2024-05-13 Bahamian Dollar News
2024-05-12
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
In order to perform a thorough analysis of the dataset provided, various methods were employed such as summary statistics, plot visualization, and deep analytical reasoning. Here are findings from the dataset:
1. Trend Analysis
The general trend observed in the exchange rates over the provided timeframe indicates increased volatility. There is no clear trend of continuous decrease or increase over the entire period. It seems like the rates sometimes increase or decrease in sequence, though they remain around certain range of 1.363 to 1.383.
2. Seasonality
In the absence of distinguishing any prominent seasonal trends from the dataset provided could be due to the short period of data. Seasonal trends may exist in the long-term data beyond the sample provided, such as monthly or yearly patterns. It is noteworthy that intra-day fluctuations are observed which might indicate it may be linked to market opening/closing hours.
3. Detection of Outliers
Regarding the detection of outliers, the dataset seems to be pre-cleaned and there are no instances where the exchange rate differs notably from the general dataset structure. However, it is important to remember such anomalies are often expected in financial data due to various unpredictable macroeconomic factors.
In conclusion, trend analysis showed that the exchange rates vary within a certain range, and intra-day fluctuations were observed that might signify the influence of market hours. But, due to the short data span, no seasonality trends could be established. Furthermore, no notable outliers have been located in the data. For a more comprehensive analysis, it would be beneficial to have more data spanning multiple years, as these might reveal seasonal trends that aren't currently visible.