2024-04-23 CFA Franc BEAC News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of XAF Exchange Rate Time Series Data
Looking at the dataset provided, the first step in the analysis was to inspect the data and understand the high-level behavior of the exchange rates.
1. Trend Analysis
Throughout the data, the XAF exchange rate remained remarkably stable. There is a small range of fluctuation, between 0.00222 and 0.00223. The rate started at 0.00223, decreased slightly to 0.00222 at around midway through the dataset, and then increased back to 0.00223 towards the end. However, it is worth noting that the overall decrease and increase were very minimal, suggesting a generally steady exchange rate during this time period.
2. Seasonality and Recurring Patterns
Since the dataset provided spans over a short period, it might be difficult to discern clear seasonality or recurring patterns. However, no evidence of seasonality or recurrent behavior is found in the data provided. The XAF exchange rate remained consistent throughout the day with minor fluctuations. Larger dataset with data over months or years might be required to understand any seasonality or recurrent patterns.
3. Outliers and Notable Instances
No outlier or significant instance was noted in the provided dataset. The fluctuations stayed in the tight range of 0.00222 to 0.00223, and there were no extreme shifts that could be considered outliers. This suggests that the exchange rate remained relatively stable and predictable during this timespan.
In conclusion, based on the provided dataset, the XAF exchange rate remained remarkably consistent, with minor fluctuations throughout the period. There is no evidence suggesting any seasonality or recurrent patterns, and no outliers were identified. It would be recommended that for a more comprehensive analysis, data over longer durations should be acquired, which would allow for a more complete analysis encompassing seasonal patterns, trends, and outliers.