2024-04-16 Fiji Dollar News
2024-04-15
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 Analysis
The overall trend for the FJD exchange rate within the timeframe provided appears to be relatively stable, with minor fluctuations. There are small ups and downs over time but no consistent or strong trends towards a significant increase or decrease in value. Nonetheless, further detailed statistical analysis would offer more precise insight.
Seasonality or Recurring Patterns
With an initial visual inspection, there does not appear to be a clear recurring pattern or cycle that indicates seasonality in the FJD exchange data. Data points within shorter intervals (for instance, hourly or daily) could be subject to certain periodic fluctuations, which might be further investigated via cyclical analysis methods.
Outliers Identification
The data appears to contain few if any, outliers. Most fluctuations in exchange rate are minor and tend to return to a central range. There are no data points that stand out as being exceptionally distant from the others. However, the identification of outliers would ideally be confirmed by employing an outlier detection method or model.
Significant Observations
Over the course of the day, there seems to be minor fluctuations in the exchange rate, suggesting intraday volatility. Further analysis is needed to quantify this volatility and determine its underlying causes.
Please note, the analysis is purely based on the dataset provided without considering any external factors such as market opening/closing hours, potential impact of weekends/holidays, and the release of key financial news and reports. Also, it does not involve any predictive modeling or forecasting for future rates. As this is a basic analysis, I'd suggest conducting more detailed and multifaceted analysis including rolling statistics, autocorrelation plots, or more sophisticated time series analysis methods to get more robust and reliable insights. These could better account for and quantify the observations discussed here.