2024-05-07 Nepalese Rupee News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of Exchange Rates Time Series Data
By a quick glance over the provided dataset, the NPR exchange rate is roughly hovering between 0.01022 and 0.01027. Going into a precise analysis:
1. Overall Trend
The overall trend of the exchange rate from the data provided seems to be stable over the observed period. The rate starts at 0.01027, and after a slight decrease, hovers mostly around 0.01022 - 0.01024. Since there is no significant and consistent increase or decrease in the exchange rate, we can conclude that the exchange rate remained generally stable during this period.
2. Seasonality and Patterns
In the given dataset, any distinct pattern or seasonality in exchange rates is hard to ascertain. Considering the duration covered is within a single day, typically, seasonality or recurring patterns require a longer timeframe (e.g., multiple months or years) to become evident. However, it's strongly suggested to perform a thorough time-series analysis using statistical packages like Python's 'Statsmodels' or R 'forecast' package for a definitive conclusion on seasonality.
3. Outliers
As for the outliers in the dataset, they would be instances where the exchange rate significantly deviates from the observed range (0.01022 - 0.01027). With the current dataset, no such significant deviations are observable, suggesting no outliers exist in this data set.
To summarize, the exchange rate appears stable, with no visible seasonality or outliers over the given duration. However, this is a basic analysis and for more nuanced understanding, a detailed statistical analysis is recommended.