Section I:The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of Yum! Brands. See YUM Classical Analysis.Section II:Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See YUM Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Yum! Brands Historical Prices identifies the best and worst months to be invested. See YUM Calendar Year Trends.Section V:One of the most popular indicators, the Moving Average, comes in many variations. Here we test the predictive ability of different averages as applied to prediction of Yum! Brands prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in YUM stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.Section 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. See Stock Prices and Politics for YUM.Section VIII: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. See Volumetric Analysis.Section IX:A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.Section X:The mood of the market toward Yum! Brands show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section XI:This section visualizes mappings based on the number of consecutive price movements in a particular direction. A discussion of the "Monte Carlo Fallacy" and it's relevance to Stock Price Prediction leads to a revisionist method of Price Projection using the Bernoulli Analysis. See Bernoulli Run Analysis.Section XII:The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.Section XIII:Multi-spectral analysis reveals behavioral features of YUM prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.Section XIV:Combining the historical behavior surfaces with the geometry of long standing periodic price oscillations yields a behavior surface of more than three dimensions which has an extremely low residual error compared to other methods of analysis. See Multi-dimensional Price Behaviors.Section XVI:Predictions and Forecasts. What will happen to YUM over the next few months? See YUM Share Price Forecasts. |