2024-05-21 Ghana Cedi 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
1. Understanding the overall trend of the exchange rates
On observation of the data, the exchange rate between GHS and the base currency exhibits a slight trend of fluctuation within a relatively stable range. Starting from 0.09544, the rate broadly holds steady for a considerable period and increments over time to reach a high of 0.09554. However, the rate then falls significantly to 0.09452, which also appears to be the lowest point, and then again rises to reach a peak around 0.09555. Post this point, the rate seems to be consistently hovering around the lower range of around 0.0945 to 0.0947, with minute fluctuations indicating a slightly volatile period before it stabilizes and closes at 0.09464.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
Within the given timeframe, there isn't an apparent seasonal pattern or recurring pattern that can be noticed in the exchange rates. It is either that the time series data does not cover a long enough period to contain seasonality, or the exchange rates are not influenced enough by seasonal factors to follow a defined repeating pattern. However, some minor cyclic behavior can be observed, with rates moving up and down within a small range.
3. Outliers and notable instances
One notable instance within the data is the sharp decrease from around 0.09555 to 0.09452. This marks a significant shift away from the general trend observed before the dive. The rate doesn't appear to recover to the previous levels, instead it seems to trace a new baseline around 0.094 afterwards. This could be due to a number of reasons, including changes in macroeconomic indicators, monetary policies or events affecting the market. As it is one of the most considerable changes in a relatively short amount of time, this could be considered an outlier in this dataset.