Pro Real Stock Forward View - Polynomial Regression

PRV-UN Stock  CAD 6.44  0.01  0.16%   
Pro Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Pro Real stock prices and determine the direction of Pro Real Estate's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Pro Real's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today the relative strength index (rsi) of Pro Real's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Pro Real's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Pro Real Estate, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Pro Real's stock price prediction:
Quarterly Earnings Growth
2.646
Wall Street Target Price
6.6875
Quarterly Revenue Growth
0.128
Using Pro Real hype-based prediction, you can estimate the value of Pro Real Estate from the perspective of Pro Real response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Pro Real Estate on the next trading day is expected to be 6.38 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.38.

Pro Real after-hype prediction price

    
  CAD 6.45  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Pro Real to cross-verify your projections.

Pro Real Additional Predictive Modules

Most predictive techniques to examine Pro price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pro using various technical indicators. When you analyze Pro charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Pro Real polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Pro Real Estate as well as the accuracy indicators are determined from the period prices.

Pro Real Polynomial Regression Price Forecast For the 19th of February

Given 90 days horizon, the Polynomial Regression forecasted value of Pro Real Estate on the next trading day is expected to be 6.38 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.38.
Please note that although there have been many attempts to predict Pro Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Pro Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pro Real Stock Forecast Pattern

Backtest Pro Real  Pro Real Price Prediction  Research Analysis  

Pro Real Forecasted Value

In the context of forecasting Pro Real's 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. Pro Real's downside and upside margins for the forecasting period are 5.48 and 7.27, respectively. We have considered Pro Real'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
6.44
6.38
Expected Value
7.27
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Pro Real stock data series using in forecasting. Note that when a statistical model is used to represent Pro Real 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 Criteria114.5316
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0545
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors3.3791
A single variable polynomial regression model attempts to put a curve through the Pro Real historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Pro Real

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pro Real Estate. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pro Real's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
5.556.457.35
Details
Intrinsic
Valuation
LowRealHigh
5.476.377.27
Details

Pro Real After-Hype Price Density Analysis

As far as predicting the price of Pro Real at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Pro Real or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Pro Real, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Pro Real Estimiated After-Hype Price Volatility

In the context of predicting Pro Real's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Pro Real's historical news coverage. Pro Real's after-hype downside and upside margins for the prediction period are 5.55 and 7.35, respectively. We have considered Pro Real's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
6.44
6.45
After-hype Price
7.35
Upside
Pro Real is not too volatile at this time. Analysis and calculation of next after-hype price of Pro Real Estate is based on 3 months time horizon.

Pro Real Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Pro Real is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Pro Real backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Pro Real, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.14 
0.90
  0.01 
  0.06 
4 Events / Month
2 Events / Month
In about 4 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
6.44
6.45
0.16 
2,250  
Notes

Pro Real Hype Timeline

Pro Real Estate is at this time traded for 6.44on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.06. Pro is anticipated to increase in value after the next headline, with the price projected to jump to 6.45 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is estimated to be 0.16%, whereas the daily expected return is at this time at 0.14%. The volatility of related hype on Pro Real is about 205.48%, with the expected price after the next announcement by competition of 6.38. The company reported the revenue of 99.21 M. Net Income was 2.38 M with profit before overhead, payroll, taxes, and interest of 62.02 M. Assuming the 90 days trading horizon the next anticipated press release will be in about 4 days.
Check out Historical Fundamental Analysis of Pro Real to cross-verify your projections.

Pro Real Related Hype Analysis

Having access to credible news sources related to Pro Real's direct competition is more important than ever and may enhance your ability to predict Pro Real's future price movements. Getting to know how Pro Real's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Pro Real may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
MRT-UNMorguard Real Estate 0.03 7 per month 1.18  0.08  2.24 (1.72) 8.70 
BTB-UNBTB Real Estate(0.20)9 per month 0.58  0.13  1.04 (1.27) 3.10 
PLZ-UNPlaza Retail REIT 0.01 5 per month 0.54  0.09  1.44 (1.17) 3.75 
FCD-UNFirm Capital Property 0.01 5 per month 0.67  0.04  1.19 (1.35) 3.40 
D-UNDream Office Real 0.03 5 per month 1.92 (0.02) 2.69 (2.88) 9.21 
APR-UNAutomotive Properties Real 0.03 4 per month 0.48  0.05  0.94 (1.05) 3.08 
MI-UNMinto Apartment Real 0.13 4 per month 0.00  0.11  1.43 (1.19) 27.71 
WFCWall Financial(0.54)6 per month 0.95  0.03  2.15 (1.56) 8.02 
MPCMadison Pacific Properties(4.18)5 per month 1.21 (0.03) 3.56 (2.94) 11.38 
MRDMelcor Developments 0.30 4 per month 0.00  0.19  1.73 (0.98) 3.66 

Other Forecasting Options for Pro Real

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

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

Pro Real Market Strength Events

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

Pro Real Risk Indicators

The analysis of Pro Real'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 Pro Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pro 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.

Story Coverage note for Pro Real

The number of cover stories for Pro Real depends on current market conditions and Pro Real's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Pro Real is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Pro Real's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Pro Real Short Properties

Pro Real's future price predictability will typically decrease when Pro Real's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Pro Real Estate often depends not only on the future outlook of the potential Pro Real's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Pro Real's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding59.4 M
Cash And Short Term Investments9.1 M

Other Information on Investing in Pro Stock

Pro Real financial ratios help investors to determine whether Pro Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pro with respect to the benefits of owning Pro Real security.