S IMMO (Austria) Market Value
| SPI Stock | EUR 22.10 0.10 0.45% |
| Symbol | SPI |
S IMMO '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 S IMMO'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 S IMMO.
| 11/30/2023 |
| 11/24/2024 |
If you would invest 0.00 in S IMMO on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding S IMMO AG or generate 0.0% return on investment in S IMMO over 360 days. S IMMO is related to or competes with AMAG Austria, Vienna Insurance, Oberbank, Addiko Bank, Raiffeisen Bank, and Wiener Privatbank. More
S IMMO 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 S IMMO'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 S IMMO AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.71 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 0.905 |
S IMMO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S IMMO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S IMMO's standard deviation. In reality, there are many statistical measures that can use S IMMO historical prices to predict the future S IMMO's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.44) |
S IMMO AG Backtested Returns
S IMMO AG owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0758, which indicates the company had a -0.0758% return per unit of volatility over the last 3 months. S IMMO AG exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate S IMMO's Risk Adjusted Performance of (0.06), market risk adjusted performance of (0.43), and Standard Deviation of 0.6002 to confirm the risk estimate we provide. The firm has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, S IMMO's returns are expected to increase less than the market. However, during the bear market, the loss of holding S IMMO is expected to be smaller as well. At this point, S IMMO AG has a negative expected return of -0.0455%. Please make sure to validate S IMMO's accumulation distribution, and the relationship between the value at risk and day typical price , to decide if S IMMO AG performance from the past will be repeated sooner or later.
Auto-correlation | 0.26 |
Poor predictability
S IMMO AG has poor predictability. Overlapping area represents the amount of predictability between S IMMO time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th 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 S IMMO AG price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current S IMMO price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
S IMMO AG lagged returns against current returns
Autocorrelation, which is S IMMO 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 S IMMO's stock expected returns. We can calculate the autocorrelation of S IMMO returns to help us make a trade decision. For example, suppose you find that S IMMO 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 |
S IMMO 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 S IMMO stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if S IMMO stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in S IMMO stock over time.
Current vs Lagged Prices |
| Timeline |
S IMMO Lagged Returns
When evaluating S IMMO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of S IMMO stock have on its future price. S IMMO 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, S IMMO autocorrelation shows the relationship between S IMMO stock current value and its past values and can show if there is a momentum factor associated with investing in S IMMO AG.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SPI Stock
S IMMO financial ratios help investors to determine whether SPI Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SPI with respect to the benefits of owning S IMMO security.