Tangerine Equity Fund Forecast - Naive Prediction

0P0001KUBJ   14.73  0.09  0.61%   
The Naive Prediction forecasted value of Tangerine Equity Growth on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.04. Investors can use prediction functions to forecast Tangerine Equity's fund prices and determine the direction of Tangerine Equity Growth's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
A naive forecasting model for Tangerine Equity is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Tangerine Equity Growth 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.

Tangerine Equity Naive Prediction Price Forecast For the 30th of December

Given 90 days horizon, the Naive Prediction forecasted value of Tangerine Equity Growth on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.04.
Please note that although there have been many attempts to predict Tangerine 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 Tangerine Equity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tangerine Equity Fund Forecast Pattern

Tangerine Equity Forecasted Value

In the context of forecasting Tangerine Equity'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. Tangerine Equity's downside and upside margins for the forecasting period are 13.96 and 15.10, respectively. We have considered Tangerine Equity'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
14.73
14.53
Expected Value
15.10
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 Tangerine Equity fund data series using in forecasting. Note that when a statistical model is used to represent Tangerine Equity 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 Criteria113.5322
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0827
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors5.0431
This model is not at all useful as a medium-long range forecasting tool of Tangerine Equity Growth. 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 Tangerine Equity. 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 Tangerine Equity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tangerine Equity Growth. 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.

Other Forecasting Options for Tangerine Equity

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

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

Tangerine Equity Growth 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 Tangerine Equity'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 Tangerine Equity's current price.

Tangerine Equity Market Strength Events

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

Tangerine Equity Risk Indicators

The analysis of Tangerine Equity'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 Tangerine Equity's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tangerine 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 Tangerine Equity

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 Tangerine Equity 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 Tangerine Equity will appreciate offsetting losses from the drop in the long position's value.

Moving together with Tangerine Fund

  0.790P0000706A RBC Select BalancedPairCorr
  0.820P00007069 RBC PortefeuillePairCorr
  0.870P0001FAU8 TD Comfort BalancedPairCorr

Moving against Tangerine Fund

  0.490P0000S9O7 PIMCO Monthly IncomePairCorr
The ability to find closely correlated positions to Tangerine Equity could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tangerine Equity 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 Tangerine Equity - 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 Tangerine Equity Growth to buy it.
The correlation of Tangerine Equity 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 Tangerine Equity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tangerine Equity Growth 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 Tangerine Equity 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
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