2024-04-22 Jordanian Dinar News
2024-04-21
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
JOD Exchange Rate Overall Trend Analysis
From a preliminary review of the data provided, the JOD exchange rates have shown a certain level of fluctuation. For a comprehensive understanding of the overall trend of the exchange rates, the JOD rate would be plotted against the timestamps. The purpose of such a plot is to provide a visual understanding of the trend - if it's increasing, decreasing or stable over time. This analysis does not predict future exchange rates but rather demonstrates the trend within the limited timeframe of the dataset.
Identifying Seasonality/Recurring Patterns
Another aspect of time series data analysis is the recognition of any seasonality or recurrent patterns in data. Seasonality refers to periodic fluctuations. For instance, retailers may experience higher sales volume before holidays. Seasonality is always of a fixed and known frequency. The dataset provided features a timestamp which suggests that the JOD rates change more than once within a day, therefore intraday seasonality might be identified if there is a recurrent change in rates within the trading hours. This remains to be determined after further advanced analysis.
Outliers Detection
Outliers in data can distort predictions and affect the accuracy, if you don’t detect and handle them appropriately especially in forecasting where machine learning algorithms are involved. In terms of the JOD exchange rate, outliers could possibly be the rates that significantly vary from the general trend and pattern detected. Outliers might suggest a significant change in the market, high volatility or possibly a data collection error. Detecting outliers in this dataset will be conducted by plotting the rate changes, where significant spikes or drops beyond the expected consistency might suggest an outlier. However, determining an outlier also depends on the context of the data and the methodology used for detection.
Not Considering Specific Events or External Factors
Although identifying specific events and considering external factors might highly improve the understanding and prediction scope of the financial analysis, this analysis is limited to understanding the patterns and trends of the historical data provided. Hence, this analysis did not consider any external factors such as market opening/closing hours, weekend/holidays, or the release of key financial news and reports.
Please note, it's crucial to understand every piece of methodology and analysis mentioned has its own assumptions and limitations. So, the results should be interpreted under these assumptions and limitations only.