Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. [PDF]
Kim HS, Kim DH, Choi SY.
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Electricity and cryptocurrency mining: An empirical contribution. [PDF]
Okorie DI, Gnatchiglo JM, Wesseh PK.
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Spatiotemporal patterns and drivers of coupling coordination between digital technological innovation and economic resilience in the Yangtze river economic belt. [PDF]
Guo L, Liu K.
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Optimizing microgrid operations with consideration of energy conservation and emission reduction benefits in spatial econometrics. [PDF]
Zhao B, Guan X, Tao X, Bai Z, Gao S.
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Testing for the footprints of stabilization economic policy in forecast errors. [PDF]
Charemza W +4 more
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Empirical analysis of the correlation between China's Macroeconomic Market and Crude Oil Market based on mixed-frequency group factor model. [PDF]
Zhao J, Yin J.
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Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance
Salvagnin C +4 more
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Simultaneous Volatility Transmission and Spillover Effects [PDF]
Simultaneous volatility models are developed and shown to be separate from multivariate GARCH estimators. An example is provided that allows for simultaneous and unidirectional volatility and volume of trade effects. These effects are tested using intraday data from the Australian cash index and index futures markets.
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Volatility spillovers and the effect of news announcements
Journal of Banking & Finance, 2012We examine the effect of US and European news announcements on the spillover of volatility across US and European stock markets. Using synchronously observed international implied volatility indices at a daily frequency, we find significant spillovers of implied volatility between US and European markets as well as within European markets. We observe a
George J. Jiang +2 more
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Volatility spillover effects in interbank money markets
Review of World Economics, 2016Using daily data from 2006 to 2015, this paper applies alternative multivariate GARCH models and a modified version of the spillover index methodology proposed by Diebold and Yilmaz (Int J Forecast 28(1):57–66, 2012) to test the existence of shock and volatility contagion effects across interbank money markets.
Pedro Pires Ribeiro, José Dias Curto
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