Unanticipated Volatility in XDR Exchange Rates Puzzles Markets
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend
Analysing the data, it appears that the overall trend is slightly fluctuating. We are seeing both increases and decreases over the course of the given dates and times, suggesting that the exchange rate was not stable throughout the entirety of this period. There are gentle peaks and troughs, typical of financial time series indices, but no drastic changes are present over the span.
Identifying Seasonality
In this dataset, with time intervals of roughly five minutes, it's hard to definitively identify any seasonality or recurring patterns. Mainly because financial markets don't usually exhibit the typical kinds of simple seasonality - like daily patterns - that can be discerned from such short time series. Moreover, an exchange rate is influenced by a multitude of factors, making short-term seasonality less likely to appear.
Naming Outliers
By analyzing the dataset, we can identify several instances where there's a significantly large jump comparing to its neighboring data points. The decrease in the exchange rate from 1.81533 to 1.80786 on 2024-05-02 at 06:15:02, and the increase from 1.80019 to 1.80464 on 2024-05-02 at 20:10:02. Apart from these, the other movements did not appear as large jumps or falls.
Please note that while efforts have been made to accurately and thoroughly analyze this dataset, exchange rates can be influenced by a myriad of factors, including but not limited to political instability, economic indicators, central bank decisions, and other local or global events. As such, the insights derived from the dataset should be seen as a contribution to the understanding of the XDR exchange rate movements during the specified period, and not as absolute determiners of its behavior.