PNM Old Stock Forecast - Naive Prediction

PNMDelisted Stock  USD 43.25  0.21  0.48%   
The Naive Prediction forecasted value of PNM Old on the next trading day is expected to be 43.08 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.81. PNM Stock Forecast is based on your current time horizon.
  
A naive forecasting model for PNM Old is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PNM 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.

PNM Old Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of PNM Old on the next trading day is expected to be 43.08 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.18, and the sum of the absolute errors of 19.81.
Please note that although there have been many attempts to predict PNM 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 PNM Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PNM Old Stock Forecast Pattern

Backtest PNM OldPNM 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 PNM Old stock data series using in forecasting. Note that when a statistical model is used to represent PNM 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 Criteria116.3881
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3247
MAPEMean absolute percentage error0.0079
SAESum of the absolute errors19.8076
This model is not at all useful as a medium-long range forecasting tool of PNM 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 PNM 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 PNM 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 PNM 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
43.2543.2543.25
Details
Intrinsic
Valuation
LowRealHigh
35.8835.8847.58
Details
Bollinger
Band Projection (param)
LowMiddleHigh
42.6543.3544.05
Details

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

PNM Old Market Strength Events

Market strength indicators help investors to evaluate how PNM 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 PNM Old shares will generate the highest return on investment. By undertsting and applying PNM Old stock market strength indicators, traders can identify PNM Old entry and exit signals to maximize returns.

PNM Old Risk Indicators

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

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Other Consideration for investing in PNM Stock

If you are still planning to invest in PNM 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 PNM Old's history and understand the potential risks before investing.
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