SBI Life (India) Odds of Future Stock Price Finishing Over 1461.85

SBILIFE Stock   1,401  5.30  0.38%   
SBI Life's future price is the expected price of SBI Life instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of SBI Life Insurance performance during a given time horizon utilizing its historical volatility. Check out SBI Life Backtesting, SBI Life Valuation, SBI Life Correlation, SBI Life Hype Analysis, SBI Life Volatility, SBI Life History as well as SBI Life Performance.
  
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SBI Life Target Price Odds to finish over 1461.85

The tendency of SBI 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 PriceHorizonTarget PriceOdds to move over  1,462  or more in 90 days
 1,401 90 days 1,462 
about 84.73
Based on a normal probability distribution, the odds of SBI Life to move over  1,462  or more in 90 days from now is about 84.73 (This SBI Life Insurance probability density function shows the probability of SBI Stock to fall within a particular range of prices over 90 days) . Probability of SBI Life Insurance price to stay between its current price of  1,401  and  1,462  at the end of the 90-day period is about 7.43 .
Assuming the 90 days trading horizon SBI Life has a beta of 0.15. This usually implies as returns on the market go up, SBI Life average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SBI Life Insurance will be expected to be much smaller as well. Additionally SBI 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.
   SBI Life Price Density   
       Price  

Predictive Modules for SBI Life

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBI Life 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.
Hype
Prediction
LowEstimatedHigh
1,4041,4051,407
Details
Intrinsic
Valuation
LowRealHigh
1,1371,1391,546
Details
Naive
Forecast
LowNextHigh
1,4041,4061,407
Details
Earnings
Estimates (0)
LowProjected EPSHigh
5.026.387.74
Details

SBI Life Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. SBI Life is not an exception. The market had few large corrections towards the SBI Life'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 SBI Life Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SBI Life within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.4
β
Beta against Dow Jones0.15
σ
Overall volatility
156.62
Ir
Information ratio -0.27

SBI Life 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 SBI Life for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SBI 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.
SBI Life Insurance generated a negative expected return over the last 90 days
About 57.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: SBI Life Insurance Stock Downgraded to Hold by MarketsMOJO Despite Profit Growth - MarketsMojo

SBI Life 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 SBI Stock often depends not only on the future outlook of the current and potential SBI Life'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. SBI Life's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares OutstandingB
Cash And Short Term Investments47.5 B

SBI Life Technical Analysis

SBI Life's future price can be derived by breaking down and analyzing its technical indicators over time. SBI Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SBI Life Insurance. In general, you should focus on analyzing SBI Stock price patterns and their correlations with different microeconomic environments and drivers.

SBI Life Predictive Forecast Models

SBI Life's time-series forecasting models is one of many SBI Life'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 SBI Life'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 SBI Life Insurance

Checking the ongoing alerts about SBI Life for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SBI Life Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
SBI Life Insurance generated a negative expected return over the last 90 days
About 57.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: SBI Life Insurance Stock Downgraded to Hold by MarketsMOJO Despite Profit Growth - MarketsMojo

Other Information on Investing in SBI Stock

SBI Life financial ratios help investors to determine whether SBI Stock 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 SBI with respect to the benefits of owning SBI Life security.