2024-04-22 Mauritius Rupee 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 of Exchange Rates
Looking at the overall data set, we can observe that the exchange rate of MUR has seen some fluctuation from 0.02877 to 0.02975. Hence, there is no definitive overall trend of drastic increases or decreases. It seems to be slightly fluctuating around a common central rate. However, for more precise recognition of ascending or descending trends, more advanced analytical techniques like regression lines would be needed.
Seasonality or Recurring Patterns
The dataset does not cover an entire year's span, so determining annual seasonality is not possible. Similarly, within the limits of the data covered, we don't have enough data points for each timestamp to derive any daily patterns. A weighted moving average analysis might reveal some short term repeated pattern but it's uncertain. However, there might be some intra-day patterns to be found given the data frequency is high within a day (every 2 hours). But for proper recurring pattern identification, more complex statistical tests should be performed.
Outliers in Exchange Rates
An apparent outlier in this dataset seems to be the relatively high value of 0.02975 on 2024-04-11 10:00:02 and a low value of 0.02877 on 2024-04-15 08:00:02. Other potential outliers can't be identified without rigorous statistical tests such as Z-scores, which are commonly used to find outliers in such datasets.
Due to the absence of external factors (such as major economic announcements or global events) and based on the narrow fluctuation range, these variations might just be part of the normal fluctuation of this currency pair and might not be "true" outliers in a statistical sense.
In conclusion, this preliminary analysis helps to get a high-level view of exchange rate fluctuations. For more accurate insights, we need to perform more in-depth analysis utilising appropriate statistical and econometric methods.