How do financial and commodity markets volatility react to real economic activity?
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DOI: 10.1016/j.frl.2022.102733
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Cited by:
- Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2024. "Global macroeconomic factors and the connectedness among NFTs and (un)conventional assets," Research in International Business and Finance, Elsevier, vol. 71(C).
- Gozgor, Giray & Khalfaoui, Rabeh & Yarovaya, Larisa, 2023.
"Global supply chain pressure and commodity markets: Evidence from multiple wavelet and quantile connectedness analyses,"
Finance Research Letters, Elsevier, vol. 54(C).
- Rabeh KHALFAOUI & Giray Gozgor & Larisa Yarovaya, 2023. "Global supply chain pressure and commodity markets: Evidence from multiple wavelet and quantile connectedness analyses," Post-Print hal-04144035, HAL.
- Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
- Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
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More about this item
Keywords
Economic activity; Energy market; Stock market; Precious Metals; Asymmetric shocks Spillover; Wavelets; time-frequency domain;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
Statistics
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