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Published in 2024 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2879
Abstract: In this article, we aim to provide a detailed econometric analysis of the realized volatility in international stock markets of Brazil, China, Europe, India, the United Kingdom, and the United States, which represent a mix…
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Keywords:
financial crisis;
stock markets;
volatility;
functional data ... See more keywords
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Published in 2025 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.70042
Abstract: We analyze the role of leverage, lower and upper tail risks, skewness, and kurtosis of real gold returns in forecasting its volatility over the annual data sample from 1258 to 2023. To conduct our forecasting…
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Keywords:
1258 2023;
role moments;
gold returns;
volatility ... See more keywords
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Published in 2025 at "Corporate Social Responsibility and Environmental Management"
DOI: 10.1002/csr.3225
Abstract: This study investigates the resilience of Environmental, Social, and Governance (ESG) investments during periods of financial instability, comparing them with traditional equity indices of the three largest economies in the European Union by gross domestic…
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Keywords:
volatility;
resilience esg;
esg;
esg investments ... See more keywords
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Published in 2019 at "European Journal of Inorganic Chemistry"
DOI: 10.1002/ejic.201901087
Abstract: Atomic layer deposition (ALD) of gold is being studied by multiple research groups, but to date no process using non-energetic co-reactants has been demonstrated. In order to access milder co-reactants, precursors with higher thermal stability…
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Keywords:
volatility;
ligand;
vapor deposition;
deposition ... See more keywords
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Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2463
Abstract: This paper uses high-frequency continuous intraday electricity price data from the EPEX market to estimate and forecast realized volatility. Three different jump tests are used to break down the variation into jump and continuous components…
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Keywords:
realized volatility;
volatility;
intraday electricity;
continuous intraday ... See more keywords
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Published in 2017 at "Journal of Forecasting"
DOI: 10.1002/for.2466
Abstract: We examine whether it is possible to improve volatility forecasts by simultaneously accounting for parameter instability and model uncertainty. Changes in the regression coefficients and/or the error variance are driven by mixture distributions for state…
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Keywords:
volatility;
stock market;
modeling forecasting;
mixture ... See more keywords
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Published in 2020 at "Journal of Forecasting"
DOI: 10.1002/for.2648
Abstract: This study introduces volatility impulse response functions (VIRF) for dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity (DCC‐GARCH) models. In addition, the implications with respect to network analysis—using the connectedness approach of Diebold and Y ιlmaz (Journal…
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Keywords:
impulse response;
volatility impulse;
volatility;
analysis ... See more keywords
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Published in 2021 at "Journal of Forecasting"
DOI: 10.1002/for.2815
Abstract: Forecasting oil price volatility is considered of major importance for numerous stakeholders, including, policy makers, industries and investors. This paper examines and evaluates the main factors that oil price volatility forecasters should take before constructing…
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Keywords:
price volatility;
oil price;
volatility;
forecasting ... See more keywords
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Published in 2024 at "Journal of Forecasting"
DOI: 10.1002/for.3146
Abstract: Most existing studies on volatility forecasting have focused on interday characteristics and ignored intraday characteristics of high‐frequency data, especially the asymmetric impact of positive and negative jumps on volatility. In this paper, 5‐min high‐frequency data…
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Keywords:
positive negative;
volatility forecasting;
forecasting incorporating;
volatility ... See more keywords
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Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70009
Abstract: This study examines the effectiveness of different predictors to forecast volatility of E7 emerging markets. First, we employ the economic uncertainty factors information to find out the economic impact on stock market volatility. Second, we…
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Keywords:
market volatility;
market;
volatility;
emerging markets ... See more keywords
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Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70011
Abstract: Using overnight volatility as the proxy for overnight information, this paper models future Chinese stock market realized range–based volatility (RRV) within a class of heterogeneous autoregressive models augmented by this proxy. We confirm the important…
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Keywords:
information;
market;
volatility;
overnight information ... See more keywords