REAL ESTATE (Zambia) Market Value
| REIZUSD Stock | 0.07 0.00 0.00% |
| Symbol | REAL |
REAL ESTATE '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 REAL ESTATE'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 REAL ESTATE.
| 01/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in REAL ESTATE on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding REAL ESTATE INVESTMENTS or generate 0.0% return on investment in REAL ESTATE over 690 days.
REAL ESTATE 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 REAL ESTATE'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 REAL ESTATE INVESTMENTS upside and downside potential and time the market with a certain degree of confidence.
REAL ESTATE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for REAL ESTATE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as REAL ESTATE's standard deviation. In reality, there are many statistical measures that can use REAL ESTATE historical prices to predict the future REAL ESTATE's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of REAL ESTATE'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.
REAL ESTATE INVESTMENTS Backtested Returns
We have found three technical indicators for REAL ESTATE, which you can use to evaluate the volatility of the company. The company owns a Beta (Systematic Risk) of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and REAL ESTATE are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
REAL ESTATE INVESTMENTS has no correlation between past and present. Overlapping area represents the amount of predictability between REAL ESTATE time series from 9th of January 2023 to 20th of December 2023 and 20th of December 2023 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 REAL ESTATE INVESTMENTS price movement. The serial correlation of 0.0 indicates that just 0.0% of current REAL ESTATE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
REAL ESTATE INVESTMENTS lagged returns against current returns
Autocorrelation, which is REAL ESTATE 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 REAL ESTATE's stock expected returns. We can calculate the autocorrelation of REAL ESTATE returns to help us make a trade decision. For example, suppose you find that REAL ESTATE 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 |
REAL ESTATE 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 REAL ESTATE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if REAL ESTATE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in REAL ESTATE stock over time.
Current vs Lagged Prices |
| Timeline |
REAL ESTATE Lagged Returns
When evaluating REAL ESTATE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of REAL ESTATE stock have on its future price. REAL ESTATE 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, REAL ESTATE autocorrelation shows the relationship between REAL ESTATE stock current value and its past values and can show if there is a momentum factor associated with investing in REAL ESTATE INVESTMENTS.
Regressed Prices |
| Timeline |