2024-05-13 Bulgarian Lev News
2024-05-12
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
To do a comprehensive analysis of the dataset, it would be beneficial to create a time series plot to visually interpret the overall trend, detect any possible seasonality, and locate any potential outliers. Due to the constraints, we won't consider any specific events or external factors such as market opening/closing hours, weekends/holidays, or the release of financial news and reports. There will also not be any forecast for future rates. Observations would be based only on the pattern of the data given without any external consideration. Furthermore, due to the textual nature of this interface, there may be some constraints in showing actual graphical plots, but if the dataset was analyzed on a plotting software or similar tool, the visual representation would have been clearer.Overall Trend
After evaluating the time series data, it appears that exchange rates demonstrate a slight increase over the given duration. There are intermittent periods of decline strewn throughout, but they are often followed by a rebound exceeding the previous value. Thus the trend of the exchange rates (BGN) can be classified as slightly increasing. The minor fluctuations in between, characterized by small rises and falls, are typical in the nature of exchange rate time series data.
Seasonality or Recurring Patterns
On the subject of seasonality, the dataset does not present a clear, consistent pattern that repeats at known, regular intervals. There are noticeable periods of growth and decline, however, they seem rather irregular and sporadic. Consequently, it's hard to classify them as a definitive seasonal pattern based on the data given.
Outliers
Regarding outliers, the time series data does not exhibit any extreme fluctuations or instances where the exchange rate varies significantly from the overall pattern. There are instances of minor peaks and troughs, but they are to be expected in this type of data and can be attributed to normal market dynamics rather than anomalous occurrences. In this context, no extreme outliers can be established within the dataset.
This analysis is a general overview of the patterns in the data, and a more in-depth analysis could potentially identify further nuances in the data. It's important to note that even within the constraints of this analysis (i.e., not considering external factors or producing forecasts), understanding the basics of time series analysis can provide valuable insights about the behavior of exchange rates over time.