2024-04-22 Cuban Peso 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
General Trend Analysis
After reviewing the given dataset, it appears that the exchange rates depicted show a relatively stable trend throughout the timeframe. There isn't a clear standard upward or downward progression across the entire dataset. However, there are several minor fluctuations in the exchange rates. For instance, the rate starts at 0.05118, rises slightly to peak at around 0.05133, and then falls back to 0.05104. After that, it experiences several peaks and troughs till reaching 0.05201. Then it sees a dip, reaching a lowest point of 0.05088 but rises back again to 0.05219. It’s followed by few fluctuations till it stabilizes at 0.05186. Due to equal and opposite fluctuations, rates appear to show significant consistency and stability.
Seasonality and Recurring Patterns
While it's challenging to definitively identify any clear patterns or seasonalities in the dataset due to no distinctive cyclical change over the period under review, there appear to be instances of short-term cyclic patterns within more limited timeframes. These cycles of exchange rate increases and decreases seem to repeat at many intervals, suggesting a degree of recurrence at those periods. However, these observations are inconclusive and may not stand up to statistical tests for seasonality due to rather contradictory fluctuations.
Outliers and Significant Changes
There aren't many apparent outliers in the exchange rate values. Most values tend to range between 0.05088 and 0.05219, which indicates a relatively stable exchange rate within this range. However, There is a noticeable jump in the rates data on '2024-04-10'. The rate significantly jumps from 0.05116 to 0.0515, followed by a continued increase, reaching 0.05166. Then it fluctuates around this raised value for a period before again going back to initial stable range. This sudden, somewhat significant hike can be considered unusual based on the data trend.
To conclude, this confounding data indicates the need for more intricate volatility models to understand the intricate dynamics of the rates. For example, Garch models are particularly useful for financial time series with complex patterns.
