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Seasonal Analysis of WOOD (iShares Global Timber & Forestry ETF)


Seasonal Analysis

Using data from 6/25/2008 to 4/12/2021 for WOOD (iShares Global Timber & Forestry ETF), this program was able to calculate the following historical seasonal cycles for this stock:
Historically, the best month to buy WOOD is May
Historically, the best month to sell WOOD is December

In January, WOOD is historically down by -2.42%
In February, WOOD is historically down by -2.59%
In March, WOOD is historically down by -3.06%
In April, WOOD is historically up by 2.28%
In May, WOOD is historically down by -3.99%
In June, WOOD is historically down by -1.84%
In July, WOOD is historically up by 0.10%
In August, WOOD is historically down by -3.11%
In September, WOOD is historically up by 2.01%
In October, WOOD is historically up by 2.10%
In November, WOOD is historically up by 3.35%
In December, WOOD is historically up by 7.17%

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

See Also: Fourier Analysis of WOOD
 
 
General Statistics
Number of Data Points669
Start Date of Data6/25/2008
End Date of Data4/12/2021
Minimum Value of Adjusted Close14.60
Maximum Value of Adjusted Close94.03
Average Value of Adjusted Close46.68
Median Value of Adjusted Close44.77
Standard Deviation of Adjusted Close14.99
Coefficient of Variation for Adjusted Close 32.10%
  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 WOOD tends towards a value in the vicinity of 46.68 (the mean) and 44.77 (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 WOOD goes above 61.67 (mean + 1 standard deviation) or below 31.69 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of WOOD goes above 76.66 (mean + 2 standard deviations) or below 16.71 (mean - 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.


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