Blue Ribbon Stock Forecast - Naive Prediction

RBN-UN Stock  CAD 8.46  0.05  0.59%   
The Naive Prediction forecasted value of Blue Ribbon Income on the next trading day is expected to be 8.34 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.30. Blue Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Blue Ribbon stock prices and determine the direction of Blue Ribbon Income's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Blue Ribbon's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Blue Ribbon's Inventory Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Payables Turnover is expected to grow to 79.57, whereas Asset Turnover is forecasted to decline to 0.06. . The current year's Common Stock Shares Outstanding is expected to grow to about 16.4 M. The current year's Net Income Applicable To Common Shares is expected to grow to about 19.6 M.
A naive forecasting model for Blue Ribbon is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Blue Ribbon 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.

Blue Ribbon Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Blue Ribbon Income on the next trading day is expected to be 8.34 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.30.
Please note that although there have been many attempts to predict Blue Stock 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 Blue Ribbon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Blue Ribbon Stock Forecast Pattern

Backtest Blue RibbonBlue Ribbon Price PredictionBuy or Sell Advice 

Blue Ribbon Forecasted Value

In the context of forecasting Blue Ribbon's Stock 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. Blue Ribbon's downside and upside margins for the forecasting period are 7.51 and 9.16, respectively. We have considered Blue Ribbon'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
8.46
8.34
Expected Value
9.16
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 Blue Ribbon stock data series using in forecasting. Note that when a statistical model is used to represent Blue Ribbon stock, 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 Criteria114.5986
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0533
MAPEMean absolute percentage error0.0062
SAESum of the absolute errors3.3031
This model is not at all useful as a medium-long range forecasting tool of Blue Ribbon 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 Blue Ribbon. 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 Blue Ribbon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Ribbon Income. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Blue Ribbon'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
7.638.469.29
Details
Intrinsic
Valuation
LowRealHigh
7.688.519.34
Details

Other Forecasting Options for Blue Ribbon

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

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

Blue Ribbon Income Technical and Predictive Analytics

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

Blue Ribbon Market Strength Events

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

Blue Ribbon Risk Indicators

The analysis of Blue Ribbon'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 Blue Ribbon's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue stock 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 Blue Ribbon

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 Blue Ribbon 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 Blue Ribbon will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Blue Ribbon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Blue Ribbon 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 Blue Ribbon - 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 Blue Ribbon Income to buy it.
The correlation of Blue Ribbon 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 Blue Ribbon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Blue Ribbon 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 Blue Ribbon 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 Blue Stock

Blue Ribbon financial ratios help investors to determine whether Blue Stock 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 Blue with respect to the benefits of owning Blue Ribbon security.