2024-05-03 Solomon Islands Dollar News
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
Comprehensive analysis of provided Time-Series Financial Data:
Before examining the data, it's important to understand that a standard approach to time-series data analysis consists of three primary components: trend, seasonality, and noise.
- The trend portrays a consistent change in the data over time, regardless of whether it rises or falls.
- Seasonality indicates a predictable and repeated pattern occurring over specific periods.
- The noise is the unpredictability and variance present in time-series data.
Understanding the Overall Trend:
A detailed analysis of this dataset shows minor fluctuations in the SBD exchange rate. It's visible from the data that the value started at 0.1619 and ended at 0.16095. Over this period, the exchange rate hasn't drastically increased or decreased, and the rate has remained relatively stable overall.
Identifying Seasonality:
In the provided data interval (from 00:00 to 23:55), noticing the existence of recurring patterns in the exchange rates within the same frame is a complex task. However, despite the apparent lack of clear ongoing consistent patterns, the short time span, and minor value changes, it would be premature to rule out any seasonality.
An expanded dataset with long-term data would provide a better perspective to assess cyclical patterns over weeks, months, or years. The data patterns would be more noticeable and interpretable with an extended timeframe.
Noting Outliers:
In this given data, the exchange rate does not display major fluctuations or significant deviations - the values rest within a narrow range. Therefore, spotting any significant disparities or outliers might require a more thorough statistical study.
In conclusion, the SBD exchange rate within the provided dataset demonstrates a slight decreasing trend, while the seasonality and potential outliers are tougher to determine due to the narrow time frame and low rate deviation. A broader dataset and additional variables would provide a holistic view and would enable a more accurate analysis.