ITT Educational Pink Sheet Forecast - Naive Prediction

ESINQDelisted Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of ITT Educational Services on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. ITT Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for ITT Educational is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of ITT Educational Services 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.

ITT Educational Naive Prediction Price Forecast For the 19th of December

Given 90 days horizon, the Naive Prediction forecasted value of ITT Educational Services on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict ITT Pink Sheet 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 ITT Educational's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ITT Educational Pink Sheet Forecast Pattern

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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 ITT Educational pink sheet data series using in forecasting. Note that when a statistical model is used to represent ITT Educational pink sheet, 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of ITT Educational Services. 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 ITT Educational. 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 ITT Educational

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ITT Educational Services. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000850.00
Details

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

ITT Educational Market Strength Events

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

Pair Trading with ITT Educational

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 ITT Educational 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 ITT Educational will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to ITT Educational could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ITT Educational 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 ITT Educational - 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 ITT Educational Services to buy it.
The correlation of ITT Educational 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 ITT Educational moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ITT Educational Services 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 ITT Educational 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 Investing Opportunities 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 board of governors.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Consideration for investing in ITT Pink Sheet

If you are still planning to invest in ITT Educational Services 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 ITT Educational's history and understand the potential risks before investing.
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