Chapter I: An introductory chapter looks at the price history of HRB by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. |
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This explains the analysis charts for H&R Block, Inc.: The red plot on the top chart is the Mean Monthly Closing Price for the company. Blue marks the de-seasonalized trend, which is a least squares linear regression applied to the HRB 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 H&R Block, Inc.. On this chart, the global and private cyclical components are mingled. We will separate them in a later refinement. 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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Refined Stock Trend Analysis for HRB : |
| Wednesday, July 28, 2010: We have news on W.W. Grainger, Inc., ticker symbol GWW. Signs of an over-bought condition have become noticable. Also, there are breaking events concerning Cummins Inc. and Quest Diagnostics Incorporated. From the News Archive: (7/27/2010 ) Favorable events happened at Lexmark International, Inc., Range Resources Corp., and Zimmer Holdings, Inc.. Meanwhile, bad news came from QUALCOMM, Inc.. |