Retail Food (Australia) Probability of Future Stock Price Finishing Under 2.44

RFG Stock   2.51  0.04  1.57%   
Retail Food's future price is the expected price of Retail Food instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Retail Food Group performance during a given time horizon utilizing its historical volatility. Check out Retail Food Backtesting, Retail Food Valuation, Retail Food Correlation, Retail Food Hype Analysis, Retail Food Volatility, Retail Food History as well as Retail Food Performance.
  
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Retail Food Target Price Odds to finish below 2.44

The tendency of Retail Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to drop to  2.44  or more in 90 days
 2.51 90 days 2.44 
about 1.37
Based on a normal probability distribution, the odds of Retail Food to drop to  2.44  or more in 90 days from now is about 1.37 (This Retail Food Group probability density function shows the probability of Retail Stock to fall within a particular range of prices over 90 days) . Probability of Retail Food Group price to stay between  2.44  and its current price of 2.51 at the end of the 90-day period is roughly 2.76 .
Assuming the 90 days trading horizon Retail Food Group has a beta of -0.18 indicating as returns on the benchmark increase, returns on holding Retail Food are expected to decrease at a much lower rate. During a bear market, however, Retail Food Group is likely to outperform the market. Additionally Retail Food Group has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Retail Food Price Density   
       Price  

Predictive Modules for Retail Food

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Retail Food Group. 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
0.042.514.98
Details
Intrinsic
Valuation
LowRealHigh
0.112.244.71
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.0000
Details

Retail Food Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Retail Food is not an exception. The market had few large corrections towards the Retail Food's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Retail Food Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Retail Food within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.14
β
Beta against Dow Jones-0.18
σ
Overall volatility
0.15
Ir
Information ratio -0.07

Retail Food Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Retail Food for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Retail Food Group can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Retail Food Group generated a negative expected return over the last 90 days
About 29.0% of the company outstanding shares are owned by corporate insiders

Retail Food Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Retail Stock often depends not only on the future outlook of the current and potential Retail Food'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. Retail Food's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding2.5 B
Cash And Short Term Investments20.6 M

Retail Food Technical Analysis

Retail Food's future price can be derived by breaking down and analyzing its technical indicators over time. Retail Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Retail Food Group. In general, you should focus on analyzing Retail Stock price patterns and their correlations with different microeconomic environments and drivers.

Retail Food Predictive Forecast Models

Retail Food's time-series forecasting models is one of many Retail Food's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Retail Food's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Retail Food Group

Checking the ongoing alerts about Retail Food for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Retail Food Group help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Retail Food Group generated a negative expected return over the last 90 days
About 29.0% of the company outstanding shares are owned by corporate insiders

Additional Tools for Retail Stock Analysis

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