Rate Story

Exchange rate fluctuations, whose fault?

Today's EUR/CNY Exchange Rate: Which Currency is to Blame? AI Analysis

Current Rate

1 EUR =7.9993CNY
+0.14%Day Change

As of 2026年4月29日

Whose Fault?

CNY's fault
26%
74%
EUR's fault

AI Analysis

On April 29, 2026, the EUR/CNY exchange rate closed at 7.9993, representing a daily increase of 0.145%. This movement indicates a strengthening of the Euro against the Chinese Yuan. The price action was primarily driven by the Euro, which accounted for 74% of the attribution, compared to 26% from the CNY. This shift reflects broader market sensitivity to developments within the Eurozone, potentially linked to shifting expectations regarding European Central Bank (ECB) monetary policy and its impact on inflation control, which often dictate Euro performance.

Analyzing the mid-to-long-term trends, the market has shown varying degrees of stability. Over the past week, the rate has been relatively choppy, with an efficiency score of 0.10 and a volatility (standard deviation) of 0.21%. This suggests a lack of a clear, sustained directional trend. Looking at the 6-month and 1-year horizons, the pair has experienced a decline of -2.71% and -3.29% respectively. These longer periods are characterized by higher volatility—0.31% over six months and 0.36% over one year—and very low efficiency scores (0.09 and 0.05), indicating a market marked by significant, directionless fluctuations rather than a stable, straight-line trend.

For those managing finances between these regions, this data highlights a complex environment. Recent reports underscore that Chinese authorities are emphasizing the importance of keeping the Yuan "basically stable," aiming to balance economic growth with currency management. Meanwhile, interest rate differentials remain a critical factor; as the ECB and the People's Bank of China (PBoC) navigate different economic landscapes, these policy divergences continue to influence the relative value of both currencies, contributing to the ongoing market choppiness observed in the data.

Historical Chart