2024-04-22 SDR (Special Drawing Right) News
2024-04-21
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Looking at the provided dataset, it is observed that XDR exchange rates have been relatively unstable between March 22, 2024, and April 19, 2024. The rates hovered between ~1.79 to ~1.83, indicating a minimal increase of about 0.04 over the period. This trend can be divided into smaller trends: from a slight increase at the start (March 22 - March 26), a decrease towards the end of March, a rise at the start of April, another decrease towards mid-April, and a noticeable increase from April 10 onwards, followed by a slight decrease near the end of the period.
Seasonality and Recurring Patterns
Though complex patterns often require in-depth statistical analysis, a preliminary review of the data does not seem to suggest an overt seasonality or recurring patterns in the exchange rates, at least within the timeframe provided. The absence of a recurring pattern could be explained by the fact that currency exchange rates, like XDR, are typically influenced by various unpredictable factors, including geopolitical events, economic indicators, and market speculation.
Outliers Detection
There were a few times where the exchange rates significantly deviated from the overall trend. For instance, on April 10, a sharp increase in the rate to ~1.81 from ~1.80 could be considered an outlier. It then spiked to ~1.82 on April 12, a few days after. These outliers could potentially be the result of drastic economic changes or significant events in the global financial markets. However, as per the instructions, these external factors were not taken into consideration for this analysis.
Please note that the above analysis was done assuming the increases and decreases as straightforward. A detailed analysis involving standard deviation and mean value would be needed to define the exact thresholds that define an outlier.