Ypsomed Holding (Switzerland) Market Value
YPSN Stock | CHF 387.00 4.50 1.18% |
Symbol | Ypsomed |
Ypsomed Holding '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 Ypsomed Holding'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 Ypsomed Holding.
02/27/2024 |
| 05/27/2024 |
If you would invest 0.00 in Ypsomed Holding on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Ypsomed Holding AG or generate 0.0% return on investment in Ypsomed Holding over 90 days. Ypsomed Holding is related to or competes with Siegfried Holding, VAT Group, Lonza Group, Straumann Holding, and Tecan Group. Ypsomed Holding AG, together with its subsidiaries, develops, manufactures, and sells injection and infusion systems for... More
Ypsomed Holding 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 Ypsomed Holding'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 Ypsomed Holding AG upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.75 | |||
Information Ratio | 0.0645 | |||
Maximum Drawdown | 16.21 | |||
Value At Risk | (2.50) | |||
Potential Upside | 3.14 |
Ypsomed Holding Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ypsomed Holding's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ypsomed Holding's standard deviation. In reality, there are many statistical measures that can use Ypsomed Holding historical prices to predict the future Ypsomed Holding's volatility.Risk Adjusted Performance | 0.0565 | |||
Jensen Alpha | 0.1873 | |||
Total Risk Alpha | 0.0361 | |||
Sortino Ratio | 0.0908 | |||
Treynor Ratio | 0.7503 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ypsomed Holding'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.
Ypsomed Holding AG Backtested Returns
We consider Ypsomed Holding very steady. Ypsomed Holding AG shows Sharpe Ratio of 0.0507, which attests that the company had a 0.0507% return per unit of risk over the last 3 months. We have found thirty technical indicators for Ypsomed Holding AG, which you can use to evaluate the volatility of the company. Please check out Ypsomed Holding's Mean Deviation of 1.47, market risk adjusted performance of 0.7603, and Downside Deviation of 1.75 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. Ypsomed Holding has a performance score of 3 on a scale of 0 to 100. The firm maintains a market beta of 0.26, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Ypsomed Holding's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ypsomed Holding is expected to be smaller as well. Ypsomed Holding AG right now maintains a risk of 2.5%. Please check out Ypsomed Holding AG value at risk, downside variance, and the relationship between the maximum drawdown and potential upside , to decide if Ypsomed Holding AG will be following its historical returns.
Auto-correlation | 0.70 |
Good predictability
Ypsomed Holding AG has good predictability. Overlapping area represents the amount of predictability between Ypsomed Holding time series from 27th of February 2024 to 12th of April 2024 and 12th of April 2024 to 27th of May 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 Ypsomed Holding AG price movement. The serial correlation of 0.7 indicates that around 70.0% of current Ypsomed Holding price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.7 | |
Spearman Rank Test | 0.42 | |
Residual Average | 0.0 | |
Price Variance | 555.52 |
Ypsomed Holding AG lagged returns against current returns
Autocorrelation, which is Ypsomed Holding 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 Ypsomed Holding's stock expected returns. We can calculate the autocorrelation of Ypsomed Holding returns to help us make a trade decision. For example, suppose you find that Ypsomed Holding 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 |
Ypsomed Holding 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 Ypsomed Holding stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ypsomed Holding stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ypsomed Holding stock over time.
Current vs Lagged Prices |
Timeline |
Ypsomed Holding Lagged Returns
When evaluating Ypsomed Holding's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ypsomed Holding stock have on its future price. Ypsomed Holding 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, Ypsomed Holding autocorrelation shows the relationship between Ypsomed Holding stock current value and its past values and can show if there is a momentum factor associated with investing in Ypsomed Holding AG.
Regressed Prices |
Timeline |
Also Currently Popular
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.Check out Ypsomed Holding Correlation, Ypsomed Holding Volatility and Ypsomed Holding Alpha and Beta module to complement your research on Ypsomed Holding. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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When running Ypsomed Holding's price analysis, check to measure Ypsomed Holding's 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 Ypsomed Holding is operating at the current time. Most of Ypsomed Holding's value examination focuses on studying past and present price action to predict the probability of Ypsomed Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ypsomed Holding's price. Additionally, you may evaluate how the addition of Ypsomed Holding to your portfolios can decrease your overall portfolio volatility.
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Ypsomed Holding 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.