2024-05-13 Dong 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
Data Analysis
Let's start with a high-level overview of the time series financial dataset provided. Here, the data represents the VND exchange rates recorded at different timestamps.
1. Understanding the Overall Trend of the Exchange Rates
By observing the data, the overall trend of the VND exchange rate appears to be relatively stable throughout the given period. The majority of data values hover around a rate of 5e-5, with a brief increase to 6e-5 before returning to the original rate of 5e-5.
2. Identifying Seasonality
In terms of seasonality, given that the dataset spans across a brief period, a clear seasonal pattern or cyclical trend is not observable from the data given. The same applies to a weekly pattern, as the rate stays consistent through different days of the week. However, note that the data might not reflect potential actual seasonal trends due to the limited time span and frequency in data collection.
3. Outlining Outliers
Regarding outliers in the data, there is a notable spike in the value of the rate at 6e-5. This spike represents a short-lived increase in the rate that appears to be out of line with the otherwise consistent rate of 5e-5 throughout the rest of the data set.
In the absence of additional context, it's challenging to ascertain why this outlier occurs. However, without considering specific events or news this increase does appear to represent a significant deviation from the expected rate based on the observed trend.
Limitations and Further Analysis
Please note that this analysis purely depends on the data given and does not consider external factors like market opening/closing hours, weekends/holidays, geopolitical events or the release of key financial news and reports that might have an impact on exchange rates. To incorporate these factors and achieve a more holistic understanding, further investigation would be required, which may involve a more detailed dataset and a higher level of complexity in the analysis models.
As a reminder, this analysis does not predict future exchange rates.