PARKSON Retail Pink Sheet Forecast - Naive Prediction

PKSGY Stock  USD 0.28  0.00  0.00%   
The Naive Prediction forecasted value of PARKSON Retail Group on the next trading day is expected to be 0.28 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. PARKSON Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for PARKSON Retail is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PARKSON Retail Group 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.

PARKSON Retail Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of PARKSON Retail Group on the next trading day is expected to be 0.28 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict PARKSON 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 PARKSON Retail's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PARKSON Retail Pink Sheet Forecast Pattern

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PARKSON Retail Forecasted Value

In the context of forecasting PARKSON Retail's Pink Sheet 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. PARKSON Retail's downside and upside margins for the forecasting period are 0.28 and 0.28, respectively. We have considered PARKSON Retail's 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
0.28
0.28
Expected Value
0.28
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 PARKSON Retail pink sheet data series using in forecasting. Note that when a statistical model is used to represent PARKSON Retail 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 Criteria46.2936
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 PARKSON Retail Group. 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 PARKSON Retail. 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 PARKSON Retail

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PARKSON Retail Group. 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
0.280.280.28
Details
Intrinsic
Valuation
LowRealHigh
0.240.240.31
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as PARKSON Retail. Your research has to be compared to or analyzed against PARKSON Retail's peers to derive any actionable benefits. When done correctly, PARKSON Retail's 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 PARKSON Retail Group.

Other Forecasting Options for PARKSON Retail

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

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

PARKSON Retail Group Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of PARKSON Retail's 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 PARKSON Retail's current price.

PARKSON Retail Market Strength Events

Market strength indicators help investors to evaluate how PARKSON Retail 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 PARKSON Retail shares will generate the highest return on investment. By undertsting and applying PARKSON Retail pink sheet market strength indicators, traders can identify PARKSON Retail Group entry and exit signals to maximize returns.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for PARKSON Pink Sheet Analysis

When running PARKSON Retail's price analysis, check to measure PARKSON Retail's 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 PARKSON Retail is operating at the current time. Most of PARKSON Retail's value examination focuses on studying past and present price action to predict the probability of PARKSON Retail's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PARKSON Retail's price. Additionally, you may evaluate how the addition of PARKSON Retail to your portfolios can decrease your overall portfolio volatility.