KERN Old Stock Forecast - Naive Prediction

KERNDelisted Stock  USD 0.61  0.01  1.67%   
The Naive Prediction forecasted value of KERN Old on the next trading day is expected to be 0.63 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.06. KERN Stock Forecast is based on your current time horizon.
  
A naive forecasting model for KERN Old is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of KERN Old 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.

KERN Old Naive Prediction Price Forecast For the 3rd of December

Given 90 days horizon, the Naive Prediction forecasted value of KERN Old on the next trading day is expected to be 0.63 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.06.
Please note that although there have been many attempts to predict KERN 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 KERN Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KERN Old Stock Forecast Pattern

Backtest KERN OldKERN Old Price PredictionBuy or Sell Advice 

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 KERN Old stock data series using in forecasting. Note that when a statistical model is used to represent KERN Old 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 Criteria110.6102
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0174
MAPEMean absolute percentage error0.026
SAESum of the absolute errors1.0612
This model is not at all useful as a medium-long range forecasting tool of KERN Old. 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 KERN Old. 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 KERN Old

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KERN Old. 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.
Hype
Prediction
LowEstimatedHigh
0.610.610.61
Details
Intrinsic
Valuation
LowRealHigh
0.550.550.67
Details

View KERN Old Related Equities

 Risk & Return  Correlation

KERN Old Market Strength Events

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

KERN Old Risk Indicators

The analysis of KERN Old'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 KERN Old's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kern 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 KERN Old

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 KERN Old 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 KERN Old will appreciate offsetting losses from the drop in the long position's value.

Moving against KERN Stock

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The ability to find closely correlated positions to KERN Old could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KERN Old 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 KERN Old - 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 KERN Old to buy it.
The correlation of KERN Old 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 KERN Old moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KERN Old 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 KERN Old 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
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Consideration for investing in KERN Stock

If you are still planning to invest in KERN Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the KERN Old's history and understand the potential risks before investing.
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