Softlogic Life (Sri Lanka) Market Value
| AAICN0000 | 62.20 2.70 4.54% |
| Symbol | Softlogic |
Please note, there is a significant difference between Softlogic Life's value and its price as these two are different measures arrived at by different means. Investors typically determine if Softlogic Life is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Softlogic Life's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Softlogic 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 Softlogic 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 Softlogic Life.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in Softlogic Life on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Softlogic Life Insurance or generate 0.0% return on investment in Softlogic Life over 30 days. More
Softlogic 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 Softlogic 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 Softlogic Life Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.6 | |||
| Information Ratio | 0.0514 | |||
| Maximum Drawdown | 9.81 | |||
| Value At Risk | (2.41) | |||
| Potential Upside | 4.0 |
Softlogic Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Softlogic Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Softlogic Life's standard deviation. In reality, there are many statistical measures that can use Softlogic Life historical prices to predict the future Softlogic Life's volatility.| Risk Adjusted Performance | 0.0827 | |||
| Jensen Alpha | 0.1511 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0593 | |||
| Treynor Ratio | 0.4925 |
Softlogic Life Insurance Backtested Returns
At this point, Softlogic Life is very steady. Softlogic Life Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0591, which indicates the firm had a 0.0591% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Softlogic Life Insurance, which you can use to evaluate the volatility of the company. Please validate Softlogic Life's Risk Adjusted Performance of 0.0827, coefficient of variation of 946.62, and Semi Deviation of 1.31 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. Softlogic Life has a performance score of 4 on a scale of 0 to 100. The entity has a beta of 0.38, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Softlogic Life's returns are expected to increase less than the market. However, during the bear market, the loss of holding Softlogic Life is expected to be smaller as well. Softlogic Life Insurance right now has a risk of 1.81%. Please validate Softlogic Life potential upside, rate of daily change, and the relationship between the sortino ratio and skewness , to decide if Softlogic Life will be following its existing price patterns.
Auto-correlation | 0.34 |
Below average predictability
Softlogic Life Insurance has below average predictability. Overlapping area represents the amount of predictability between Softlogic Life time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Softlogic Life Insurance price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Softlogic Life price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | -0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 2.58 |
Softlogic Life Insurance lagged returns against current returns
Autocorrelation, which is Softlogic 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 Softlogic Life's stock expected returns. We can calculate the autocorrelation of Softlogic Life returns to help us make a trade decision. For example, suppose you find that Softlogic 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 |
Softlogic 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 Softlogic Life stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Softlogic Life stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Softlogic Life stock over time.
Current vs Lagged Prices |
| Timeline |
Softlogic Life Lagged Returns
When evaluating Softlogic Life's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Softlogic Life stock have on its future price. Softlogic 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, Softlogic Life autocorrelation shows the relationship between Softlogic Life stock current value and its past values and can show if there is a momentum factor associated with investing in Softlogic Life Insurance.
Regressed Prices |
| Timeline |
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Softlogic Life financial ratios help investors to determine whether Softlogic 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 Softlogic with respect to the benefits of owning Softlogic Life security.