SIC INSURANCE (Ghana) Market Value
| SIC Stock | 0.25 0.00 0.00% |
| Symbol | SIC |
SIC 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 SIC INSURANCE'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 SIC INSURANCE.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in SIC INSURANCE on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding SIC INSURANCE ANY or generate 0.0% return on investment in SIC INSURANCE over 30 days.
SIC 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 SIC INSURANCE'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 SIC INSURANCE ANY upside and downside potential and time the market with a certain degree of confidence.
SIC INSURANCE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SIC INSURANCE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SIC INSURANCE's standard deviation. In reality, there are many statistical measures that can use SIC INSURANCE historical prices to predict the future SIC INSURANCE's volatility.SIC INSURANCE ANY Backtested Returns
We have found three technical indicators for SIC INSURANCE, 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 SIC INSURANCE are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
SIC INSURANCE ANY has no correlation between past and present. Overlapping area represents the amount of predictability between SIC INSURANCE time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 SIC INSURANCE ANY price movement. The serial correlation of 0.0 indicates that just 0.0% of current SIC 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 |
SIC INSURANCE ANY lagged returns against current returns
Autocorrelation, which is SIC INSURANCE 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 SIC INSURANCE's stock expected returns. We can calculate the autocorrelation of SIC INSURANCE returns to help us make a trade decision. For example, suppose you find that SIC INSURANCE 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 |
SIC INSURANCE 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 SIC INSURANCE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SIC INSURANCE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SIC INSURANCE stock over time.
Current vs Lagged Prices |
| Timeline |
SIC INSURANCE Lagged Returns
When evaluating SIC INSURANCE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SIC INSURANCE stock have on its future price. SIC INSURANCE 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, SIC INSURANCE autocorrelation shows the relationship between SIC INSURANCE stock current value and its past values and can show if there is a momentum factor associated with investing in SIC INSURANCE ANY.
Regressed Prices |
| Timeline |