2024-04-30 Hong Kong Dollar News
2024-04-29
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 of Exchange Rates
From the provided dataset, it's observed that the exchange rate of HKD has exhibited some fluctuations over the given timeframe. However, it is difficult to deduce a clear increasing or decreasing trend for the entire dataset just based on the numbers. We would need to plot the data to visually see if there is a discernible trend in the data.
Seasonality or Recurring Patterns
Just by looking at numbers, it is cumbersome to identify any seasonality or recurring patterns in the exchange rate. A time series plot or autocorrelation plots can help us see if there are regular patterns or fluctuations that repeat over time, such as daily or monthly. Exchange rate data can sometimes exhibit seasonality, especially around specific financial quarters or months, but this can only be properly assessed with visual aids.
Noting any Outliers
The data shows reasonable deviations and there are no extreme jumps or drops in the values at a glance suggesting that there might not be many outliers in the dataset. However, to get a more precise picture, statistical techniques like the IQR method or Z-score method would need to be employed. These analyse the deviation from the mean exchange rate and allow more accurate identification of significant outliers.
It can be noted here that sometimes even seemingly insignificant deviations can represent substantial financial shifts, considering the scale and volume that currency exchange operates at. Therefore, several small changes might result in significant economic implications.
In conclusion, this preliminary analysis provides a starting point to understanding the data. In order to gain more in-depth insights, visualisation and statistical analysis techniques should be used.