Manulife Financial Pink Sheet Forecast - 20 Period Moving Average

MNLCF Stock  USD 14.00  0.23  1.67%   
The 20 Period Moving Average forecasted value of Manulife Financial on the next trading day is expected to be 13.82 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.85. Manulife Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Manulife Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Manulife Financial is based on a synthetically constructed Manulife Financialdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Manulife Financial 20 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Manulife Financial on the next trading day is expected to be 13.82 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 0.85.
Please note that although there have been many attempts to predict Manulife Pink Sheet 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 Manulife Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Manulife Financial Pink Sheet Forecast Pattern

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Manulife Financial Forecasted Value

In the context of forecasting Manulife Financial's Pink Sheet 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. Manulife Financial's downside and upside margins for the forecasting period are 13.61 and 14.03, respectively. We have considered Manulife Financial'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
14.00
13.82
Expected Value
14.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Manulife Financial pink sheet data series using in forecasting. Note that when a statistical model is used to represent Manulife Financial pink sheet, 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 Criteria75.9341
BiasArithmetic mean of the errors -0.0208
MADMean absolute deviation0.0208
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors0.851
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Manulife Financial 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Manulife Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Manulife Financial. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Manulife Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
13.7914.0014.21
Details
Intrinsic
Valuation
LowRealHigh
13.7313.9414.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.6313.8514.06
Details

Other Forecasting Options for Manulife Financial

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

Manulife Financial 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 Manulife Financial pink sheet to make a market-neutral strategy. Peer analysis of Manulife Financial could also be used in its relative valuation, which is a method of valuing Manulife Financial by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Manulife Financial Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Manulife Financial'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 Manulife Financial's current price.

Manulife Financial Market Strength Events

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

Manulife Financial Risk Indicators

The analysis of Manulife Financial'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 Manulife Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting manulife pink sheet 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.

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Other Information on Investing in Manulife Pink Sheet

Manulife Financial financial ratios help investors to determine whether Manulife Pink Sheet 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 Manulife with respect to the benefits of owning Manulife Financial security.