2024-04-17 Mauritius Rupee News
2024-04-16
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 Analysis
The exchange rate (MUR) data provided ranges from approximately 0.02948 to 0.02971. The rate doesn't seem to fluctuate drastically, as the lowest and highest values differ by only a very small amount. The changes are of the order of thousandth place, indicating a fairly stable exchange rate over the period shown. However, the subtle fluctuations certainly play a significant role in financial analysis and decision making.
Seasonality or Recurring Patterns
Regarding the exploration of potential seasonality or recurrent patterns, the dataset doesn't provide clear evidence of such. There are fluctuations, but they do not appear to follow a distinctly identifiable pattern at specific periods. This may be due to the fact that the dataset represents a single day, and patterns in financial data often emerge when looking over longer periods. Shinier patterns might emerge with longer-term data or with more granular breakdowns such as hourly averages.
Identification of Outliers
From the provided data, the fluctuation trend suggests there aren't any severe outliers or instances where the exchange rate strays significantly from expectation. However, without more context or a defined range of expectation, it's difficult to definitively identify outliers based on this dataset alone. It would be beneficial to compare this data to broader trends, perhaps on a monthly or yearly basis, to identify any potential outliers more accurately.
In conclusion, while the dataset displays subtle fluctuations in the exchange rate, there aren't clear trends or outliers that stand out within this one-day period. Longer-term or more granular data may provide more insights into the behavior of this exchange rate. It's important to remember that a multitude of factors could influence these rates, including those not considered in this analysis such as economic events, market opening and closing times, and weekends or holidays.