2024-05-20 Belarussian Ruble News
2024-05-19
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
Firstly, let's observe the data given. It spans from April 19, 2024, through May 17, 2024. The currency exchange rate appears to remain constant at 7.0E-5 throughout this period.
1. Understanding the overall trend of the exchange rates
The overall trend of the exchange rates is stable. There doesn't appear to be any increase or decrease in rates during the given period, as the value of 'byr' remains constant at 7.0E-5. It implies that the currency's purchasing power, relative to the other currency in the exchange rate equation, does not change. This is a somewhat unusual trend, considering that most currencies tend to fluctuate in value over time due to various economic factors.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
Since the exchange rate is constant, there is no clear seasonality or recurring pattern in the changes of exchange rates. Generally, seasonality would suggest systematic, recurrent fluctuations in the data, but in this case, such seasonal effects are not apparent because the exchange rate does not change.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
As mentioned earlier, the exchange rate in the provided data remains unchanged, as such there are no instances where the exchange rate deviates from the overall trend. Therefore, no outliers can be identified from this dataset. Normally, an outlier would be a data point that differs significantly from other observations, but in this dataset, every observation matches the unchanged exchange rate.
Overall, given that the exchange rate is fixed throughout the period in question, it is difficult to draw conclusions about trends, patterns, or outliers based solely on this dataset. A wider dataset or additional data on other potentially influential factors would be needed to provide a more comprehensive analysis.