STANDARD ALLIANCE (Nigeria) Market Value
| STDINSURE | 0.20 0.00 0.00% |
| Symbol | STANDARD |
STANDARD ALLIANCE '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 STANDARD ALLIANCE'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 STANDARD ALLIANCE.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in STANDARD ALLIANCE on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding STANDARD ALLIANCE INSURANCE or generate 0.0% return on investment in STANDARD ALLIANCE over 30 days.
STANDARD ALLIANCE 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 STANDARD ALLIANCE'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 STANDARD ALLIANCE INSURANCE upside and downside potential and time the market with a certain degree of confidence.
STANDARD ALLIANCE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for STANDARD ALLIANCE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as STANDARD ALLIANCE's standard deviation. In reality, there are many statistical measures that can use STANDARD ALLIANCE historical prices to predict the future STANDARD ALLIANCE's volatility.STANDARD ALLIANCE Backtested Returns
We have found three technical indicators for STANDARD ALLIANCE, which you can use to evaluate the volatility of the company. The entity owns a Beta (Systematic Risk) of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and STANDARD ALLIANCE are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
STANDARD ALLIANCE INSURANCE has perfect predictability. Overlapping area represents the amount of predictability between STANDARD ALLIANCE time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 STANDARD ALLIANCE price movement. The serial correlation of 1.0 indicates that 100.0% of current STANDARD ALLIANCE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
STANDARD ALLIANCE lagged returns against current returns
Autocorrelation, which is STANDARD ALLIANCE 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 STANDARD ALLIANCE's stock expected returns. We can calculate the autocorrelation of STANDARD ALLIANCE returns to help us make a trade decision. For example, suppose you find that STANDARD ALLIANCE 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 |
STANDARD ALLIANCE 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 STANDARD ALLIANCE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if STANDARD ALLIANCE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in STANDARD ALLIANCE stock over time.
Current vs Lagged Prices |
| Timeline |
STANDARD ALLIANCE Lagged Returns
When evaluating STANDARD ALLIANCE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of STANDARD ALLIANCE stock have on its future price. STANDARD ALLIANCE 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, STANDARD ALLIANCE autocorrelation shows the relationship between STANDARD ALLIANCE stock current value and its past values and can show if there is a momentum factor associated with investing in STANDARD ALLIANCE 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.Additional Tools for STANDARD Stock Analysis
When running STANDARD ALLIANCE's price analysis, check to measure STANDARD ALLIANCE'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 STANDARD ALLIANCE is operating at the current time. Most of STANDARD ALLIANCE's value examination focuses on studying past and present price action to predict the probability of STANDARD ALLIANCE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move STANDARD ALLIANCE's price. Additionally, you may evaluate how the addition of STANDARD ALLIANCE to your portfolios can decrease your overall portfolio volatility.