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CMA - Effect of Election Cycles on Comerica Incorporated

Chapter VII: This chapter takes a view somewhat similar to standard analysis of seasonal trends, but it is based on the 4 year or 2 year Political Calendar rather than the 1 year Standard Calendar. Political Seasons work better than Calendar Seasons for predicting prices of many companies.


Election Cycle Trends in CMA Common Stock.



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Presidential Election History of Comerica Incorporated

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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Profitability by Presidential Party of Comerica Incorporated

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.




Best Times in the Election Cycle For Short Term Speculation in Comerica Incorporated Common Stock.







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Election Calendar Cycles of Comerica Incorporated

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.






More Political Cycles of Comerica Incorporated?

Political Financials with the Influence of Congressional Elections on CMA. Also, roadmap and Summary of most effective indicators:


Public Pages : More CMA Technical Analysis Chalk-Talk Subjects

CMA Price Forecasts

CMA Traditional Time Series Analysis

Momentum Investing

Multi-Spectral Analysis

CMA Transaction Volume Trends

CMA Analysis of Short Term and Long Term Risk

CMA Calendar Seasonality

CandleStick Analysis

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Next Chapter 8:

Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels.


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