2024-05-13 Cayman Islands Dollar News
2024-05-12
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
Analysis of Exchange Rate Time Series
The dataset provided is a time series dataset, indicating the changes in KYD exchange rates at different timestamps. In this comprehensive analysis, three main areas were focused: the overall trend of the rates, any noticeable seasonality or recurring patterns, and potential outliers.
1. Overall Trend of Exchange Rates
Upon evaluation of the provided dataset, the data doesn't exhibit a strong upward or downward trend. Rather, it implies a fluctuating behavior, ranging around 1.63 to 1.66 for the observed period. The rates peak at certain points, followed by a fall, and then climb back up – showing signs of a somewhat cyclical nature without a distinct linear rising or falling trend.
2. Seasonality and Recurring Patterns
It appears that the exchange rates do not show a distinct seasonality or any consistent patterns over the given timestamps. The values seem to fluctuate irregularly. There's potentially some cyclical pattern where peaks and troughs might repeat after a certain period of time, but it is not pronounced or distinct enough to make a definitive call on recurrent nature. This fluctuation might be a result of multiple factors like inherent market volatility, changing economic indicators, or trading activities in the foreign exchange market.
3. Outliers in the Exchange Rates
For identifying outliers, more specific statistical analysis methods are needed. However, based on the visual inspection of the data, there does not seem to be any significant instance where the exchange rate differs markedly from the general pattern of data. This implies absence of extreme spikes or falls in the rates for the provided dataset.
In conclusion, the KYD exchange rate for the observed period shows a certain degree of fluctuation without a distinct upward or downward trend, lacks a clear seasonal component, and does not exhibit any significantly noticeable outliers. Evidently, any solid pattern recognition or prediction requires more sophisticated statistical analyses or machine learning methodologies.
