Life Insurance (India) Price on May 27, 2024
| LICI Stock | 891.90 1.25 0.14% |
If you're considering investing in Life Stock, it is important to understand the factors that can impact its price. As of today, the current price of Life Insurance stands at 891.90, as last reported on the 27th of December, with the highest price reaching 895.00 and the lowest price hitting 885.15 during the day. Life Insurance has Sharpe Ratio of -0.12, which conveys that the firm had a -0.12% return per unit of risk over the last 3 months. Life Insurance exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Life Insurance's Standard Deviation of 1.49, mean deviation of 1.08, and Risk Adjusted Performance of (0.11) to check out the risk estimate we provide.
At this time, Life Insurance's Total Stockholder Equity is comparatively stable compared to the past year. Other Stockholder Equity is likely to gain to about 7.6 B in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 5.1 B in 2024. . Life Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Life |
Sharpe Ratio = -0.1223
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| Negative Returns | LICI |
Estimated Market Risk
| 1.53 actual daily | 13 87% of assets are more volatile |
Expected Return
| -0.19 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.12 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Life Insurance is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Life Insurance by adding Life Insurance to a well-diversified portfolio.
Price Book 5.7697 | Book Value 130.825 | Enterprise Value 5.3 T | Price Sales 0.6517 | Shares Float 221.4 M |
Life Insurance Main Headline on 27th of May 2024
sigma 22024 Life insurance in the higher interest rate era -... by news.google.com
sigma 22024 Life insurance in the higher interest rate era Swiss Re
Life Insurance Valuation on May 27, 2024
It is possible to determine the worth of Life Insurance on a given historical date. On May 27, 2024 Life was worth 1029.41 at the beginning of the trading date compared to the closed value of 1030.45. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Life Insurance stock. Still, in general, we apply an absolute valuation method to find Life Insurance's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Life Insurance where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Life Insurance's related companies.
| Open | High | Low | Close | Volume | |
| 1,027 | 1,047 | 1,008 | 1,024 | 3,747,892 | |
05/27/2024 | 1,029 | 1,048 | 1,019 | 1,030 | 3,168,271 |
| 1,049 | 1,057 | 1,006 | 1,011 | 6,525,071 |
| Backtest Life Insurance | | | Life Insurance History | | | Life Insurance Valuation | Previous | Next |
Life Insurance Trading Date Momentum on May 27, 2024
| On May 28 2024 Life Insurance was traded for 1,011 at the closing time. The highest price during the trading period was 1,057 and the lowest recorded bid was listed for 1,006 . The volume for the day was 6.5 M. This history from May 28, 2024 contributed to the next trading day price decline. The trading delta at closing time to the next closing price was 1.94% . The trading delta at closing time to the current price is 7.84% . |
Life Insurance Fundamentals Correlations and Trends
By evaluating Life Insurance's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Life Insurance's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Life financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Life Insurance Stock history
Life Insurance investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Life is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Life Insurance will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Life Insurance stock prices may prove useful in developing a viable investing in Life Insurance
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 5.7 B | 5.1 B | |
| Net Income Applicable To Common Shares | 116.8 B | 122.7 B |
Life Insurance Stock Technical Analysis
Life Insurance technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Life Insurance Period Price Range
Low | December 27, 2024
| High |
0.00 | 0.00 |
Life Insurance cannot be verified against its exchange. Please verify the symbol is currently traded on National Stock Exchange of India. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Life Insurance December 27, 2024 Market Strength
Market strength indicators help investors to evaluate how Life Insurance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Life Insurance shares will generate the highest return on investment. By undertsting and applying Life Insurance stock market strength indicators, traders can identify Life Insurance entry and exit signals to maximize returns
Life Insurance Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Life Insurance's price direction in advance. Along with the technical and fundamental analysis of Life Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Life to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 2.74 |
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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.