2024-05-07 Azerbaijanian Manat News
2024-05-06
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
Data Analysis Methodology
Upon making a detailed study of the data, it becomes evident that this is a typical time-series data set with continuous data points indexed in time order. We will be employing exploratory data analysis to have an overall idea of the trends, seasonality and outliers.
Overall Trend
Across the provided period, the general trend of the AZN exchange rate appears to be fluctuating with no noticeable long-term increase or decrease. The values predominantly range between approximately 0.80 and 0.81. However, it should be noted that a detailed statistical analysis would be required to definitively determine the nature of this trend.
Seasonality
Based on the provided data, it is difficult to confirm any definite seasonality or recurring patterns in the exchange rates. To determine if there are some recurring fluctuations that take place on a regular basis throughout the data, further sophisticated analysis such as decomposition of the time series or spectral analysis should be performed.
Outliers
Notable outliers in this dataset appear to be the values that considerably deviate from the typical range of 0.80 to 0.81, for instance, the values 0.78471, 0.77722, 0.79438 and 0.79441. These values are significantly lower compared to the majority of the readings. Another interesting point of attention is the two instances of jumps to 0.8271 and 0.82927, providing potential subjects for further investigation. It is important to keep in mind, however, that these outliers are determined visually from the data provided, and a proper statistical test is needed to confirm them as true outliers.
To sum up, this analysis provides a detailed review of the time series data for the AZN exchange rate over a given period. It should be noted that while this analysis provides some insights into the data, further statistical analysis and data modeling might be required for comprehensive understanding, especially to figure out the cause and effect relationship between the currency and different affecting factors.
