Applied UV Preferred Stock Forecast - Naive Prediction

AUVIPDelisted Preferred Stock  USD 0.03  0.00  0.00%   
The Naive Prediction forecasted value of Applied UV Preferred on the next trading day is expected to be 1.04 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.13. Applied Preferred Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Applied UV is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Applied UV Preferred 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.

Applied UV Naive Prediction Price Forecast For the 3rd of December

Given 90 days horizon, the Naive Prediction forecasted value of Applied UV Preferred on the next trading day is expected to be 1.04 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.30, and the sum of the absolute errors of 23.13.
Please note that although there have been many attempts to predict Applied Preferred 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 Applied UV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Applied UV Preferred Stock Forecast Pattern

Backtest Applied UVApplied UV 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 Applied UV preferred stock data series using in forecasting. Note that when a statistical model is used to represent Applied UV preferred 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 Criteria116.9099
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3791
MAPEMean absolute percentage error3.1016
SAESum of the absolute errors23.1259
This model is not at all useful as a medium-long range forecasting tool of Applied UV Preferred. 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 Applied UV. 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 Applied UV

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied UV Preferred. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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
0.030.030.03
Details
Intrinsic
Valuation
LowRealHigh
0.030.030.03
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.050.080.22
Details

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

Applied UV Market Strength Events

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

Applied UV Risk Indicators

The analysis of Applied UV'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 Applied UV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting applied preferred 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 Applied UV

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 Applied UV 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 Applied UV will appreciate offsetting losses from the drop in the long position's value.

Moving against Applied Preferred Stock

  0.94PTAIF PT Astra InternationalPairCorr
  0.92SSNLF Samsung ElectronicsPairCorr
  0.88JXN-PA Jackson FinancialPairCorr
  0.78HRSHF Haier Smart Home Upward RallyPairCorr
  0.77MAWHY Man Wah HoldingsPairCorr
The ability to find closely correlated positions to Applied UV could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied UV 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 Applied UV - 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 Applied UV Preferred to buy it.
The correlation of Applied UV 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 Applied UV moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied UV Preferred 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 Applied UV 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 Trending Equities 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 gross domestic product.
You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

Other Consideration for investing in Applied Preferred Stock

If you are still planning to invest in Applied UV Preferred 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 Applied UV's history and understand the potential risks before investing.
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