Prologis OTC Stock Forecast - Naive Prediction

PLDGP Stock  USD 59.00  0.24  0.41%   
The Naive Prediction forecasted value of Prologis on the next trading day is expected to be 59.93 with a mean absolute deviation of 0.61 and the sum of the absolute errors of 37.43. Prologis OTC Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Prologis is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Prologis 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.

Prologis Naive Prediction Price Forecast For the 28th of November

Given 90 days horizon, the Naive Prediction forecasted value of Prologis on the next trading day is expected to be 59.93 with a mean absolute deviation of 0.61, mean absolute percentage error of 1.16, and the sum of the absolute errors of 37.43.
Please note that although there have been many attempts to predict Prologis OTC 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 Prologis' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Prologis OTC Stock Forecast Pattern

Backtest PrologisPrologis Price PredictionBuy or Sell Advice 

Prologis Forecasted Value

In the context of forecasting Prologis' OTC 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. Prologis' downside and upside margins for the forecasting period are 57.83 and 62.04, respectively. We have considered Prologis' 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
59.00
59.93
Expected Value
62.04
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 Prologis otc stock data series using in forecasting. Note that when a statistical model is used to represent Prologis otc 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 Criteria118.2559
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6136
MAPEMean absolute percentage error0.0104
SAESum of the absolute errors37.4314
This model is not at all useful as a medium-long range forecasting tool of Prologis. 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 Prologis. 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 Prologis

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Prologis. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
56.8959.0061.11
Details
Intrinsic
Valuation
LowRealHigh
49.0451.1564.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
56.7958.3659.93
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Prologis. Your research has to be compared to or analyzed against Prologis' peers to derive any actionable benefits. When done correctly, Prologis' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Prologis.

Other Forecasting Options for Prologis

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

View Prologis Related Equities

 Risk & Return  Correlation

Prologis Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Prologis' 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 Prologis' current price.

Prologis Market Strength Events

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

Prologis Risk Indicators

The analysis of Prologis' 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 Prologis' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting prologis otc 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 Prologis

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

Moving against Prologis OTC Stock

  0.59BAC-PL Bank of AmericaPairCorr
  0.36ITCL Banco Ita ChilePairCorr
  0.32NDAQ Nasdaq IncPairCorr
The ability to find closely correlated positions to Prologis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Prologis 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 Prologis - 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 Prologis to buy it.
The correlation of Prologis 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 Prologis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Prologis 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 Prologis 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

Additional Tools for Prologis OTC Stock Analysis

When running Prologis' price analysis, check to measure Prologis' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Prologis is operating at the current time. Most of Prologis' value examination focuses on studying past and present price action to predict the probability of Prologis' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Prologis' price. Additionally, you may evaluate how the addition of Prologis to your portfolios can decrease your overall portfolio volatility.