S IMMO (Austria) Market Value

SPI Stock  EUR 17.50  0.12  0.68%   
S IMMO's market value is the price at which a share of S IMMO trades on a public exchange. It measures the collective expectations of S IMMO AG investors about its performance. S IMMO is trading at 17.50 as of the 29th of March 2024. This is a -0.68% down since the beginning of the trading day. The stock's open price was 17.62.
With this module, you can estimate the performance of a buy and hold strategy of S IMMO AG and determine expected loss or profit from investing in S IMMO over a given investment horizon. Check out S IMMO Correlation, S IMMO Volatility and S IMMO Alpha and Beta module to complement your research on S IMMO.
Symbol

Please note, there is a significant difference between S IMMO's value and its price as these two are different measures arrived at by different means. Investors typically determine if S IMMO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, S IMMO's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
02/28/2024
No Change 0.00  0.0 
In 30 days
03/29/2024
0.00
If you would invest  0.00  in S IMMO on February 28, 2024 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 30 days. S IMMO is related to or competes with SBM Offshore, Erste Group, Wiener Privatbank, Vienna Insurance, and UNIQA Insurance. 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of S IMMO'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.
Hype
Prediction
LowEstimatedHigh
16.2217.5018.78
Details
Intrinsic
Valuation
LowRealHigh
12.4813.7619.25
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as S IMMO. Your research has to be compared to or analyzed against S IMMO's peers to derive any actionable benefits. When done correctly, S IMMO's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in S IMMO AG.

S IMMO AG Backtested Returns

S IMMO appears to be very steady, given 3 months investment horizon. S IMMO AG owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.39, which indicates the company had a 0.39% return per unit of volatility over the last 3 months. By examining S IMMO's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please review S IMMO's Risk Adjusted Performance of 0.2264, market risk adjusted performance of (1.26), and Coefficient Of Variation of 251.8 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, S IMMO holds a performance score of 30. The firm has a beta of -0.4, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning S IMMO are expected to decrease at a much lower rate. During the bear market, S IMMO is likely to outperform the market. Please check S IMMO's treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to make a quick decision on whether S IMMO's existing price patterns will revert.

Auto-correlation

    
  0.79  

Good predictability

S IMMO AG has good predictability. Overlapping area represents the amount of predictability between S IMMO time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 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 0.79 indicates that around 79.0% of current S IMMO price fluctuation can be explain by its past prices.
Correlation Coefficient0.79
Spearman Rank Test0.97
Residual Average0.0
Price Variance0.42

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  

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards S IMMO in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, S IMMO's short interest history, or implied volatility extrapolated from S IMMO options trading.

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Check out S IMMO Correlation, S IMMO Volatility and S IMMO Alpha and Beta module to complement your research on S IMMO.
You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.

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S IMMO 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.
A focus of S IMMO technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of S IMMO trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...