AFRICAN ALLIANCE (Nigeria) Market Value
| AFRINSURE | 0.20 0.00 0.00% |
| Symbol | AFRICAN |
AFRICAN 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 AFRICAN 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 AFRICAN ALLIANCE.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in AFRICAN ALLIANCE on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding AFRICAN ALLIANCE INSURANCE or generate 0.0% return on investment in AFRICAN ALLIANCE over 90 days.
AFRICAN 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 AFRICAN 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 AFRICAN ALLIANCE INSURANCE upside and downside potential and time the market with a certain degree of confidence.
AFRICAN ALLIANCE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AFRICAN ALLIANCE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AFRICAN ALLIANCE's standard deviation. In reality, there are many statistical measures that can use AFRICAN ALLIANCE historical prices to predict the future AFRICAN ALLIANCE's volatility.AFRICAN ALLIANCE INS Backtested Returns
We have found three technical indicators for AFRICAN ALLIANCE INSURANCE, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and AFRICAN ALLIANCE are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
AFRICAN ALLIANCE INSURANCE has no correlation between past and present. Overlapping area represents the amount of predictability between AFRICAN ALLIANCE time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 AFRICAN ALLIANCE INS price movement. The serial correlation of 0.0 indicates that just 0.0% of current AFRICAN ALLIANCE 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 |
AFRICAN ALLIANCE INS lagged returns against current returns
Autocorrelation, which is AFRICAN 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 AFRICAN ALLIANCE's stock expected returns. We can calculate the autocorrelation of AFRICAN ALLIANCE returns to help us make a trade decision. For example, suppose you find that AFRICAN 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 |
AFRICAN 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 AFRICAN ALLIANCE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AFRICAN ALLIANCE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AFRICAN ALLIANCE stock over time.
Current vs Lagged Prices |
| Timeline |
AFRICAN ALLIANCE Lagged Returns
When evaluating AFRICAN ALLIANCE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AFRICAN ALLIANCE stock have on its future price. AFRICAN 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, AFRICAN ALLIANCE autocorrelation shows the relationship between AFRICAN ALLIANCE stock current value and its past values and can show if there is a momentum factor associated with investing in AFRICAN 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 AFRICAN Stock Analysis
When running AFRICAN ALLIANCE's price analysis, check to measure AFRICAN 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 AFRICAN ALLIANCE is operating at the current time. Most of AFRICAN ALLIANCE's value examination focuses on studying past and present price action to predict the probability of AFRICAN 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 AFRICAN ALLIANCE's price. Additionally, you may evaluate how the addition of AFRICAN ALLIANCE to your portfolios can decrease your overall portfolio volatility.