Xlife Sciences (Switzerland) Market Value

XLS Stock   27.70  0.50  1.84%   
Xlife Sciences' market value is the price at which a share of Xlife Sciences trades on a public exchange. It measures the collective expectations of Xlife Sciences AG investors about its performance. Xlife Sciences is selling for under 27.70 as of the 2nd of December 2024; that is 1.84 percent increase since the beginning of the trading day. The stock's lowest day price was 27.7.
With this module, you can estimate the performance of a buy and hold strategy of Xlife Sciences AG and determine expected loss or profit from investing in Xlife Sciences over a given investment horizon. Check out Xlife Sciences Correlation, Xlife Sciences Volatility and Xlife Sciences Alpha and Beta module to complement your research on Xlife Sciences.
Symbol

Please note, there is a significant difference between Xlife Sciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Xlife Sciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xlife Sciences' 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.

Xlife Sciences '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 Xlife Sciences' 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 Xlife Sciences.
0.00
12/13/2022
No Change 0.00  0.0 
In 1 year 11 months and 21 days
12/02/2024
0.00
If you would invest  0.00  in Xlife Sciences on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Xlife Sciences AG or generate 0.0% return on investment in Xlife Sciences over 720 days. Xlife Sciences is related to or competes with Mobilezone, Metall Zug, Zurich Insurance, and VP Bank. More

Xlife Sciences 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 Xlife Sciences' 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 Xlife Sciences AG upside and downside potential and time the market with a certain degree of confidence.

Xlife Sciences Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Xlife Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xlife Sciences' standard deviation. In reality, there are many statistical measures that can use Xlife Sciences historical prices to predict the future Xlife Sciences' volatility.
Hype
Prediction
LowEstimatedHigh
23.3527.7032.05
Details
Intrinsic
Valuation
LowRealHigh
19.1923.5427.89
Details
Naive
Forecast
LowNextHigh
23.2427.5931.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.7326.6130.48
Details

Xlife Sciences AG Backtested Returns

At this stage we consider Xlife Stock to be not too volatile. Xlife Sciences AG shows Sharpe Ratio of 0.005, which attests that the company had a 0.005% return per unit of risk over the last 3 months. We have found thirty technical indicators for Xlife Sciences AG, which you can use to evaluate the volatility of the company. Please check out Xlife Sciences' Mean Deviation of 3.22, downside deviation of 4.36, and Market Risk Adjusted Performance of 0.4204 to validate if the risk estimate we provide is consistent with the expected return of 0.0219%. The firm maintains a market beta of 0.0289, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Xlife Sciences' returns are expected to increase less than the market. However, during the bear market, the loss of holding Xlife Sciences is expected to be smaller as well. Xlife Sciences AG right now maintains a risk of 4.35%. Please check out Xlife Sciences AG sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Xlife Sciences AG will be following its historical returns.

Auto-correlation

    
  -0.69  

Very good reverse predictability

Xlife Sciences AG has very good reverse predictability. Overlapping area represents the amount of predictability between Xlife Sciences time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 Xlife Sciences AG price movement. The serial correlation of -0.69 indicates that around 69.0% of current Xlife Sciences price fluctuation can be explain by its past prices.
Correlation Coefficient-0.69
Spearman Rank Test-0.61
Residual Average0.0
Price Variance64.22

Xlife Sciences AG lagged returns against current returns

Autocorrelation, which is Xlife Sciences 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 Xlife Sciences' stock expected returns. We can calculate the autocorrelation of Xlife Sciences returns to help us make a trade decision. For example, suppose you find that Xlife Sciences 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  

Xlife Sciences 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 Xlife Sciences stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xlife Sciences stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xlife Sciences stock over time.
   Current vs Lagged Prices   
       Timeline  

Xlife Sciences Lagged Returns

When evaluating Xlife Sciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xlife Sciences stock have on its future price. Xlife Sciences 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, Xlife Sciences autocorrelation shows the relationship between Xlife Sciences stock current value and its past values and can show if there is a momentum factor associated with investing in Xlife Sciences AG.
   Regressed Prices   
       Timeline  

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Additional Tools for Xlife Stock Analysis

When running Xlife Sciences' price analysis, check to measure Xlife Sciences' 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 Xlife Sciences is operating at the current time. Most of Xlife Sciences' value examination focuses on studying past and present price action to predict the probability of Xlife Sciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xlife Sciences' price. Additionally, you may evaluate how the addition of Xlife Sciences to your portfolios can decrease your overall portfolio volatility.