Wirecard Ag Stock Market Value
| WRCDF Stock | USD 0.01 0.00 0.00% |
| Symbol | Wirecard |
Wirecard '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 Wirecard's pink sheet 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 Wirecard.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Wirecard on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Wirecard AG or generate 0.0% return on investment in Wirecard over 90 days. Wirecard is related to or competes with Salesforce, S A P, Intuit, ServiceNow, Uber Technologies, Shopify, and Cadence Design. Wirecard AG, a technology company, provides outsourcing and white label solutions for electronic payments worldwide More
Wirecard 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 Wirecard's pink sheet 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 Wirecard AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.2159 | |||
| Maximum Drawdown | 9999.0 | |||
| Potential Upside | 200.0 |
Wirecard Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wirecard's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wirecard's standard deviation. In reality, there are many statistical measures that can use Wirecard historical prices to predict the future Wirecard's volatility.| Risk Adjusted Performance | 0.1429 | |||
| Jensen Alpha | 492.94 | |||
| Total Risk Alpha | 181.27 | |||
| Treynor Ratio | (0.80) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wirecard'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.
Wirecard AG Backtested Returns
Wirecard is out of control given 3 months investment horizon. Wirecard AG shows Sharpe Ratio of 0.21, which attests that the company had a 0.21% return per unit of risk over the last 3 months. We were able to break down seventeen different technical indicators, which can help you to evaluate if expected returns of 47.08% are justified by taking the suggested risk. Use Wirecard AG Market Risk Adjusted Performance of (0.79), mean deviation of 859.2, and Standard Deviation of 2078.48 to evaluate company specific risk that cannot be diversified away. Wirecard holds a performance score of 16 on a scale of zero to a hundred. The firm maintains a market beta of -557.54, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Wirecard are expected to decrease by larger amounts. On the other hand, during market turmoil, Wirecard is expected to outperform it. Use Wirecard AG standard deviation and the relationship between the jensen alpha and day median price , to analyze future returns on Wirecard AG.
Auto-correlation | 0.23 |
Weak predictability
Wirecard AG has weak predictability. Overlapping area represents the amount of predictability between Wirecard time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 to 24th of April 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 Wirecard AG price movement. The serial correlation of 0.23 indicates that over 23.0% of current Wirecard price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Wirecard AG lagged returns against current returns
Autocorrelation, which is Wirecard pink sheet'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 Wirecard's pink sheet expected returns. We can calculate the autocorrelation of Wirecard returns to help us make a trade decision. For example, suppose you find that Wirecard has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Wirecard 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 Wirecard pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wirecard pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wirecard pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Wirecard Lagged Returns
When evaluating Wirecard's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wirecard pink sheet have on its future price. Wirecard 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, Wirecard autocorrelation shows the relationship between Wirecard pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Wirecard 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 Wirecard Correlation, Wirecard Volatility and Wirecard Alpha and Beta module to complement your research on Wirecard. Note that the Wirecard AG information on this page should be used as a complementary analysis to other Wirecard's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Wirecard Pink Sheet analysis
When running Wirecard's price analysis, check to measure Wirecard'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 Wirecard is operating at the current time. Most of Wirecard's value examination focuses on studying past and present price action to predict the probability of Wirecard's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wirecard's price. Additionally, you may evaluate how the addition of Wirecard to your portfolios can decrease your overall portfolio volatility.
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Wirecard technical pink sheet 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, pink sheet market cycles, or different charting patterns.