Retail Estates (Belgium) Market Value
| RET Stock | EUR 66.20 0.90 1.38% |
| Symbol | Retail |
Retail Estates '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 Retail Estates' 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 Retail Estates.
| 03/01/2024 |
| 04/30/2024 |
If you would invest 0.00 in Retail Estates on March 1, 2024 and sell it all today you would earn a total of 0.00 from holding Retail Estates or generate 0.0% return on investment in Retail Estates over 60 days. Retail Estates is related to or competes with Intervest Offices, Cofinimmo, Warehouses, Montea CVA, and Aedifica. Retail Estates nv is a public regulated real estate company and more specifically a niche company that specialises in in... More
Retail Estates 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 Retail Estates' 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 Retail Estates upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0114 | |||
| Maximum Drawdown | 5.73 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 2.01 |
Retail Estates Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Retail Estates' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Retail Estates' standard deviation. In reality, there are many statistical measures that can use Retail Estates historical prices to predict the future Retail Estates' volatility.| Risk Adjusted Performance | 0.06 | |||
| Jensen Alpha | 0.1004 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0113 | |||
| Treynor Ratio | (0.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Retail Estates' 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.
Retail Estates Backtested Returns
We consider Retail Estates very steady. Retail Estates maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Retail Estates, which you can use to evaluate the volatility of the company. Please check Retail Estates' Risk Adjusted Performance of 0.06, coefficient of variation of 1126.73, and Semi Deviation of 0.9804 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. Retail Estates has a performance score of 9 on a scale of 0 to 100. The company holds a Beta of -0.1, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Retail Estates are expected to decrease at a much lower rate. During the bear market, Retail Estates is likely to outperform the market. Retail Estates right now holds a risk of 1.19%. Please check Retail Estates value at risk, downside variance, and the relationship between the maximum drawdown and potential upside , to decide if Retail Estates will be following its historical price patterns.
Auto-correlation | 0.22 |
Weak predictability
Retail Estates has weak predictability. Overlapping area represents the amount of predictability between Retail Estates time series from 1st of March 2024 to 31st of March 2024 and 31st of March 2024 to 30th of April 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 Retail Estates price movement. The serial correlation of 0.22 indicates that over 22.0% of current Retail Estates price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Retail Estates lagged returns against current returns
Autocorrelation, which is Retail Estates 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 Retail Estates' stock expected returns. We can calculate the autocorrelation of Retail Estates returns to help us make a trade decision. For example, suppose you find that Retail Estates 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 |
Retail Estates 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 Retail Estates stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Retail Estates stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Retail Estates stock over time.
Current vs Lagged Prices |
| Timeline |
Retail Estates Lagged Returns
When evaluating Retail Estates' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Retail Estates stock have on its future price. Retail Estates 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, Retail Estates autocorrelation shows the relationship between Retail Estates stock current value and its past values and can show if there is a momentum factor associated with investing in Retail Estates .
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Retail Estates Correlation, Retail Estates Volatility and Retail Estates Alpha and Beta module to complement your research on Retail Estates. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Retail Stock analysis
When running Retail Estates' price analysis, check to measure Retail Estates' 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 Retail Estates is operating at the current time. Most of Retail Estates' value examination focuses on studying past and present price action to predict the probability of Retail Estates' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Retail Estates' price. Additionally, you may evaluate how the addition of Retail Estates to your portfolios can decrease your overall portfolio volatility.
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Retail Estates technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.