SFS REAL (Nigeria) Market Value
| SFSREIT Stock | 179.45 0.00 0.00% |
| Symbol | SFS |
SFS REAL '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 SFS REAL'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 SFS REAL.
| 11/27/2024 |
| 12/27/2024 |
If you would invest 0.00 in SFS REAL on November 27, 2024 and sell it all today you would earn a total of 0.00 from holding SFS REAL ESTATE or generate 0.0% return on investment in SFS REAL over 30 days.
SFS REAL 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 SFS REAL'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 SFS REAL ESTATE upside and downside potential and time the market with a certain degree of confidence.
SFS REAL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SFS REAL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SFS REAL's standard deviation. In reality, there are many statistical measures that can use SFS REAL historical prices to predict the future SFS REAL's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SFS REAL's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SFS REAL ESTATE Backtested Returns
We have found three technical indicators for SFS REAL ESTATE, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SFS REAL are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
SFS REAL ESTATE has no correlation between past and present. Overlapping area represents the amount of predictability between SFS REAL time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 SFS REAL ESTATE price movement. The serial correlation of 0.0 indicates that just 0.0% of current SFS REAL 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 |
SFS REAL ESTATE lagged returns against current returns
Autocorrelation, which is SFS REAL 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 SFS REAL's stock expected returns. We can calculate the autocorrelation of SFS REAL returns to help us make a trade decision. For example, suppose you find that SFS REAL 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 |
SFS REAL 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 SFS REAL stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SFS REAL stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SFS REAL stock over time.
Current vs Lagged Prices |
| Timeline |
SFS REAL Lagged Returns
When evaluating SFS REAL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SFS REAL stock have on its future price. SFS REAL 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, SFS REAL autocorrelation shows the relationship between SFS REAL stock current value and its past values and can show if there is a momentum factor associated with investing in SFS REAL ESTATE.
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 SFS Stock Analysis
When running SFS REAL's price analysis, check to measure SFS REAL'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 SFS REAL is operating at the current time. Most of SFS REAL's value examination focuses on studying past and present price action to predict the probability of SFS REAL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SFS REAL's price. Additionally, you may evaluate how the addition of SFS REAL to your portfolios can decrease your overall portfolio volatility.