Schweiter Technologies (Switzerland) Market Value
| SWTQ Stock | CHF 402.00 1.50 0.37% |
| Symbol | Schweiter |
Schweiter Technologies '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 Schweiter Technologies' 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 Schweiter Technologies.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in Schweiter Technologies on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Schweiter Technologies AG or generate 0.0% return on investment in Schweiter Technologies over 30 days. Schweiter Technologies is related to or competes with Inficon Holding, Bucher Industries, Sulzer AG, Interroll Holding, and EMS CHEMIE. Schweiter Technologies AG engages in the development, production, and distribution of composite panels and core material... More
Schweiter Technologies 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 Schweiter Technologies' 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 Schweiter Technologies AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.68 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 14.5 | |||
| Value At Risk | (2.55) | |||
| Potential Upside | 3.49 |
Schweiter Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schweiter Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schweiter Technologies' standard deviation. In reality, there are many statistical measures that can use Schweiter Technologies historical prices to predict the future Schweiter Technologies' volatility.| Risk Adjusted Performance | 0.0307 | |||
| Jensen Alpha | 0.042 | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.2579 |
Schweiter Technologies Backtested Returns
At this stage we consider Schweiter Stock to be very steady. Schweiter Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0337, which indicates the firm had a 0.0337% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schweiter Technologies AG, which you can use to evaluate the volatility of the company. Please validate Schweiter Technologies' Risk Adjusted Performance of 0.0307, semi deviation of 1.61, and Coefficient Of Variation of 3037.97 to confirm if the risk estimate we provide is consistent with the expected return of 0.0761%. Schweiter Technologies has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.25, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schweiter Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Schweiter Technologies is expected to be smaller as well. Schweiter Technologies right now has a risk of 2.26%. Please validate Schweiter Technologies jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if Schweiter Technologies will be following its existing price patterns.
Auto-correlation | 0.19 |
Very weak predictability
Schweiter Technologies AG has very weak predictability. Overlapping area represents the amount of predictability between Schweiter Technologies time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th 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 Schweiter Technologies price movement. The serial correlation of 0.19 indicates that over 19.0% of current Schweiter Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 14.37 |
Schweiter Technologies lagged returns against current returns
Autocorrelation, which is Schweiter Technologies 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 Schweiter Technologies' stock expected returns. We can calculate the autocorrelation of Schweiter Technologies returns to help us make a trade decision. For example, suppose you find that Schweiter Technologies 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 |
Schweiter Technologies 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 Schweiter Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schweiter Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schweiter Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Schweiter Technologies Lagged Returns
When evaluating Schweiter Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schweiter Technologies stock have on its future price. Schweiter Technologies 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, Schweiter Technologies autocorrelation shows the relationship between Schweiter Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Schweiter Technologies AG.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Schweiter Stock Analysis
When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' 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 Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.