Back to list of Stocks See Also: Fourier Analysis of VDC, Genetic Algorithms Stock Portfolio Generator,
and Best Months to Buy/Sell Stocks

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Seasonal Analysis of VDC (Vanguard Consumer Staples ETF)

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Seasonal Analysis

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Notes: "Adjusted Close" means closing price was adjusted for splits
and dividends; Weekly (not daily) Adjusted close price was used for calculations;

Using data from 1/30/2004 to 3/18/2019 for VDC (Vanguard Consumer Staples ETF), this program was able to calculate the following historical seasonal cycles for this stock:

Historically, the best month to buy VDC is January

Historically, the best month to sell VDC is December

In January, VDC is historically down by -5.12%

In February, VDC is historically down by -3.82%

In March, VDC is historically down by -2.40%

In April, VDC is historically down by -1.19%

In May, VDC is historically down by -0.13%

In June, VDC is historically up by 0.14%

In July, VDC is historically up by 0.17%

In August, VDC is historically up by 1.05%

In September, VDC is historically up by 2.46%

In October, VDC is historically up by 1.58%

In November, VDC is historically up by 2.72%

In December, VDC is historically up by 4.54%

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

See Also: Fourier Analysis of VDCGeneral Statistics | |

Number of Data Points | 791 |

Start Date of Data | 1/30/2004 |

End Date of Data | 3/18/2019 |

Minimum Value of Adjusted Close | 36.29 |

Maximum Value of Adjusted Close | 146.93 |

Average Value of Adjusted Close | 78.95 |

Median Value of Adjusted Close | 65.22 |

Standard Deviation of Adjusted Close | 35.73 |

Coefficient of Variation for Adjusted Close | 45.25% |

The average ("mean") and median are measures of central tendency.

For the given time period, the price of VDC tends towards a value in the vicinity of 78.95 (the mean) and 65.22 (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 VDC goes above 114.68 (mean + 1 standard deviation) or below 43.23 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of VDC goes above 150.40 (mean + 2 standard deviations) or below 7.50 (mean - 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.

For the given time period, the price of VDC tends towards a value in the vicinity of 78.95 (the mean) and 65.22 (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 VDC goes above 114.68 (mean + 1 standard deviation) or below 43.23 (mean - 1 standard deviation), then the reader is urged to investigate further for a possible buying or selling opportunity.

If the price of VDC goes above 150.40 (mean + 2 standard deviations) or below 7.50 (mean - 2 standard deviations), then the reader is urged to investigate further as this would be an unusual event.

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