Softimat (Belgium) Market Value
| SOFT Stock | EUR 0.92 0.01 1.08% |
| Symbol | Softimat |
Softimat '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 Softimat'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 Softimat.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Softimat on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Softimat SA or generate 0.0% return on investment in Softimat over 30 days. Softimat is related to or competes with Immobel, Exmar NV, Iep Invest, Montea CVA, Biocartis Group, Elia Group, and Fagron NV. It specializes in office and residential real estate activities More
Softimat 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 Softimat'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 Softimat SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 19.09 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 1.08 |
Softimat Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Softimat's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Softimat's standard deviation. In reality, there are many statistical measures that can use Softimat historical prices to predict the future Softimat's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.15) |
Softimat SA Backtested Returns
Softimat SA owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0509, which indicates the firm had a -0.0509% return per unit of risk over the last 3 months. Softimat SA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Softimat's Variance of 3.75, risk adjusted performance of (0.01), and Coefficient Of Variation of (6,399) to confirm the risk estimate we provide. The entity has a beta of 0.27, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Softimat's returns are expected to increase less than the market. However, during the bear market, the loss of holding Softimat is expected to be smaller as well. At this point, Softimat SA has a negative expected return of -0.0955%. Please make sure to validate Softimat's information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Softimat SA performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.35 |
Below average predictability
Softimat SA has below average predictability. Overlapping area represents the amount of predictability between Softimat time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Softimat SA price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Softimat price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Softimat SA lagged returns against current returns
Autocorrelation, which is Softimat 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 Softimat's stock expected returns. We can calculate the autocorrelation of Softimat returns to help us make a trade decision. For example, suppose you find that Softimat 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 |
Softimat 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 Softimat stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Softimat stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Softimat stock over time.
Current vs Lagged Prices |
| Timeline |
Softimat Lagged Returns
When evaluating Softimat's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Softimat stock have on its future price. Softimat 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, Softimat autocorrelation shows the relationship between Softimat stock current value and its past values and can show if there is a momentum factor associated with investing in Softimat SA.
Regressed Prices |
| Timeline |
Pair Trading with Softimat
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Softimat position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Softimat will appreciate offsetting losses from the drop in the long position's value.Moving together with Softimat Stock
Moving against Softimat Stock
The ability to find closely correlated positions to Softimat could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Softimat when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Softimat - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Softimat SA to buy it.
The correlation of Softimat is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Softimat moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Softimat SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Softimat can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Softimat Stock Analysis
When running Softimat's price analysis, check to measure Softimat'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 Softimat is operating at the current time. Most of Softimat's value examination focuses on studying past and present price action to predict the probability of Softimat's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Softimat's price. Additionally, you may evaluate how the addition of Softimat to your portfolios can decrease your overall portfolio volatility.