2024-05-13 Latvian Lats 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
I'd like to inform you that an accurate and reliable data analysis cannot be conducted without having access to the full dataset and proper analytical tools. However, based on the concept of time-series data and financial analysis fundamentals, I'll frame a possible analysis structure which can be used to evaluate your data.
1. Trend Analysis
Extracting the trend from time-series data can inform about the general direction in which the exchange rates are moving. To evaluate the overall trend, data can be plotted on a time-series graph and apply a moving average to smoothen out short-term fluctuations and highlight long-term ones. A trend line can also be fitted to the graph to visualize the trend over time.
- If the trend line has a positive slope, that suggests an overall increase in exchange rates over the period.
- A negative slope suggests a decrease in exchange rates.
- If the slope is zero or nearly zero, the exchange rates have remained relatively stable over the period.
2. Seasonality Analysis
Seasonality refers to repetitive and predictable movements or patterns in the data. Determing seasonal patterns can be quite complex as it requires de-trending the data and then analyzing patterns in the residuals. Fourier analysis or autocorrelation plots might help to indicate the presence of seasonality.
3. Identification of Outliers
Outliers are data points that significantly diverge from the overall pattern of the data. In the case of exchange rates, these could be caused by unexpected economic events or market shifts, among others. Boxplots, scatter plots, or Z-scores are common tools for outlier detection.
Remember, any observed trend, seasonality, or outliers should be considered as descriptive rather than predictive. Furthermore, due to the complexity and unpredictability of economic phenomena, these results should always be considered along with other market indicators and economic contexts.