2024-04-16 Bulgarian Lev News
2024-04-15
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 the dataset
This comprehensive analysis of a provided dataset focuses on time series data, indicating changes in exchange rates (BGN) at specific timestamps. The goals included an examination of the overall trends, identification of seasonality or recurring patterns, and observation of any outliers in the exchange rates. For the purpose of this analysis, we didn't consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Also, noting no specific event has been taken into account and no forecasts for future rates are made. The below points summarize the results of this analysis:
1. Understanding the Overall Trend
Through a careful analysis of the dataset, it was observed that the exchange rates generally show a variable trend over the period shown. The rate goes through a series of hikes and falls, but overall, there isn't a definitive constant increase or decrease throughout the dataset. To get a more clear understanding, a detailed time series chart could be plotted to illustrate the fluctuation over time.
2. Identifying Seasonality
In terms of seasonality, it is quite challenging to pin down any recurring patterns just from a raw numeric analysis, primarily due to the numerous factors impacting exchange rates. However, time-series analysis techniques can be employed to more effectively detect patterns if they exist.
3. Noting Outliers
There are certain instances where the exchange rate differs significantly from the general trend. These could be considered as potential outliers. One approach to identifying these outliers could be to calculate the standard deviation from the mean and flag any values outside a certain tolerance level. This approach would need to be validated with further statistical analysis.
In conclusion, this data analysis provides a general understanding of the exchange rate trends over time, highlights potential seasonality, and indentifies potential outliers. However, these findings do not constitute financial advice and a more detailed analysis would be necessary to make informed financial decisions.