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Seasonal Analysis of XNY (Dunxin Financial Holdings Limited)


Seasonal Analysis

Using data from 11/23/2010 to 3/23/2018 for XNY (Dunxin Financial Holdings Limited), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy XNY is September
Historically, the best month to sell XNY is February

In January, XNY is historically up by 9.12%
In February, XNY is historically up by 13.67%
In March, XNY is historically up by 6.42%
In April, XNY is historically up by 5.40%
In May, XNY is historically up by 3.98%
In June, XNY is historically up by 5.73%
In July, XNY is historically down by -0.37%
In August, XNY is historically down by -3.63%
In September, XNY is historically down by -14.04%
In October, XNY is historically down by -11.18%
In November, XNY is historically down by -6.73%
In December, XNY is historically down by -8.36%

Right click on the graph above to see the menu of operations (download, full screen, etc.)

See Also: Fourier Analysis of XNY
 
 
General Statistics
Number of Data Points381
Start Date of Data11/23/2010
End Date of Data3/23/2018
Minimum Value of Adjusted Close3.05
Maximum Value of Adjusted Close128.64
Average Value of Adjusted Close15.49
Median Value of Adjusted Close11.28
Standard Deviation of Adjusted Close19.36
Coefficient of Variation for Adjusted Close 124.96%
  Notes: "Adjusted Close" means closing price was adjusted for splits and dividends; Weekly (not daily) Adjusted close price was used for calculations; 
The average ("mean") and median are measures of central tendency.

For the given time period, the price of XNY tends towards a value in the vicinity of 15.49 (the mean) and 11.28 (the median).

Standard Deviation and Coefficient Of Variation are measures of dispersion. These can be used to measure the volatility (risk) of a security, and also to estimate the expected ranges of the price.

Assuming a normal distribution, we expect to see 68% of values within one Standard Deviation of the mean (average), 95% of the values within two standard deviations of the mean, and 99% of the values within three standard deviations of the mean.

If the price of XNY goes above 34.85 (mean + 1 standard deviation) , then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of XNY goes above 54.21 (mean + 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.



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