2024-04-29 Mauritius Rupee News
2024-04-28
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
Understanding the overall trend of the exchange rates
Analyzing the dataset provided, the overall trend during the observed period appears to be generally stable, with slight fluctuations in the rates. The MUR exchange rate starts at 0.02922 at the beginning of the given period and after ups and downs eventually lands at 0.02946 by the end of the dataset. These numbers suggest rather constant rates throughout the period.
Identifying any seasonality or recurring patterns in the changes of exchange rates
From the provided time series data, there doesn't seem to be a strong pattern of seasonality or recurring patterns at a glance. The exchange rate occasionally increases and decreases, but such movements do not follow a pattern that one could attribute to specific times or seasons. It would require a more in-depth, sophisticated time-series analysis to identify any possible subtle patterns or seasonality factors potentially hidden in the data. Moreover, the dataset covers a short timeframe that may not be sufficient to make reliable judgments about seasonality or long-term patterns.
Noting any outliers or instances where the exchange rate differs significantly
The exchange rates in this dataset appear to be within a narrow range, suggesting that there aren't any significant outliers or instances of significant divergence from the general trend. However, one slightly noticeable peak is the exchange rate value of 0.02969, which stands moderately above the rest of the data points. On the other hand, rate dips down to a low of 0.02877, which can be considered as a low point in this given dataset.
In conclusion, the dataset presents a fairly stable MUR exchange rate during the observed period with slight fluctuations. However, no clearly identifiable seasonal patterns or significant outliers could be detected from the dataset provided. An extended period dataset might offer more insights and enable the identification of patterns.