SYSTEMAIR's market value is the price at which a share of SYSTEMAIR trades on a public exchange. It measures the collective expectations of SYSTEMAIR AB investors about its performance. SYSTEMAIR is trading at 8.54 as of the 28th of July 2025. This is a 0.7 percent decrease since the beginning of the trading day. The stock's lowest day price was 8.54. With this module, you can estimate the performance of a buy and hold strategy of SYSTEMAIR AB and determine expected loss or profit from investing in SYSTEMAIR over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Symbol
SYSTEMAIR
SYSTEMAIR '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 SYSTEMAIR'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 SYSTEMAIR.
0.00
04/29/2025
No Change 0.00
0.0
In 3 months and 1 day
07/28/2025
0.00
If you would invest 0.00 in SYSTEMAIR on April 29, 2025 and sell it all today you would earn a total of 0.00 from holding SYSTEMAIR AB or generate 0.0% return on investment in SYSTEMAIR over 90 days.
SYSTEMAIR 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 SYSTEMAIR'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 SYSTEMAIR AB upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for SYSTEMAIR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SYSTEMAIR's standard deviation. In reality, there are many statistical measures that can use SYSTEMAIR historical prices to predict the future SYSTEMAIR's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SYSTEMAIR. Your research has to be compared to or analyzed against SYSTEMAIR's peers to derive any actionable benefits. When done correctly, SYSTEMAIR'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 SYSTEMAIR AB.
SYSTEMAIR AB Backtested Returns
SYSTEMAIR appears to be not too volatile, given 3 months investment horizon. SYSTEMAIR AB owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for SYSTEMAIR AB, which you can use to evaluate the volatility of the company. Please review SYSTEMAIR's coefficient of variation of 599.17, and Risk Adjusted Performance of 0.1355 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SYSTEMAIR holds a performance score of 11. The entity has a beta of 0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SYSTEMAIR's returns are expected to increase less than the market. However, during the bear market, the loss of holding SYSTEMAIR is expected to be smaller as well. Please check SYSTEMAIR's information ratio, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether SYSTEMAIR's existing price patterns will revert.
Auto-correlation
0.16
Very weak predictability
SYSTEMAIR AB has very weak predictability. Overlapping area represents the amount of predictability between SYSTEMAIR time series from 29th of April 2025 to 13th of June 2025 and 13th of June 2025 to 28th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SYSTEMAIR AB price movement. The serial correlation of 0.16 indicates that over 16.0% of current SYSTEMAIR price fluctuation can be explain by its past prices.
Correlation Coefficient
0.16
Spearman Rank Test
0.12
Residual Average
0.0
Price Variance
0.1
SYSTEMAIR AB lagged returns against current returns
Autocorrelation, which is SYSTEMAIR 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 SYSTEMAIR's stock expected returns. We can calculate the autocorrelation of SYSTEMAIR returns to help us make a trade decision. For example, suppose you find that SYSTEMAIR 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
SYSTEMAIR 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 SYSTEMAIR stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SYSTEMAIR stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SYSTEMAIR stock over time.
Current vs Lagged Prices
Timeline
SYSTEMAIR Lagged Returns
When evaluating SYSTEMAIR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SYSTEMAIR stock have on its future price. SYSTEMAIR 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, SYSTEMAIR autocorrelation shows the relationship between SYSTEMAIR stock current value and its past values and can show if there is a momentum factor associated with investing in SYSTEMAIR AB.