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JNY - Effect of Election Cycles on Jones Apparel Group, Inc.


Election Cycle Trends in JNY Common Stock.



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JNY:  Presidential Election History

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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JNY:  Profitability by Presidential Party

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 Jones Apparel Group, Inc. Common Stock.







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Election Calendar Cycles of Jones Apparel Group, Inc.

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 Jones Apparel Group, Inc.?

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


Public Pages : More JNY Technical Analysis Chalk-Talk Subjects

JNY Price Forecasts

JNY Traditional Time Series Analysis

Momentum Investing

Multi-Spectral Analysis

JNY Transaction Volume Trends

JNY Analysis of Short Term and Long Term Risk

JNY Calendar Seasonality

CandleStick Analysis

Back to JNY Index Page


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We do not recommend the purchase or sale of this or any other issue. Research shows that most people who invest in common stock will lose money. We do not advocate speculation in mutual funds or index funds. Pages on this site are for entertainment and academic purposes only. Charts and concepts are property of Hybrid Technical. All Rights Reserved. Content is Copyright 2008 by Hybrid Technical




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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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