South Korea holds a snap presidential election on Tuesday, 3 June, two years ahead of schedule. The election takes place at a time of heightened political, security, and economic tensions for South Korea, with two strongly opposing views of the country’s future offered by the main candidates. Under the presidency of Yoon Suk-yeol, South Korea moved to significantly bolster relations with the US and Japan as a bulwark against China in the region. The outcome of this election could see a moderation in this stance should the defeated 2022 candidate Lee Jae-myung win, or an acceleration under foreign policy hawk Kim Moon-soo.
In this briefing, we offer scenario analysis of the most likely election outcomes, with assigned probabilities. The briefing also contains a short explanation on how South Korean presidential elections work and how the course of the election should progress on election night, information on the main candidates contesting the vote, and an opinion polling and betting market chartpack.
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From state-level data that equates to 89.1% weighting of the national April flash German CPI print (due at 13:00 GMT / 14:00 CET), MNI estimates that national CPI (non-HICP print) rose by around 0.4% M/M (prior 0.3%) and rose 2.1-2.2% Y/Y (prior 2.2%). See the tables below for full calculations.
Y/Y | April (Reported) | March (Reported) | Difference |
North Rhine Westphalia | 1.8 | 1.9 | -0.1 |
Hesse | 2.3 | 2.4 | -0.1 |
Bavaria | 2.1 | 2.3 | -0.2 |
Brandenburg | 2.2 | 2.3 | -0.1 |
Baden Wuert. | 2.4 | 2.2 | 0.2 |
Berlin | 1.9 | 1.9 | 0.0 |
Saxony | 2.4 | 2.5 | -0.1 |
Rhineland-Palatinate | 1.9 | 2.0 | -0.1 |
Lower Saxony | 2.2 | 2.4 | -0.2 |
Saarland | 1.9 | 2.0 | -0.1 |
Saxony-Anhalt | 2.9 | 2.9 | 0.0 |
Weighted average: | 2.11% | for | 89.1% |
M/M | April (Reported) | March (Reported) | Difference |
North Rhine Westphalia | 0.4 | 0.3 | 0.1 |
Hesse | 0.5 | 0.4 | 0.1 |
Bavaria | 0.4 | 0.3 | 0.1 |
Brandenburg | 0.4 | 0.4 | 0.0 |
Baden Wuert. | 0.5 | 0.2 | 0.3 |
Berlin | 0.3 | 0.6 | -0.3 |
Saxony | 0.5 | 0.6 | -0.1 |
Rhineland-Palatinate | 0.4 | 0.2 | 0.2 |
Lower Saxony | 0.3 | 0.3 | 0.0 |
Saarland | 0.0 | 0.2 | -0.2 |
Saxony-Anhalt | 0.5 | 0.7 | -0.2 |
Weighted average: | 0.43% | for | 89.1% |