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Does monetary policy impact international market co-movements?. (2020). Pelizzon, Loriana ; Caporin, Massimiliano ; Plazzi, Alberto.
In: SAFE Working Paper Series.
RePEc:zbw:safewp:276.

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  1. Monetary policy and Bitcoin. (2023). Karau, Soren.
    In: Journal of International Money and Finance.
    RePEc:eee:jimfin:v:137:y:2023:i:c:s0261560623000815.

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  2. Dissecting the yield curve: The international evidence. (2022). Plazzi, Alberto ; Berardi, Andrea.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:134:y:2022:i:c:s0378426621002429.

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  3. Monetary policy and Bitcoin. (2021). Karau, Soren.
    In: Discussion Papers.
    RePEc:zbw:bubdps:412021.

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References

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  58. Overall, the cross-sectional dispersion is much higher for Emerging markets, and shows pronounced spikes exceeding 5% during the major events in the sample. The volatility of EMU countries returns during the sovereign debt crisis is at comparable levels to the 2008-2009 period, and remains high in the last part of the sample. In contrast, the dispersion in returns for developed markets ex-EMU shows a declining trend after 2012 and hovers around lower values. The fact that Emerging markets display rich (heterogeneous) cross-sectional dynamics underscores the potentials for looking at the transmission of monetary policy shocks toward these countries. The bottom figures plot the time series of equally-weighted average sovereign CDS spread (black thick line). The differences across the three groups of countries are even more pronounced.
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  64. Results are presented when pooling all event days (column ‘All’), for ex-event days (column ‘No’), and when breaking down the events into those where the change in the first principal component of the Euro (resp., U.S.) yield curve falls either below the first tercile (‘Low’) or above the second tercile (‘High’). Results are reported across: All countries, EMU countries, Developed countries ex-EMU, all Emerging countries, Emerging countries in Europe&Middle East, Emerging countries in Asia&Pacific, Emerging countries in Americas, and two equally-weighted Developed Markets and Emerging Markets indices. Row ‘Q ( y)’ reports the tercile (in basis points) of the change in the first principal component of the yield curve. Entries whose difference with the ex-event sample is significant at least at the 10% level are marked in bold. The full sample consists of daily observations from August, 2007 to November, 2015.
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  76. The full sample consists of daily observations from August, 2007 to November, 2015.
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  77. The top plot of the figure displays the cumulative, equally-weighted average equity return (black thick line) separately computed across EMU countries (left plot), Developed markets exEMU (middle plot), and emerging markets (right plot). The vertical dotted lines mark the end of the periods considered. We note broadly similar patterns across groups, with a sharp decline in valuations during the crisis followed by a recovery towards the end of 2010, the turmoil of the European sovereign debt crisis (which is especially pronounced in EMU countries), and the increase in valuations in the last part of the sample reaching levels above the pre-crisis period. To give a sense of the cross-sectional distribution within countries of a given group, we plot the cross-sectional standard deviation (blue dotted line) on a common scale across the three groups.
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