Chapter VII: Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! |
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| The indicators are mixed on the question of which Presidential Party is best for RX investors. Two theories compete as to the influence of the President's political party on stock prices. One camp holds that the market reacts very to the choice of president, possibly even before election day when the outcome is forseen. Others believe the new president does not begin to materially influence the market until he has been in office for some time. |
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| Monthly Appreciation is calculated as the percentage change between the mean price of each month compared to the preceding month. Price Periods are assigned to Political Parties three different ways for this calculation. A split decision is in the result here, according to which method you favor. Republicans are ahead by most of the three indicators. |
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| You may have seen charts that profile seasonal trends. This is similar, but it is based on the political calendar. The short (Congressional) cycle is 24 months long. Like many companies, RX exhibits weakness in the uncertain months previous to the election. Also, like many, it tends to show stronger performance during the off-years. The annual dip often noticed in September, may in reality be a result of the bi-annual season of pre-election jitters. |
Political Financials with the Influence of Congressional Elections on RX. Also, roadmap and Summary of most effective indicators: |
| Friday, March 12, 2010: We have news on ConAgra Foods, Inc., ticker symbol CAG. Signs of an over-bought condition have become noticable. Also, there are breaking events concerning Texas Instruments Incorporated and Convergys Corporation. From the News Archive: (3/11/2010 ) A favorable event happened at Amgen, Inc.. Meanwhile, bad news came from Coach, Inc., Fluor Corporation (NEW), and Automatic Data Processing. |