Big Rock Stock Forecast - Triple Exponential Smoothing

BR Stock  CAD 1.12  0.12  9.68%   
The Triple Exponential Smoothing forecasted value of Big Rock Brewery on the next trading day is expected to be 1.12 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.71. Big Stock Forecast is based on your current time horizon. Although Big Rock's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Big Rock's systematic risk associated with finding meaningful patterns of Big Rock fundamentals over time.
  
At this time, Big Rock's Inventory Turnover is very stable compared to the past year. As of the 22nd of December 2024, Fixed Asset Turnover is likely to grow to 1.34, while Payables Turnover is likely to drop 4.60. . As of the 22nd of December 2024, Common Stock Shares Outstanding is likely to drop to about 6.4 M. In addition to that, Net Loss is likely to grow to about (6.1 M).
Triple exponential smoothing for Big Rock - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Big Rock prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Big Rock price movement. However, neither of these exponential smoothing models address any seasonality of Big Rock Brewery.

Big Rock Triple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Big Rock Brewery on the next trading day is expected to be 1.12 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.71.
Please note that although there have been many attempts to predict Big 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 Big Rock's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Big Rock Stock Forecast Pattern

Backtest Big RockBig Rock Price PredictionBuy or Sell Advice 

Big Rock Forecasted Value

In the context of forecasting Big Rock'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. Big Rock's downside and upside margins for the forecasting period are 0.01 and 7.01, respectively. We have considered Big Rock'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
1.12
1.12
Expected Value
7.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Big Rock stock data series using in forecasting. Note that when a statistical model is used to represent Big Rock 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0012
MADMean absolute deviation0.0459
MAPEMean absolute percentage error0.0391
SAESum of the absolute errors2.7071
As with simple exponential smoothing, in triple exponential smoothing models past Big Rock observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Big Rock Brewery observations.

Predictive Modules for Big Rock

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Rock Brewery. 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 Big Rock'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
0.061.127.01
Details
Intrinsic
Valuation
LowRealHigh
0.050.976.86
Details

Other Forecasting Options for Big Rock

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

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

Big Rock Brewery 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 Big Rock'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 Big Rock's current price.

Big Rock Market Strength Events

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

Big Rock Risk Indicators

The analysis of Big Rock'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 Big Rock's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting big 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 Big Rock

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 Big Rock 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 Big Rock will appreciate offsetting losses from the drop in the long position's value.

Moving against Big Stock

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  0.38RY-PM Royal BankPairCorr
The ability to find closely correlated positions to Big Rock could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Big Rock 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 Big Rock - 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 Big Rock Brewery to buy it.
The correlation of Big Rock 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 Big Rock moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Big Rock Brewery 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 Big Rock 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 Big Stock

Big Rock financial ratios help investors to determine whether Big 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 Big with respect to the benefits of owning Big Rock security.