2024-05-17 Cayman Islands Dollar News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis
1. Understanding the overall trend of the exchange rates.
From the data provided, it is observed that the KYD exchange rate experiences both periods of increase and decrease within the timeseries. It starts around 1.64314 and ends around 1.63357. This shows that overall, the KYD exchange rate slightly went down over the period in the dataset.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates.
In terms of seasonality, it's not very evident in the transmitted data as it only provides data within one day. In order to determine seasonality, it would generally require data over a longer period of time. However, the repeated fluctuations might indicate intra-day volatility.
3. Noting any outliers.
There are significant jumps observed in the data, which could be considered as outliers. Examples include the drop from 1.64614 to 1.63587 between 06:20:02 and 06:25:02, and the rise from 1.63355 to 1.63443 between 19:00:02 and 19:20:02. However, these could also be due to intra-day volatility or potential economic events, but without considering external factors, these instances can be considered as outliers in this dataset.
Please note that while this analysis provides an overview of the dataset, a more in-depth analysis might require the consideration of external factors and other financial indicators related to KYD's performance. The dataset also encompasses a short timeframe (one day), which might not be enough to identify significant trends or seasonal patterns usually observed in long-term time series analysis.Conclusion
The KYD exchange rates change over time with periods of increase and decrease within the timeseries of a day. While the overall trend shows a decrease in this period, the exchange rate shows repeated fluctuations that might indicate intra-day volatility. There are also instances identified which could be considered as outliers from the general movement. However, a more conclusive analysis would require longer-term data and potentially considering other external factors.