AZN Exchange Rate Exhibits Unforeseen Volatility
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analyzing the Time-Series Data of Exchange Rates
Before beginning an in-depth analysis, we first load your data into a time-series model to help us understand its behaviour. Then, using various statistical measures and visualization techniques, It appears that the data requires a more sophisticated analysis to give us meaningful insights. Below are the results after analyzing the dataset:1. Understanding the Overall Trend
When visualizing the data, it appears that the exchange rate for AZN has shown slight fluctuations over the depicted timeframe. There were times when the rate increased or decreased, but overall, it appears to be rather stable. This could be described as a horizontal or stationary trend, assuming no significant change in exchange rate over time.
2. Identifying Recurring Patterns or Seasonality
From this dataset, it's challenging to clearly identify any seasonality or recurring patterns, which would show up as consistent, predictable fluctuations in exchange rates at certain periodic intervals. Such patterns might exist daily, weekly, or at other periods.
However, it's important to note that many economic time series don't display a clear seasonality, especially for raw data that hasn't been adjusted for outside influences or events. Detecting seasonality often requires more data spanning over a longer timeframe, ideally multiple years, to determine potential seasonal patterns caused by regular economic cycles or events.
3. Noting Any Outliers
Upon examining the dataset, there were no significant extreme values or outliers in the exchange rates. Most fluctuations stayed within a consistent range, with no significant peaks or troughs that would suggest major financial events impacting the exchange rate.
It's important to remember that absence of outliers may support the hypothesis that the currency market is effective with smooth adjustments to changes in supply and demand. Also, absence of outliers indicates the dataset is reliable without data entry errors or measurement errors.
Please note that this analysis was solely based on the given dataset and did not include any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports as requested.
For a more comprehensive and informative analysis, it would be beneficial to have an extended timeframe with more data points, and perhaps some additional information about external factors impacting the exchange rates.
Conclusion
In conclusion, the rate of AZN against the base currency appears to remain fairly consistent and stable over time, without any recurrent seasonal pattern or apparent outliers. To better understand the behaviour, trend, and seasonality of the exchange rate, we would recommend a more detailed analysis using a larger dataset over a longer timeframe.