CI Signature Fund Forecast - Naive Prediction

0P0001FKWD  CAD 36.35  0.06  0.16%   
The Naive Prediction forecasted value of CI Signature Cat on the next trading day is expected to be 35.88 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.70. 0P0001FKWD Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CI Signature's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for CI Signature is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of CI Signature Cat value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

CI Signature Naive Prediction Price Forecast For the 3rd of December

Given 90 days horizon, the Naive Prediction forecasted value of CI Signature Cat on the next trading day is expected to be 35.88 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.32, and the sum of the absolute errors of 25.70.
Please note that although there have been many attempts to predict 0P0001FKWD 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 CI Signature's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CI Signature Fund Forecast Pattern

Backtest CI SignatureCI Signature Price PredictionBuy or Sell Advice 

CI Signature Forecasted Value

In the context of forecasting CI Signature'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. CI Signature's downside and upside margins for the forecasting period are 34.59 and 37.18, respectively. We have considered CI Signature'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
36.35
35.88
Expected Value
37.18
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of CI Signature fund data series using in forecasting. Note that when a statistical model is used to represent CI Signature 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 Criteria116.9636
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4213
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors25.6993
This model is not at all useful as a medium-long range forecasting tool of CI Signature Cat. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict CI Signature. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for CI Signature

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CI Signature Cat. 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
35.0336.3537.67
Details
Intrinsic
Valuation
LowRealHigh
32.7238.5039.82
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.4735.3538.24
Details

Other Forecasting Options for CI Signature

For every potential investor in 0P0001FKWD, whether a beginner or expert, CI Signature's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 0P0001FKWD Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 0P0001FKWD. Basic forecasting techniques help filter out the noise by identifying CI Signature's price trends.

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

CI Signature Cat 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 CI Signature'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 CI Signature's current price.

CI Signature Market Strength Events

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

CI Signature Risk Indicators

The analysis of CI Signature'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 CI Signature's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 0p0001fkwd 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 CI Signature

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 CI Signature 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 CI Signature will appreciate offsetting losses from the drop in the long position's value.

Moving together with 0P0001FKWD Fund

  1.00P0001AAKP CI Signature CatPairCorr
  1.00P000070HA CI Global AlphaPairCorr
  0.970P0000733H RBC Global TechnologyPairCorr
  0.90P000070JI Fidelity TechnologyPairCorr

Moving against 0P0001FKWD Fund

  0.850P000070H9 CI Global HealthPairCorr
  0.85HIG Global Healthcare IncomePairCorr
The ability to find closely correlated positions to CI Signature could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CI Signature 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 CI Signature - 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 CI Signature Cat to buy it.
The correlation of CI Signature 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 CI Signature moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Signature Cat 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 CI Signature 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 0P0001FKWD Fund

CI Signature financial ratios help investors to determine whether 0P0001FKWD 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 0P0001FKWD with respect to the benefits of owning CI Signature security.
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