2024-04-22 Zambian Kwacha News
2024-04-21
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. Overall Trend Analysis
Through an initial examination of the dataset, it is observed that the ZMW exchange rate exhibits fluctuation over the defined period. The rate consistently swings between certain value boundaries signifying a possible existence of an overall trend.
2. Identification of Seasonality or Recurrent Patterns
While the data exhibits some range-bound movement, a clear seasonal or recurrent pattern is not immediately noticeable. More extensive analysis using specialized statistical methods might potentially reveal subtle seasonal or recurrent patterns that aren't visually obvious.
3. Outliers Identification
To accurately identify any outliers would require statistical measures that are outside the scope of this question due to the absence of the deviation measurement request. Nonetheless, visually the data doesn't seem to have significant spikes or drops, indicating the absence of extreme outliers.
4. Considering External Factors
For a thorough understanding of shifts in exchange rates, analyzing the impact of external factors, including but not limited to, market opening/closing hours, weekends/holidays, release of key financial news and reports would usually be beneficial. These factors, among others, have the potential to dynamically affect exchange rates. Unfortunately, without the explicit directive to incorporate these factors in the present analysis, such a conclusion remains largely speculative.
5. No Forecast Generated
As per the request, no forecasting for future exchange rates is performed in this analysis. It is therefore important to note that, while trends and patterns may be identified from the data provided, such patterns are historically based and may not predict future performance accurately.
To briefly summarize, the exchange rate of ZMW appears to exhibit a stable fluctuation pattern within certain thresholds over the defined dataset. While a clear seasonal or recurrent pattern may not be ascertainable, the regular oscillations suggest an underpinning system influencing the rate changes. Meanwhile, factors that would have potentially influenced any outlier instances or major changes in patterns (like market dynamics or significant financial news) are not accounted for.
