Wirtek AS (Denmark) Market Value
| WIRTEK Stock | DKK 10.50 0.30 2.94% |
| Symbol | Wirtek |
Wirtek AS '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 Wirtek AS'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 Wirtek AS.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Wirtek AS on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Wirtek AS or generate 0.0% return on investment in Wirtek AS over 30 days. Wirtek AS is related to or competes with ChemoMetec, Ambu AS, Genmab AS, Zealand Pharma, and Netcompany Group. Wirtek AS, an IT outsourcing company, provides software solutions and electronic equipment products in Denmark More
Wirtek AS 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 Wirtek AS'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 Wirtek AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.47 | |||
| Information Ratio | 0.0321 | |||
| Maximum Drawdown | 15.51 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 4.72 |
Wirtek AS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wirtek AS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wirtek AS's standard deviation. In reality, there are many statistical measures that can use Wirtek AS historical prices to predict the future Wirtek AS's volatility.| Risk Adjusted Performance | 0.0482 | |||
| Jensen Alpha | 0.1565 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0343 | |||
| Treynor Ratio | 1.71 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wirtek AS'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.
Wirtek AS Backtested Returns
We consider Wirtek AS somewhat reliable. Wirtek AS shows Sharpe Ratio of 0.0633, which attests that the company had a 0.0633% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Wirtek AS, which you can use to evaluate the volatility of the company. Please check out Wirtek AS's Market Risk Adjusted Performance of 1.72, mean deviation of 1.77, and Downside Deviation of 2.47 to validate if the risk estimate we provide is consistent with the expected return of 0.17%. Wirtek AS has a performance score of 4 on a scale of 0 to 100. The firm maintains a market beta of 0.0959, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Wirtek AS's returns are expected to increase less than the market. However, during the bear market, the loss of holding Wirtek AS is expected to be smaller as well. Wirtek AS right now maintains a risk of 2.64%. Please check out Wirtek AS downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to decide if Wirtek AS will be following its historical returns.
Auto-correlation | -0.38 |
Poor reverse predictability
Wirtek AS has poor reverse predictability. Overlapping area represents the amount of predictability between Wirtek AS time series from 25th of March 2024 to 9th of April 2024 and 9th of April 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 Wirtek AS price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Wirtek AS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Wirtek AS lagged returns against current returns
Autocorrelation, which is Wirtek AS 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 Wirtek AS's stock expected returns. We can calculate the autocorrelation of Wirtek AS returns to help us make a trade decision. For example, suppose you find that Wirtek AS 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 |
Wirtek AS 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 Wirtek AS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wirtek AS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wirtek AS stock over time.
Current vs Lagged Prices |
| Timeline |
Wirtek AS Lagged Returns
When evaluating Wirtek AS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wirtek AS stock have on its future price. Wirtek AS 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, Wirtek AS autocorrelation shows the relationship between Wirtek AS stock current value and its past values and can show if there is a momentum factor associated with investing in Wirtek AS.
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 Wirtek AS Correlation, Wirtek AS Volatility and Wirtek AS Alpha and Beta module to complement your research on Wirtek AS. Note that the Wirtek AS information on this page should be used as a complementary analysis to other Wirtek AS'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 CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Wirtek Stock analysis
When running Wirtek AS's price analysis, check to measure Wirtek AS'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 Wirtek AS is operating at the current time. Most of Wirtek AS's value examination focuses on studying past and present price action to predict the probability of Wirtek AS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wirtek AS's price. Additionally, you may evaluate how the addition of Wirtek AS to your portfolios can decrease your overall portfolio volatility.
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Wirtek AS 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.