Life Insurance Stock Probability of Future Pink Sheet Price Finishing Over 15.0
| LINSA Stock | USD 15.00 1.00 7.14% |
Life |
Life Insurance Target Price Odds to finish over 15.0
The tendency of Life Pink Sheet 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 above the current price in 90 days |
| 15.00 | 90 days | 15.00 | about 68.79 |
Based on a normal probability distribution, the odds of Life Insurance to move above the current price in 90 days from now is about 68.79 (This Life Insurance probability density function shows the probability of Life Pink Sheet to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Life Insurance has a beta of -0.1. This indicates as returns on the benchmark increase, returns on holding Life Insurance are expected to decrease at a much lower rate. During a bear market, however, Life Insurance is likely to outperform the market. Additionally Life Insurance 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. Life Insurance Price Density |
| Price |
Predictive Modules for Life Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Life Insurance. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Life Insurance'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.
Life Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Life Insurance is not an exception. The market had few large corrections towards the Life Insurance'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 Life Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Life Insurance within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.13 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 0.98 | |
Ir | Information ratio | -0.17 |
Life Insurance 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 Life Insurance for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Life Insurance can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Life Insurance generated a negative expected return over the last 90 days | |
| The company has a current ratio of 0.77, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Life Insurance until it has trouble settling it off, either with new capital or with free cash flow. So, Life Insurance's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Life Insurance sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Life to invest in growth at high rates of return. When we think about Life Insurance's use of debt, we should always consider it together with cash and equity. |
Life Insurance 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 Life Pink Sheet often depends not only on the future outlook of the current and potential Life Insurance'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. Life Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
| Dividend Yield | 0.0127 | |
| Forward Annual Dividend Rate | 0.4 |
Life Insurance Technical Analysis
Life Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Life Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Life Insurance. In general, you should focus on analyzing Life Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Life Insurance Predictive Forecast Models
Life Insurance's time-series forecasting models is one of many Life Insurance's pink sheet 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 Life Insurance'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 pink sheet market movement and maximize returns from investment trading.
Things to note about Life Insurance
Checking the ongoing alerts about Life Insurance for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Life Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Life Insurance generated a negative expected return over the last 90 days | |
| The company has a current ratio of 0.77, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Life Insurance until it has trouble settling it off, either with new capital or with free cash flow. So, Life Insurance's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Life Insurance sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Life to invest in growth at high rates of return. When we think about Life Insurance's use of debt, we should always consider it together with cash and equity. |
Other Information on Investing in Life Pink Sheet
Life Insurance financial ratios help investors to determine whether Life Pink Sheet 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 Life with respect to the benefits of owning Life Insurance security.