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Series for Verizon with Seasonals based on 12 Month Calendar

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Classical Time Series Decomposition of Historical Prices of Verizon

Explanation of Times Series Charts:

The first chart contains the original date, in this case, the monthly average closing prices for VZ over history. Blue marks the de-seasonalized trend, which is a least squares linear regression applied to the VZ prices after seasonal variations have been filtered out.

The first step of the classical analysis determines seasonal indexes. The decomposition above bases the seasonality on the ordinary 12 month calendar from one January to the next, but it is also possible to extract interesting results from the 24 or 48 month political election based on November elections, as we shall see shortly. The orange Seasonal Component is based on the seasonality of the entire time series, so it is the same from year to the next.

Once the global seasonal is known, it is possible to subtract its influence from the original input to produce so called deseasonalized data. The trend line in the top chart comes about from this processes. Further refinement removes the trend from the deseasonalized data. What remains is the unfiltered cyclical component. Broadly speaking, the refined cyclical data represents the effect of the general business cycle in addition to the private business cycle of Verizon. Later, we will use a method to separate the two cycles, but on this chart, they are compounded.

The purple chart is the Irregular Component. This classical name is not entirely appropriate, since it often reveals obvious regular patterns. Because it represents the variations that have not been explained by the refinement process up to this step, it could be called the Un-explained Component.

One of the more interesting series to be derived in this manner is the red trace on the bottom chart. The residue that is left when all components other than Seasonal and Un-Explained are filtered away, shows how the strongly regular Seasonal effects actually change from one year to the next. When a seasonal pattern becomes well know, the market may anticipate, causing the date of the seasonal peak to occur earlier. This component show how that anticipation moves over time, unlike the static pattern in the second chart.

While the full history analysis is of enduring interest, it may also be misleading. An issue may have the same name for 20 or more years, but it may be a very different company, and economic fundamentals have surely changed. For this reason, we want to look at patterns established in more recent times.


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VZ:  Classical Time Series Analysis of Past 5 Year's Prices



For Subscribers: Hyper Refined Analysis of Verizon

Refined Stock Trend Analysis for VZ :


Companies in the News:

In the news, Friday, March 12, 2010: An unfavorable condition has developed with Convergys Corporation, ticker symbol CVG. Also, there are breaking events concerning ConAgra Foods, Inc. (CAG) and Pre-Paid Legal (PPD)

More VZ Technical Analysis Topics

VZ Price Predictions

Support and Resistance Levels

Politics and Prices of VZ

Japanese Candlestick Analysis

VZ Historical Volume

VZ Risk-Volatility Analysis

VZ Seasonal Trends

Back to VZ Table of Contents


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