2024-04-29 Gibraltar Pound News
2024-04-28
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
Overall Trend of Exchange Rates
When analyzing time-series financial data, the overall trend helps us understand the general direction the data is moving without paying attention to minor fluctuations. Here, this refers to the upward or downward movement of the exchange rate over the entire time period. Analyzing the given data, we can see that the GIP exchange rate has experienced both rises and falls over the period. There's an initial decline in the exchange rate from 1.71219 on 2024-03-29 to around 1.69330 on 2024-04-04. After this, the rate has seen periods of both uptrends and downtrends; with a noticeable uptrend from 1.71302 on 2024-04-15 to a peak of 1.72888 on 2024-04-12, followed by a decrease to 1.70129 on 2024-04-25.
Identification of Recurring Patterns or Seasonality
Seasonality refers to periodic fluctuations that regularly occur in predictable patterns based on the time of year. With the data given, it's challenging to pinpoint any clear seasonality or recurring patterns in the GIP exchange rate. The fluctuations in the exchange rate appear more irregular. However, there are periods where a pattern of increases followed by decreases can be noticed, but these patterns are not strictly regular or repeating over a specific time-frame.
Outliers in the Exchange Rates
- The most noticeable outliers occur on 2024-04-10 with an abrupt rise in the exchange rate reaching a high of 1.71751 compared to previous recorded rates.
- Another significant outlier is the notable drop to 1.69562 on 2024-04-03 from the previously higher rates.
- Another instance of an outlier is on 2024-04-04 with the rate dropping to 1.6913, which is significantly lower compared to the rates during surrounding periods.
Note: Outliers, particularly in financial data, can be caused by various factors including significant financial events, policy changes, or other market-affecting occurrences. Therefore, further investigation, beyond the scope of the given data, would be required to understand the reasons behind these outliers.