2024-04-29 Guyana Dollar News
2024-04-28
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 the Exchange Rates
The overall trend of the GYD exchange rate seems to be relatively stable with minor fluctuations. There is no clear increasing or decreasing pattern that persists for a significant period of time. Instead, the rate appears to fluctuate slightly around an average value of approximately 0.0065.
Seasonality or Recurring Patterns
While there appear to be minor fluctuations in the exchange rate, the patterns do not seem to subsist for prolonged periods. Any apparent cyclic patterns may be due to random chance rather than a persistent seasonality effect. Given the limited data, it is challenging to definitively ascertain the presence of seasonality or recurring patterns.
Outliers
Given the stability of the exchange rate, there aren't many noticeable outliers in the data. Most exchange rate readings fall within a narrow band centered around the mean value. This suggests that during the analyzed period, no significant economic events occurred that might have triggered larger-than-usual fluctuations in the exchange rate. However, the timestamp of "2024-04-12 14:00:01" showed a slightly higher rate of 0.00659 which is slightly above the observed average.
It's important to note that the absence of significant outliers or pronounced trends is common in exchange rate data, as rates are often influenced by a myriad of factors that work to sustain relative stability. Central banks and international entities work to stabilize rates through a variety of economic policies and mechanisms like interest rate adjustments and foreign exchange interventions.
Limitations
This analysis considers only the raw exchange rate data, without incorporating any contextual information about concurrent economic, political, or social events. Understanding the broader context is often crucial in interpreting financial time-series data effectively.
Also, it's important to note that although the data does not show any strong trend or seasonality, interpretation can change when more data or larger time frame is considered.
