Results 31 to 40 of about 307 (133)
Energies, 2021 The COVID-19 pandemic is having a strong influence in all areas of society, like wealth, economy, travel, lifestyle habits, and, amongst many others, financial and energy markets. The influence in standard energies, like crude oil, and renewable energies
Riccardo De Blasis, Filippo Petroni
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Exchange Markets and Stock Markets Integration in Latin-America
Revista Mexicana de Economía y Finanzas Nueva Época REMEF, 2022 We analyze the relationship between the exchange markets and the integration process of the Latin American stock markets (MILA), focusing the analysis on two points.
Jorge Andrés Muñoz Mendoza +4 more
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The effects of volatility and changes in conditional correlations in the stock markets of Russia and developed countries [PDF]
Ekonomski Anali, 2020 The aim of this article is to identify patterns of profitability volatility and to establish the degree of dynamic conditional correlation between the stock markets of developed countries and those of Russia.
Salmanov Oleg N. +4 more
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OPTIMAL HEDGE RATIO OF SUKUK AND ISLAMIC EQUITY: A NOVEL APPROACH
Journal of Islamic Monetary Economics and Finance, 2023 This research applies a novel model to compute a hedge ratio. Specifically, the model modifies volatility forecasts of an exponentially weighted moving average method to account for the fat-tailed distribution of returns.
Bayu Adi Nugroho +1 more
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Return and Volatility Spillovers Among Major Cotton Markets
Agribusiness, EarlyView.ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
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MIDAS models in banking sector – systemic risk comparison
Managerial Economics, 2018 This paper shows the application of MIDAS based models in systemic risk assessment in banking sector. We consider two popular measures of systemic risk i.e. Marginal Expected Shortfall and Delta Conditional Value at Risk. The GARCH-MIDAS model is used in
Henryk Gurgul +2 more
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A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
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Brexit and Its Impact on EU Financial Markets
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate the impact of Brexit on volatility spillovers across the EU countries. We introduce a Brexit intensity measure that assigns an intensity score reflective of the financial markets' reaction to the events that occurred as Brexit negotiations began to unfold.
Marwan Izzeldin +3 more
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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model
Вестник Российского экономического университета имени Г. В. ПлехановаThe present research proposes algorithm of assessing dynamic correlation of time series connected by TVP-regression model. Topicality of this task is stipulated by the fact that this model often describes asset behavior on finance markets, while modeling
N. A. Moiseev, G. V. Aivazian
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Cogent Economics & Finance, 2016 This paper empirically compares the usefulness of information included in the volatility index (VIX) against several generalized autoregressive conditional heteroskedasticity (GARCH) models for predicting downside risk in the US stock market.
Chikashi Tsuji
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