2024-04-29 Dominican Peso 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
1. Overall Trend Analysis
Based on the given time series data, it can be observed that the exchange rates vary between 0.02271 and 0.02342 over the given period. There isn't any upward or downward trend in the series. The time series appears to fluctuate around a common mean, with highs and lows interspersed randomly, indicating that the series might follow a random walk or a mean-reverting pattern. However, further statistical tests such as Augmented Dickey-Fuller Test or KPSS test would be required for concrete confirmation.
2. Seasonality analysis
From the data provided, it's challenging to precisely identify seasonal patterns due to missing timestamps for some periods. Ideally, time series data should contain regular observations (e.g., hourly, daily, weekly) to accurately identify seasonality. However, based on the available data, no apparent consistent pattern of fluctuations seems to occur at specific regular intervals that would suggest seasonal effects.
3. Identification of Outliers
The series has some fluctuations; however, the sudden changes from one timestamp to the next don't seem to be extreme when considered in the context of the full dataset. Nevertheless, to be more precise about determining outliers, further statistical methods such as the Z-score or the IQR method can be employed. Keep in mind that these methods should be careful with time series data since what appears to be an extreme value might be part of a trend or seasonal component. Therefore, removing these values as outliers could distort the underlying process.
4. Points to Consider
- The analysis assumes that the rates provided are correct and not influenced by any errors or manipulation.
- This analysis did not incorporate potential external factors such as geopolitical events, changes in macroeconomic variables, market opening/closing hours, weekends/holidays, or the release of key financial reports which could significantly impact exchange rates.
- Although no forecasting was performed in this analysis, note that the appropriate choice of methods for predicting future values would be dependent on accurately understanding and modeling the trend and seasonality components, and handling outliers appropriately.