2024-05-09 Namibia Dollar News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview: Trend in the Exchange Rates
Upon analyzing the data, it is observed that there are minute fluctuations in the exchange rates of NAD over the time period provided. However, such fluctuations appear to be part of a larger wave-like trend. It indicates that while the rates display minor changes -- rising and falling within a small range -- they persistently return to the same median value. Any fair deviations from the value are not visibly significant or lasting. This indicates that the overall trend of the NAD exchange rates within this dataset is stable.
Seasonality or Recurring Patterns
As for recurring patterns, the dataset does not seem to provide clear evidence of meaningful seasonality in the exchange rates. The consistent fluctuations suggest that the rates are more likely influenced by a myriad of factors rather than displaying a predictable seasonal pattern. Therefore, further analysis is necessary to identify any specific seasonal trends or to acknowledge the lack of them, possibly through the application of advanced time-series analysis techniques.
Identified Outliers in the Dataset
Inspecting the dataset for outliers, there do not appear to be any instances where the exchange rate differs greatly from the established trend within the timeframe provided. This could imply that there may have been no major economic events impacting the exchange rate during this period. It is also possible that the range of the dataset -- in terms of the time span or the granularity of collected data -- might be limited for identifying and analyzing any potential outliers.
To conclude, the exchange rate of the NAD, according to this dataset, remains relatively stable with regular minor fluctuations. There are no obvious signs of recurring seasonal trends or significant outliers. Please note that these findings are solely based on the dataset provided and do not take any external factors into account such as global financial news or events.