Life Insurance Stock Market Value
| LINS Stock | USD 45.00 0.00 0.00% |
| Symbol | Life |
Life Insurance 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Life Insurance's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Life Insurance.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Life Insurance on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Life Insurance or generate 0.0% return on investment in Life Insurance over 90 days. Life Insurance is related to or competes with Winmill Co, Standard Premium, PMI, ABV Consulting, Southern Banc, and ESG Global. Life Insurance Company Of Alabama operates as a life insurance company in the United States More
Life Insurance Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Life Insurance's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Life Insurance upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0922 | |||
| Maximum Drawdown | 18.42 |
Life Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Life Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Life Insurance's standard deviation. In reality, there are many statistical measures that can use Life Insurance historical prices to predict the future Life Insurance's volatility.| Risk Adjusted Performance | 0.1058 | |||
| Jensen Alpha | 0.2673 | |||
| Total Risk Alpha | 0.1007 | |||
| Treynor Ratio | 9.15 |
Life Insurance February 13, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1058 | |||
| Market Risk Adjusted Performance | 9.16 | |||
| Mean Deviation | 0.5498 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 2.27 | |||
| Variance | 5.14 | |||
| Information Ratio | 0.0922 | |||
| Jensen Alpha | 0.2673 | |||
| Total Risk Alpha | 0.1007 | |||
| Treynor Ratio | 9.15 | |||
| Maximum Drawdown | 18.42 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Life Insurance Backtested Returns
Life Insurance appears to be very steady, given 3 months investment horizon. Life Insurance has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13 % return per unit of risk over the last 3 months. We have found sixteen technical indicators for Life Insurance, which you can use to evaluate the volatility of the firm. Please exercise Life Insurance's Standard Deviation of 2.27, risk adjusted performance of 0.1058, and Mean Deviation of 0.5498 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Life Insurance holds a performance score of 10. The company secures a Beta (Market Risk) of 0.0294, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Life Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Life Insurance is expected to be smaller as well. Please check Life Insurance's coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day typical price , to make a quick decision on whether Life Insurance's current price movements will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Life Insurance has no correlation between past and present. Overlapping area represents the amount of predictability between Life Insurance time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Life Insurance price movement. The serial correlation of 0.0 indicates that just 0.0% of current Life Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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Additional Tools for Life Pink Sheet 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.