Qlife Holding (Sweden) Probability of Future Stock Price Finishing Over 2.86
QLIFE Stock | SEK 2.14 0.10 4.90% |
Qlife |
Qlife Holding Target Price Odds to finish over 2.86
The tendency of Qlife 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 move over kr 2.86 or more in 90 days |
2.14 | 90 days | 2.86 | about 6.16 |
Based on a normal probability distribution, the odds of Qlife Holding to move over kr 2.86 or more in 90 days from now is about 6.16 (This Qlife Holding AB probability density function shows the probability of Qlife Stock to fall within a particular range of prices over 90 days) . Probability of Qlife Holding AB price to stay between its current price of kr 2.14 and kr 2.86 at the end of the 90-day period is about 86.6 .
Assuming the 90 days trading horizon Qlife Holding has a beta of 0.0797 indicating as returns on the market go up, Qlife Holding average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Qlife Holding AB will be expected to be much smaller as well. Additionally Qlife Holding AB 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. Qlife Holding Price Density |
Price |
Predictive Modules for Qlife Holding
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Qlife Holding AB. 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 Qlife Holding'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.
Qlife Holding Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Qlife Holding is not an exception. The market had few large corrections towards the Qlife Holding'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 Qlife Holding AB, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Qlife Holding within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.39 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 0.24 | |
Ir | Information ratio | -0.08 |
Qlife Holding 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 Qlife Holding for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Qlife Holding AB can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Qlife Holding AB generated a negative expected return over the last 90 days | |
Qlife Holding AB has high historical volatility and very poor performance | |
The company reported the revenue of 39.61 M. Net Loss for the year was (48.84 M) with profit before overhead, payroll, taxes, and interest of 44.54 M. | |
Qlife Holding AB has accumulated about 108.36 M in cash with (26.05 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 7.0, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Qlife Holding 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 Qlife Stock often depends not only on the future outlook of the current and potential Qlife Holding'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. Qlife Holding's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 107.5 M | |
Cash And Short Term Investments | 73.5 M |
Qlife Holding Technical Analysis
Qlife Holding's future price can be derived by breaking down and analyzing its technical indicators over time. Qlife Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Qlife Holding AB. In general, you should focus on analyzing Qlife Stock price patterns and their correlations with different microeconomic environments and drivers.
Qlife Holding Predictive Forecast Models
Qlife Holding's time-series forecasting models is one of many Qlife Holding'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 Qlife Holding'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 Qlife Holding AB
Checking the ongoing alerts about Qlife Holding for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Qlife Holding AB help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Qlife Holding AB generated a negative expected return over the last 90 days | |
Qlife Holding AB has high historical volatility and very poor performance | |
The company reported the revenue of 39.61 M. Net Loss for the year was (48.84 M) with profit before overhead, payroll, taxes, and interest of 44.54 M. | |
Qlife Holding AB has accumulated about 108.36 M in cash with (26.05 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 7.0, which can makes it an attractive takeover target, given it will continue generating positive cash flow. |
Additional Tools for Qlife Stock Analysis
When running Qlife Holding's price analysis, check to measure Qlife Holding'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 Qlife Holding is operating at the current time. Most of Qlife Holding's value examination focuses on studying past and present price action to predict the probability of Qlife Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qlife Holding's price. Additionally, you may evaluate how the addition of Qlife Holding to your portfolios can decrease your overall portfolio volatility.