Bloom Select Fund Forecast - Naive Prediction

BLB-UN Fund  CAD 7.91  0.15  1.93%   
The Naive Prediction forecasted value of Bloom Select Income on the next trading day is expected to be 8.11 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.63. Bloom Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bloom Select stock prices and determine the direction of Bloom Select Income's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bloom Select's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Bloom Select is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Bloom Select Income 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.

Bloom Select Naive Prediction Price Forecast For the 18th of March 2025

Given 90 days horizon, the Naive Prediction forecasted value of Bloom Select Income on the next trading day is expected to be 8.11 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.63.
Please note that although there have been many attempts to predict Bloom 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 Bloom Select's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bloom Select Fund Forecast Pattern

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 Bloom Select fund data series using in forecasting. Note that when a statistical model is used to represent Bloom Select 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 Criteria112.8751
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0595
MAPEMean absolute percentage error0.0076
SAESum of the absolute errors3.6284
This model is not at all useful as a medium-long range forecasting tool of Bloom Select Income. 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 Bloom Select. 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 Bloom Select

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bloom Select Income. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bloom Select'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
7.017.918.81
Details
Intrinsic
Valuation
LowRealHigh
6.997.898.79
Details

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

Bloom Select Market Strength Events

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

Bloom Select Risk Indicators

The analysis of Bloom Select'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 Bloom Select's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bloom 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 Bloom Select

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 Bloom Select 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 Bloom Select will appreciate offsetting losses from the drop in the long position's value.

Moving against Bloom Fund

  0.48GIGC Guardian Investment GradePairCorr
  0.43DXBG Dynamic Global FixedPairCorr
  0.410P0000S9O7 PIMCO Monthly IncomePairCorr
  0.36AGG Evolve Canadian AggregatePairCorr
  0.34SUN104 Sun Life MfsPairCorr
The ability to find closely correlated positions to Bloom Select could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bloom Select 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 Bloom Select - 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 Bloom Select Income to buy it.
The correlation of Bloom Select 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 Bloom Select moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bloom Select Income 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 Bloom Select 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 Bloom Fund

Bloom Select financial ratios help investors to determine whether Bloom 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 Bloom with respect to the benefits of owning Bloom Select security.
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