SBI Life (India) Market Value
| SBILIFE Stock | 1,485 27.40 1.88% |
| Symbol | SBI |
SBI Life '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 SBI Life's stock 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 SBI Life.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in SBI Life on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding SBI Life Insurance or generate 0.0% return on investment in SBI Life over 90 days. SBI Life is related to or competes with Garware Hi-Tech, Megastar Foods, Gallantt Ispat, Reliance Communications, Jayant Agro, Apex Frozen, and Mrs Bectors. SBI Life is entity of India. It is traded as Stock on NSE exchange. More
SBI Life 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 SBI Life's stock 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 SBI Life Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0901 | |||
| Maximum Drawdown | 5.67 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 2.77 |
SBI Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SBI Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBI Life's standard deviation. In reality, there are many statistical measures that can use SBI Life historical prices to predict the future SBI Life's volatility.| Risk Adjusted Performance | 0.0281 | |||
| Jensen Alpha | 0.0292 | |||
| Total Risk Alpha | 0.1821 | |||
| Sortino Ratio | 0.1087 | |||
| Treynor Ratio | 4.62 |
SBI Life Insurance Backtested Returns
At this point, SBI Life is very steady. SBI Life Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0703, which indicates the company had a 0.0703 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SBI Life Insurance, which you can use to evaluate the volatility of the entity. Please validate SBI Life's Downside Deviation of 1.16, market risk adjusted performance of 4.63, and Risk Adjusted Performance of 0.0281 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. SBI Life has a performance score of 5 on a scale of 0 to 100. The firm has a beta of 0.0062, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SBI Life's returns are expected to increase less than the market. However, during the bear market, the loss of holding SBI Life is expected to be smaller as well. SBI Life Insurance now has a risk of 1.44%. Please validate SBI Life sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to decide if SBI Life will be following its existing price patterns.
Auto-correlation | -0.2 |
Insignificant reverse predictability
SBI Life Insurance has insignificant reverse predictability. Overlapping area represents the amount of predictability between SBI Life time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SBI Life Insurance price movement. The serial correlation of -0.2 indicates that over 20.0% of current SBI Life price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 887.52 |
SBI Life Insurance lagged returns against current returns
Autocorrelation, which is SBI Life stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SBI Life's stock expected returns. We can calculate the autocorrelation of SBI Life returns to help us make a trade decision. For example, suppose you find that SBI Life has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
SBI Life regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SBI Life stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SBI Life stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SBI Life stock over time.
Current vs Lagged Prices |
| Timeline |
SBI Life Lagged Returns
When evaluating SBI Life's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SBI Life stock have on its future price. SBI Life autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SBI Life autocorrelation shows the relationship between SBI Life stock current value and its past values and can show if there is a momentum factor associated with investing in SBI Life Insurance.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.