Generation Mining Stock Forecast - Naive Prediction

GENM Stock  CAD 0.23  0.01  4.17%   
The Naive Prediction forecasted value of Generation Mining on the next trading day is expected to be 0.22 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.44. Generation Stock Forecast is based on your current time horizon. Although Generation Mining's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Generation Mining's systematic risk associated with finding meaningful patterns of Generation Mining fundamentals over time.
  
As of the 4th of October 2024, Payables Turnover is likely to grow to 825.44, while Inventory Turnover is likely to drop 3.51. . As of the 4th of October 2024, Common Stock Shares Outstanding is likely to drop to about 107 M. In addition to that, Net Loss is likely to grow to about (48.1 M).
A naive forecasting model for Generation Mining is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Generation Mining 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.

Generation Mining Naive Prediction Price Forecast For the 5th of October

Given 90 days horizon, the Naive Prediction forecasted value of Generation Mining on the next trading day is expected to be 0.22 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000084, and the sum of the absolute errors of 0.44.
Please note that although there have been many attempts to predict Generation 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 Generation Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Generation Mining Stock Forecast Pattern

Backtest Generation MiningGeneration Mining Price PredictionBuy or Sell Advice 

Generation Mining Forecasted Value

In the context of forecasting Generation Mining'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. Generation Mining's downside and upside margins for the forecasting period are 0 and 3.81, respectively. We have considered Generation Mining'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
0.23
0.22
Expected Value
3.81
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 Generation Mining stock data series using in forecasting. Note that when a statistical model is used to represent Generation Mining 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 Criteria108.7259
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0072
MAPEMean absolute percentage error0.0291
SAESum of the absolute errors0.4381
This model is not at all useful as a medium-long range forecasting tool of Generation Mining. 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 Generation Mining. 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 Generation Mining

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Generation Mining. 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 Generation Mining'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
0.010.233.82
Details
Intrinsic
Valuation
LowRealHigh
0.010.203.79
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.005-0.005-0.005
Details

Other Forecasting Options for Generation Mining

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

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

Generation Mining 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 Generation Mining'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 Generation Mining's current price.

Generation Mining Market Strength Events

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

Generation Mining Risk Indicators

The analysis of Generation Mining'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 Generation Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting generation 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 Generation Mining

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 Generation Mining 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 Generation Mining will appreciate offsetting losses from the drop in the long position's value.

Moving together with Generation Stock

  0.69IE Ivanhoe EnergyPairCorr
  0.79INFM Infinico Metals CorpPairCorr

Moving against Generation Stock

  0.78BRK Berkshire Hathaway CDRPairCorr
  0.74WMT Walmart Inc CDRPairCorr
  0.73UNH UnitedHealth Group CDR Earnings Call This WeekPairCorr
  0.45COST Costco Wholesale CorpPairCorr
The ability to find closely correlated positions to Generation Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Generation Mining 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 Generation Mining - 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 Generation Mining to buy it.
The correlation of Generation Mining 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 Generation Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Generation Mining 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 Generation Mining 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 Generation Stock

Generation Mining financial ratios help investors to determine whether Generation 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 Generation with respect to the benefits of owning Generation Mining security.