2024-05-21 Bermudian Dollar News
2024-05-20
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
Overall Trend in Exchange Rates
Based on the data provided, the exchange rate tends to fluctuate throughout the day with some periods showing a general increase in value, and others depicting a decrease. There is no persistent trend of only increasing or decreasing values. Instead, the rates appear to rise and drop periodically. This pattern suggests the rates remain generally stable over the period shown, allowing for some highs and lows.
Seasonality or Recurring Patterns
Regarding seasonality or recurring patterns in the change of exchange rates, the dataset does not provide enough detail to determine any predictable cycles convincingly. To ascertain the presence of any such patterns, data spanning over a few years and covering different seasons would be required. It does appear, however, from visual observation, that the rates tend to rise and fall within the shorter periods throughout the day. Further analysis that involves cyclical decomposition of the time series is required for affirming the presence of seasonality.
Outliers in Exchange Rates
On examining the data, there do not seem to be any conspicuous outliers. The exchange rates often fall within a reasonably narrow range, suggesting no instances where the rates significantly differ from what would typically be expected based on the observed trend. However, it should be noted that this conclusion is purely statistical and based on the limited data set provided. A more in-depth analysis might reveal subtle outliers, particularly if contextual information like key financial news is taken into account.
Please note that these findings reflect a preliminary analysis. To derive definitive insights and conclusions, a more comprehensive time series analysis technique like ARIMA or Exponential Smoothing can be applied, taking into account a larger dataset and possibly external factors known to affect exchange rates.
