Morgan Stanley Preferred Stock Forecast - Simple Regression

MS-PI Preferred Stock  USD 25.50  0.12  0.47%   
The Simple Regression forecasted value of Morgan Stanley on the next trading day is expected to be 25.60 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.98. Morgan Preferred Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Morgan Stanley's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Morgan Stanley price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Morgan Stanley Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Morgan Stanley on the next trading day is expected to be 25.60 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.98.
Please note that although there have been many attempts to predict Morgan Preferred Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Morgan Stanley's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Morgan Stanley Preferred Stock Forecast Pattern

Backtest Morgan StanleyMorgan Stanley Price PredictionBuy or Sell Advice 

Morgan Stanley Forecasted Value

In the context of forecasting Morgan Stanley's Preferred Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Morgan Stanley's downside and upside margins for the forecasting period are 25.33 and 25.86, respectively. We have considered Morgan Stanley's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
25.50
25.60
Expected Value
25.86
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Morgan Stanley preferred stock data series using in forecasting. Note that when a statistical model is used to represent Morgan Stanley preferred stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria114.0762
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1145
MAPEMean absolute percentage error0.0045
SAESum of the absolute errors6.9834
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Morgan Stanley historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Morgan Stanley

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Morgan Stanley. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
25.2325.5025.77
Details
Intrinsic
Valuation
LowRealHigh
24.8025.0728.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.2925.4325.57
Details

Other Forecasting Options for Morgan Stanley

For every potential investor in Morgan, whether a beginner or expert, Morgan Stanley's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Morgan Preferred Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Morgan. Basic forecasting techniques help filter out the noise by identifying Morgan Stanley's price trends.

Morgan Stanley Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Morgan Stanley preferred stock to make a market-neutral strategy. Peer analysis of Morgan Stanley could also be used in its relative valuation, which is a method of valuing Morgan Stanley by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Morgan Stanley Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Morgan Stanley's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Morgan Stanley's current price.

Morgan Stanley Market Strength Events

Market strength indicators help investors to evaluate how Morgan Stanley preferred stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Morgan Stanley shares will generate the highest return on investment. By undertsting and applying Morgan Stanley preferred stock market strength indicators, traders can identify Morgan Stanley entry and exit signals to maximize returns.

Morgan Stanley Risk Indicators

The analysis of Morgan Stanley's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Morgan Stanley's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting morgan preferred stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

Other Information on Investing in Morgan Preferred Stock

Morgan Stanley financial ratios help investors to determine whether Morgan Preferred Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Morgan with respect to the benefits of owning Morgan Stanley security.