IG Mackenzie Fund Forecast - Simple Regression

0P0000WJMR  CAD 15.12  0.01  0.07%   
The Simple Regression forecasted value of IG Mackenzie Dividend on the next trading day is expected to be 15.05 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.74. 0P0000WJMR Fund Forecast is based on your current time horizon.
As of today the relative strength index (rsi) of IG Mackenzie's share price is below 20 . This suggests that the fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of IG Mackenzie's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of IG Mackenzie and does not consider all of the tangible or intangible factors available from IG Mackenzie's fundamental data. We analyze noise-free headlines and recent hype associated with IG Mackenzie Dividend, which may create opportunities for some arbitrage if properly timed.
Using IG Mackenzie hype-based prediction, you can estimate the value of IG Mackenzie Dividend from the perspective of IG Mackenzie response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of IG Mackenzie Dividend on the next trading day is expected to be 15.05 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.74.

IG Mackenzie after-hype prediction price

    
  CAD 15.12  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of IG Mackenzie to cross-verify your projections.

IG Mackenzie Additional Predictive Modules

Most predictive techniques to examine 0P0000WJMR price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for 0P0000WJMR using various technical indicators. When you analyze 0P0000WJMR charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through IG Mackenzie 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.

IG Mackenzie Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of IG Mackenzie Dividend on the next trading day is expected to be 15.05 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.74.
Please note that although there have been many attempts to predict 0P0000WJMR Fund 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 IG Mackenzie's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IG Mackenzie Fund Forecast Pattern

Backtest IG MackenzieIG Mackenzie Price PredictionBuy or Sell Advice 

IG Mackenzie Forecasted Value

In the context of forecasting IG Mackenzie's Fund 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. IG Mackenzie's downside and upside margins for the forecasting period are 14.54 and 15.56, respectively. We have considered IG Mackenzie'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
15.12
15.05
Expected Value
15.56
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 IG Mackenzie fund data series using in forecasting. Note that when a statistical model is used to represent IG Mackenzie fund, 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 Criteria113.4427
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0777
MAPEMean absolute percentage error0.0052
SAESum of the absolute errors4.7375
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 IG Mackenzie Dividend 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 IG Mackenzie

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IG Mackenzie Dividend. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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
14.6115.1215.63
Details
Intrinsic
Valuation
LowRealHigh
14.5515.0615.57
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.7014.9715.25
Details

Other Forecasting Options for IG Mackenzie

For every potential investor in 0P0000WJMR, whether a beginner or expert, IG Mackenzie's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 0P0000WJMR Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 0P0000WJMR. Basic forecasting techniques help filter out the noise by identifying IG Mackenzie's price trends.

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

IG Mackenzie Dividend Technical and Predictive Analytics

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

IG Mackenzie Market Strength Events

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

IG Mackenzie Risk Indicators

The analysis of IG Mackenzie'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 IG Mackenzie's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 0p0000wjmr fund 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.

Pair Trading with IG Mackenzie

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IG Mackenzie position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IG Mackenzie will appreciate offsetting losses from the drop in the long position's value.

Moving together with 0P0000WJMR Fund

  0.810P00008XK3 Manulife Fid CdnPairCorr
  0.740P0000TWQD Invesco Diversified YieldPairCorr

Moving against 0P0000WJMR Fund

  0.33HD Home Depot CDRPairCorr
The ability to find closely correlated positions to IG Mackenzie could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IG Mackenzie when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IG Mackenzie - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling IG Mackenzie Dividend to buy it.
The correlation of IG Mackenzie is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IG Mackenzie moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IG Mackenzie Dividend moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IG Mackenzie can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in 0P0000WJMR Fund

IG Mackenzie financial ratios help investors to determine whether 0P0000WJMR Fund 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 0P0000WJMR with respect to the benefits of owning IG Mackenzie security.
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