Migdal Insurance (Israel) Probability of Future Stock Price Finishing Over 351.3
| MGDL Stock | ILS 472.00 23.50 4.74% |
Migdal |
Migdal Insurance Target Price Odds to finish over 351.3
The tendency of Migdal 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 S 351.30 in 90 days |
| 472.00 | 90 days | 351.30 | close to 99 |
Based on a normal probability distribution, the odds of Migdal Insurance to stay above S 351.30 in 90 days from now is close to 99 (This Migdal Insurance probability density function shows the probability of Migdal Stock to fall within a particular range of prices over 90 days) . Probability of Migdal Insurance price to stay between S 351.30 and its current price of S472.0 at the end of the 90-day period is about 72.33 .
Assuming the 90 days trading horizon Migdal Insurance has a beta of 0.37. This indicates as returns on the market go up, Migdal Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Migdal Insurance will be expected to be much smaller as well. Additionally Migdal Insurance has an alpha of 0.1706, implying that it can generate a 0.17 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Migdal Insurance Price Density |
| Price |
Predictive Modules for Migdal 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 Migdal Insurance. 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 Migdal 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.
Migdal Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Migdal Insurance is not an exception. The market had few large corrections towards the Migdal 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 Migdal Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Migdal Insurance within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.17 | |
β | Beta against NYSE Composite | 0.37 | |
σ | Overall volatility | 40.11 | |
Ir | Information ratio | 0.06 |
Migdal 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 Migdal Insurance for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Migdal 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.| Migdal Insurance has accumulated S5.33 Billion in debt which can lead to volatile earnings | |
| About 64.0% of the company outstanding shares are owned by corporate insiders |
Migdal 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 Migdal Stock often depends not only on the future outlook of the current and potential Migdal 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. Migdal Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.1 B |
Migdal Insurance Technical Analysis
Migdal Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Migdal Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Migdal Insurance. In general, you should focus on analyzing Migdal Stock price patterns and their correlations with different microeconomic environments and drivers.
Migdal Insurance Predictive Forecast Models
Migdal Insurance's time-series forecasting models is one of many Migdal Insurance'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 Migdal 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 stock market movement and maximize returns from investment trading.
Things to note about Migdal Insurance
Checking the ongoing alerts about Migdal Insurance for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Migdal Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Migdal Insurance has accumulated S5.33 Billion in debt which can lead to volatile earnings | |
| About 64.0% of the company outstanding shares are owned by corporate insiders |
Check out Migdal Insurance Backtesting, Migdal Insurance Valuation, Migdal Insurance Correlation, Migdal Insurance Hype Analysis, Migdal Insurance Volatility, Migdal Insurance History as well as Migdal Insurance Performance. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Migdal Stock analysis
When running Migdal Insurance's price analysis, check to measure Migdal Insurance'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 Migdal Insurance is operating at the current time. Most of Migdal Insurance's value examination focuses on studying past and present price action to predict the probability of Migdal Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Migdal Insurance's price. Additionally, you may evaluate how the addition of Migdal Insurance to your portfolios can decrease your overall portfolio volatility.
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