2024-05-13 Zambian Kwacha News
2024-05-12
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
1. Understanding the Overall Trend of Exchange Rates
Upon analyzing the given dataset, it is observed that over the indicated period, the exchange rates tend to decrease gradually. The initial exchange rate is 0.05493 on 2024-04-12 and the final reading in the dataset is 0.04993 on 2024-05-10, indicating a gradual downward trend.
2. Seasonality or Recurring Patterns
While the general trend of the dataset indicates a decrease in exchange rates, there are also several notable patterns of fluctuation within this trend. This shows the underlying volatility of the exchange rate. Significant intra-day variations are observable, possibly indicating that the ZMW exchange rate may be affected by daily market operations. However, the data does not appear to show a clear weekly, monthly, or yearly seasonal pattern based on the available data. Or at least, any potential seasonality is not straightforward or dominant enough to go beyond the general decremental trend. Therefore, additional data or more granular data might be needed to identify seasonality in this case.
3. Outliers and Notable Instances
As the data mainly suggests a general downward trend without a clear seasonal pattern, the outliers in this data could be considered when the ZMW exchange rate shows sudden and significant increases or decreases. There are several instances where the exchange rate counters the overall downward trend and increases. Some sudden drops in the rate are also observable that seem to go beyond the normal trend pace. These sudden changes can be considered as outliers within the trend.
However, as financial data is subject to a multitude of influential factors – many of which can be volatile and unpredictable – these outliers are not entirely unexpected and may not be 'outliers' in a traditional statistical sense. Therefore, whilst they can be noted, it would be necessary to understand the reasons behind these fluctuations to determine whether they represent a significant anomaly in the data or not.