2024-04-22 Swedish Krona News
2024-04-21
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
Analysis of SEK Exchange Rate Time-series
1. Understanding the overall trend of the exchange rates
From an overall perspective, the given dataset shows a slight decreasing trend for the SEK exchange rate over the time period. Looking at the beginning of the dataset, on the date of 2024-03-22, the exchange rate started at 0.12898. Towards the end of the dataset, on 2024-04-19, it has decreased slightly to 0.12577.
2. Identifying Seasonality or Recurring Patterns
Upon further examination, there appears to be no distinct recurring or seasonal pattern in the SEK exchange rate within this dataset. This suggests potentially that the rates do not necessarily depend on the period of the day or specific days within the week. However, another dataset with a broader timeline might help to identify any potential seasonal patterns. It also doesn't mean there are no patterns, but within the given data and timeframe, none are visibly prominent.
3. Noting any Outliers
When considering the presented data, few outliers can be identified. On 2024-04-11, the rate drops to 0.12722, and on 2024-04-18, it drops to 0.12510; these are some of the lowest rates and deviate from the trend. On these dates exchange rate decreased more significantly than on the average day for the period observed.
In conclusion, this analysis provides an overall understanding of the SEK exchange rate movements during the specified time period. Notable changes in the rate were highlighted, and while there were not any significant recurring patterns visible, slight fluctuations suggest a mild downward trend. Finally, a few outliers were identified and discussed.
Again, it is important to stress that this analysis is purely based on the provided data and does not take into consideration the broader economic context or specific events that might have influenced these exchange rates. For further analysis, it could be beneficial to take a broader dataset and potentially apply more sophisticated statistical methods.