
This paper presents a GARCH type volatility model with a time-varying unconditional volatility which is a function of macroeconomic information. It is an extension of the SPLINE GARCH model proposed by Engle and Rangel (2005).
Adam Clements, Ralf Becker
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Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Outlier detection in GARCH models [PDF]
, 2005 We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier.
Jurgen A. Doornik, Marius Ooms
openaire +5 more sources
Macromolecular Rapid Communications, EarlyView.Nile Red‐loaded poly(solketal acrylate) nanoparticles enable fluorescence tracking and exhibit nontoxic profiles in retinal cells. Enhanced cellular uptake and deep retinal penetration after intravitreal injection highlight their excellent potential for targeted ocular drug delivery to the posterior segment of the eye.
Yasaman Pourdakheli Hamedani +6 more
wiley +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
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