2024-05-10 Mauritius Rupee News
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of MUR Exchange Rates
Having analyzed the timestamped MUR exchange rates, the overall trend shows minor fluctuations with a slight upward trend - this is evidence by an increase from 0.02960 up to 0.02975 over the course of the period. This indicates some level of overall stability in the value of MUR against the reference currency, although it's not entirely static.
Seasonality in Exchange Rates
Seasonality can be a crucial factor in time series data as it indicates recurring patterns or trends that occur at regular intervals. In this dataset, however, it's challenging to conclusively identify any apparent seasonality due to the data only covering a single day. For establishing seasonality with time-series data such as this, we'd usually want to observe patterns across a more extended period, perhaps across multiple weeks, months or even years.
Identification of Outliers
An outlier in this context would be an instance where the MUR exchange rate significantly departs from the overall trend line. In this dataset, there is no distinct, significant deviation from the observed trend seen. The exchange rate remains within a close range, with the lowest value being 0.02960 and the highest value 0.02975. As such, it could be concluded that there are no significant outliers in this data, indicating no drastic fluctuations in the exchange rate for this day.
Additional Factors
It's worth noting that while you explicitly asked not to consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, such features can hugely impact financial time-series data such as exchange rates. Hence, in a broader analysis or forecast, it would be critical to consider.
Conclusion
In conclusion, the MUR exchange rate demonstrates a slight upward trend throughout the day with minor fluctuations without any significant outliers. For more in-depth insights and to identify seasonal patterns, data representing a larger time span would be beneficial.