2024-05-17 Malagasy Ariary News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of the Exchange Rate Data
Based on the provided dataset, we can carry out an extensive analysis of the chronological occurrences encapsulated within it. The objective is to identify the overall trend of the exchange rates, any inherent seasonality or repeating patterns, and any notable outliers. Please note that the examination won't take into account individual events, market timings, weekends/holidays, or the dissemination of any key financial news and reports.
1. Overall Trend of the Exchange Rates
The exchange rate for MGA over the data's duration appears to be remarkably stable. The rate remains constant at 0.00031 without any discernible rise or fall during the timescale covered by the dataset. In other words, we can establish that there has been neither depreciation nor appreciation of the exchange rate over the data's course.
2. Seasonality or Recurring Patterns
Due to the unchanging nature of the exchange rate presented in the dataset, it's challenging to determine any seasonality or recurring patterns in the changes of the exchange rate. It remains at 0.00031 throughout, without any visible fluctuations that might suggest a pattern or cyclical trend.
3. Outliers in the Data
From a quick observation of the dataset, there don't appear to be any outliers. The MGA exchange rate consistently maintains the value of 0.00031 throughout all given timestamps. This means that there's no instance where the exchange rate differs significantly from the average rate, and hence no outliers were identified in this dataset.
In conclusion, this dataset represents a highly stable exchange rate scenario for MGA, with no significant fluctuations, recurring patterns, or outliers observable based on the provided data. It might be beneficial to extend the analysis to include more variables, such as volume of transactions or related market factors, for a more dynamic representation of the financial state. Also, a broader or different timescale could lead to more revealing findings about exchange rate behavior.