SaveLend Group (Sweden) Probability of Future Stock Price Finishing Over 2.1
| YIELD Stock | 2.19 0.05 2.23% |
SaveLend |
SaveLend Group Target Price Odds to finish over 2.1
The tendency of SaveLend 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 above 2.10 in 90 days |
| 2.19 | 90 days | 2.10 | close to 99 |
Based on a normal probability distribution, the odds of SaveLend Group to stay above 2.10 in 90 days from now is close to 99 (This SaveLend Group AB probability density function shows the probability of SaveLend Stock to fall within a particular range of prices over 90 days) . Probability of SaveLend Group AB price to stay between 2.10 and its current price of 2.19 at the end of the 90-day period is about 1.99 .
Assuming the 90 days trading horizon SaveLend Group AB has a beta of -0.34. This entails as returns on the benchmark increase, returns on holding SaveLend Group are expected to decrease at a much lower rate. During a bear market, however, SaveLend Group AB is likely to outperform the market. Additionally SaveLend Group 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. SaveLend Group Price Density |
| Price |
Predictive Modules for SaveLend Group
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SaveLend Group 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 SaveLend Group'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.
SaveLend Group Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SaveLend Group is not an exception. The market had few large corrections towards the SaveLend Group'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 SaveLend Group AB, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SaveLend Group within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0079 | |
β | Beta against Dow Jones | -0.34 | |
σ | Overall volatility | 0.06 | |
Ir | Information ratio | -0.07 |
SaveLend Group 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 SaveLend Group for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SaveLend Group 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.| SaveLend Group AB generated a negative expected return over the last 90 days | |
| The company reported the revenue of 94.28 M. Net Loss for the year was (28.66 M) with profit before overhead, payroll, taxes, and interest of 92.26 M. | |
| SaveLend Group generates negative cash flow from operations | |
| About 65.0% of the company outstanding shares are owned by insiders |
SaveLend Group 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 SaveLend Stock often depends not only on the future outlook of the current and potential SaveLend Group'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. SaveLend Group's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 31.1 M | |
| Cash And Short Term Investments | 23.2 M |
SaveLend Group Technical Analysis
SaveLend Group's future price can be derived by breaking down and analyzing its technical indicators over time. SaveLend Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SaveLend Group AB. In general, you should focus on analyzing SaveLend Stock price patterns and their correlations with different microeconomic environments and drivers.
SaveLend Group Predictive Forecast Models
SaveLend Group's time-series forecasting models is one of many SaveLend Group'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 SaveLend Group'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 SaveLend Group AB
Checking the ongoing alerts about SaveLend Group for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SaveLend Group AB help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| SaveLend Group AB generated a negative expected return over the last 90 days | |
| The company reported the revenue of 94.28 M. Net Loss for the year was (28.66 M) with profit before overhead, payroll, taxes, and interest of 92.26 M. | |
| SaveLend Group generates negative cash flow from operations | |
| About 65.0% of the company outstanding shares are owned by insiders |
Additional Tools for SaveLend Stock Analysis
When running SaveLend Group's price analysis, check to measure SaveLend Group'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 SaveLend Group is operating at the current time. Most of SaveLend Group's value examination focuses on studying past and present price action to predict the probability of SaveLend Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SaveLend Group's price. Additionally, you may evaluate how the addition of SaveLend Group to your portfolios can decrease your overall portfolio volatility.