Reynolds Consumer Products Stock Probability of Future Stock Price Finishing Under 27.52
| REYN Stock | USD 26.99 0.22 0.82% |
Reynolds |
Reynolds Consumer Target Price Odds to finish below 27.52
The tendency of Reynolds 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 Price | Horizon | Target Price | Odds to stay under $ 27.52 after 90 days |
| 26.99 | 90 days | 27.52 | about 24.01 |
Based on a normal probability distribution, the odds of Reynolds Consumer to stay under $ 27.52 after 90 days from now is about 24.01 (This Reynolds Consumer Products probability density function shows the probability of Reynolds Stock to fall within a particular range of prices over 90 days) . Probability of Reynolds Consumer price to stay between its current price of $ 26.99 and $ 27.52 at the end of the 90-day period is about 11.3 .
Given the investment horizon of 90 days Reynolds Consumer Products has a beta of -0.0424 indicating as returns on the benchmark increase, returns on holding Reynolds Consumer are expected to decrease at a much lower rate. During a bear market, however, Reynolds Consumer Products is likely to outperform the market. Additionally Reynolds Consumer Products 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. Reynolds Consumer Price Density |
| Price |
Predictive Modules for Reynolds Consumer
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Reynolds Consumer. 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 Reynolds Consumer'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.
Reynolds Consumer Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Reynolds Consumer is not an exception. The market had few large corrections towards the Reynolds Consumer'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 Reynolds Consumer Products, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Reynolds Consumer within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.21 | |
β | Beta against Dow Jones | -0.04 | |
σ | Overall volatility | 1.23 | |
Ir | Information ratio | -0.18 |
Reynolds Consumer 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 Reynolds Consumer for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Reynolds Consumer can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Reynolds Consumer generated a negative expected return over the last 90 days | |
| Reynolds Consumer has a poor financial position based on the latest SEC disclosures | |
| About 74.0% of the company outstanding shares are owned by corporate insiders | |
| On 29th of November 2024 Reynolds Consumer paid $ 0.23 per share dividend to its current shareholders | |
| Latest headline from gurufocus.com: Insider Buying Rolf Stangl Acquires Shares in Reynolds Consumer Products Inc |
Reynolds Consumer 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 Reynolds Stock often depends not only on the future outlook of the current and potential Reynolds Consumer'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. Reynolds Consumer's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 210 M | |
| Cash And Short Term Investments | 115 M |
Reynolds Consumer Technical Analysis
Reynolds Consumer's future price can be derived by breaking down and analyzing its technical indicators over time. Reynolds Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Reynolds Consumer Products. In general, you should focus on analyzing Reynolds Stock price patterns and their correlations with different microeconomic environments and drivers.
Reynolds Consumer Predictive Forecast Models
Reynolds Consumer's time-series forecasting models is one of many Reynolds Consumer'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 Reynolds Consumer'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.