Life Insurance (India) Probability of Future Stock Price Finishing Under 938.8

LICI Stock   901.70  3.35  0.37%   
Life Insurance's future price is the expected price of Life Insurance 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 Life Insurance performance during a given time horizon utilizing its historical volatility. Check out Life Insurance Backtesting, Life Insurance Valuation, Life Insurance Correlation, Life Insurance Hype Analysis, Life Insurance Volatility, Life Insurance History as well as Life Insurance Performance.
  
Please specify Life Insurance's target price for which you would like Life Insurance odds to be computed.

Life Insurance Target Price Odds to finish below 938.8

The tendency of Life 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 stay under  938.80  after 90 days
 901.70 90 days 938.80 
about 41.64
Based on a normal probability distribution, the odds of Life Insurance to stay under  938.80  after 90 days from now is about 41.64 (This Life Insurance probability density function shows the probability of Life Stock to fall within a particular range of prices over 90 days) . Probability of Life Insurance price to stay between its current price of  901.70  and  938.80  at the end of the 90-day period is about 28.78 .
Assuming the 90 days trading horizon Life Insurance has a beta of 0.65. This indicates as returns on the market go up, Life Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Life Insurance will be expected to be much smaller as well. 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 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
901.42902.95995.56
Details
Intrinsic
Valuation
LowRealHigh
814.55929.54931.07
Details
Naive
Forecast
LowNextHigh
853.61855.14856.67
Details
Earnings
Estimates (0)
LowProjected EPSHigh
16.1416.1416.14
Details

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
-0.2
β
Beta against Dow Jones0.65
σ
Overall volatility
40.49
Ir
Information ratio -0.13

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
About 96.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: The Manufacturers Life Insurance Company Reduces Stock Position in Ziff Davis, Inc. - MarketBeat

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 Stock 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.
Common Stock Shares Outstanding6.3 B
Cash And Short Term Investments418.2 B

Life Insurance Technical Analysis

Life Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Life Stock 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 Stock 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 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 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 stock 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
About 96.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: The Manufacturers Life Insurance Company Reduces Stock Position in Ziff Davis, Inc. - MarketBeat

Additional Tools for Life Stock Analysis

When running Life Insurance's price analysis, check to measure Life 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 Life Insurance is operating at the current time. Most of Life Insurance's value examination focuses on studying past and present price action to predict the probability of Life 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 Life Insurance's price. Additionally, you may evaluate how the addition of Life Insurance to your portfolios can decrease your overall portfolio volatility.