2024-05-06 New Zealand Dollar News
2024-05-05
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
Overall Trend of Exchange Rates
In order to understand the overall trend of the exchange rates, a line chart could be plotted with the date on the x-axis and the NZD exchange rate on the Y-axis. From the data provided, it seems that the exchange rates are showing a mostly increasing trend from 0.81574 to 0.82275 from 2024-04-05 to 2024-05-03. However, there was a substantial fluctuation in the rates, with some sequences of date timestamps showing a decrease in rates. It is crucial to note that the exchange rates are highly volatile and susceptible to changes in a short period.
Seasonality or Recurring Patterns
Seasonality or recurring patterns in time-series data are usually associated with certain events or factors that occur at regular intervals. However, exchange rates are typically influenced by a complex interplay of various factors, including the economic, political, and social environment, and do not often show straightforward seasonality or recurring patterns. However, we can conduct decomposition of the time series data to separate the trend, seasonal and residual components to further investigate any seasonal patterns.
Outliers
Outliers in a dataset are values that are significantly different from other observations. They could be due to volatility in the market or abnormal events. In the context of exchange rates, an outlier would be a rate significantly different from the rates at times around it. From the given dataset, no clear outliers can be identified directly. However, we may use a boxplot or by calculating z-scores to statistically identify potential outliers.