2024-05-06 Peso Convertible News
2024-05-05
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
Overall Trend of Exchange Rates
The overall trend of the exchange rates provided in this time-series data appears to experience both rising and falling trends throughout the period. It starts from a rate of around 1.35682 and ends around 1.36861, indicating a slight increase during this period. However, it fluctuates quite significantly during this period, indicating that it is not a stable increase. Maximum within the period reaches around 1.38291 whereas minimum dives down around 1.35572, these moments can be seen as peaks and troughs.
Seasonality and Recurring Patterns
The time-series data provided doesn't seem to have a clear pattern of seasonality or over regular intervals. This might be due to the nature of the foreign exchange market which is subject to various kinds of economic, political, and social factors which are difficult to predict. However, the existence of any seasonality trends or recurring patterns might need a more sophisticated time-series analysis model to examine.
Outliers and Extreme Values
There could be several potential outliers or extreme values that need to be considered. However, it is difficult to precisely identify them without visual inspection and further statistical analysis. Therefore, it is recommended to apply outlier detection methods or visualizations to clearly identify these outliers.
Conclusion
In conclusion, the exchange rate shows a general increase despite significant fluctuations. A detailed pattern is indistinguishable from this raw data. Any instance of high volatility can be suspected as outliers, and further statistical methods should be applied to confirm. Notes must be taken to consider these findings as according to the exchange rate behaviour which does not always follow a deterministic pattern due to an array of influencing factors.