2024-05-08 Kuna News
2024-05-07
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of the HRK Exchange Rate Dataset
This data set provided is a time series of HRK exchange rates for specific timestamps. A comprehensive analysis of the dataset would observe the overall trend, identify repeating patterns, and detect any possible outliers.
However, the given data seems to contain all zeros in the rate column. With this information, it is impossible to derive any meaningful conclusion about the direction of the market, identify any seasonal patterns or detect any outliers. The dataset simply shows a consistent exchange rate of 0 HRK which is not a realistic representation of an exchange market.
A proper and meaningful dataset, with a variety of exchange rates, would have allowed us to conduct a thorough analysis by observing the data over time which is crucial given that financial markets are generally highly dynamic and complex, rendering simple statistical measures often insufficient for a comprehensive understanding.
In general, the results of such an analysis if data was not all zeros could have been:
Understanding the overall trend of the exchange rates
In order to draw insights about the general trend, the average rate could have been calculated over different periods of time to observe if the rates generally increase, decrease, or remain stable.
Identifying seasonality
To identify any recurring patterns or seasonality within the data, rates during similar time periods across different days could have been compared together. An autocorrelation plot could also be used to visually understand if the data set exhibits any regular and predictable periodic patterns.
Noting any outliers
An outlier or anomalies in the dataset could signify a time when the exchange rate functioned differently than the norm. The presence of an outlier could be identified using techniques like the Z-score or IQR method.
Unfortunately, due to the lack of variability in the provided dataset, all these analyses are currently unfeasible.