Zealand Pharma (Denmark) Market Value
| ZEAL Stock | DKK 611.00 29.50 5.07% |
| Symbol | Zealand |
Zealand Pharma '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 Zealand Pharma'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 Zealand Pharma.
| 07/04/2022 |
| 04/24/2024 |
If you would invest 0.00 in Zealand Pharma on July 4, 2022 and sell it all today you would earn a total of 0.00 from holding Zealand Pharma AS or generate 0.0% return on investment in Zealand Pharma over 660 days. Zealand Pharma is related to or competes with Ambu AS, DSV Panalpina, Bavarian Nordic, GN Store, and FLSmidth. Zealand Pharma AS, a biotechnology company, engages in the discovery, design, and development of peptide-based medicines... More
Zealand Pharma 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 Zealand Pharma'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 Zealand Pharma AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.5 | |||
| Information Ratio | 0.095 | |||
| Maximum Drawdown | 42.53 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 5.07 |
Zealand Pharma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zealand Pharma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zealand Pharma's standard deviation. In reality, there are many statistical measures that can use Zealand Pharma historical prices to predict the future Zealand Pharma's volatility.| Risk Adjusted Performance | 0.0795 | |||
| Jensen Alpha | 0.5406 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.1972 | |||
| Treynor Ratio | 1.33 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zealand Pharma'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.
Zealand Pharma AS Backtested Returns
Zealand Pharma appears to be very steady, given 3 months investment horizon. Zealand Pharma AS shows Sharpe Ratio of 0.1, which attests that the company had a 0.1% return per unit of risk over the last 3 months. By examining Zealand Pharma's technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please utilize Zealand Pharma's Market Risk Adjusted Performance of 1.34, mean deviation of 2.76, and Downside Deviation of 2.5 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Zealand Pharma holds a performance score of 8. The firm maintains a market beta of 0.43, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Zealand Pharma's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zealand Pharma is expected to be smaller as well. Please check Zealand Pharma's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Zealand Pharma's historical returns will revert.
Auto-correlation | 0.75 |
Good predictability
Zealand Pharma AS has good predictability. Overlapping area represents the amount of predictability between Zealand Pharma time series from 4th of July 2022 to 30th of May 2023 and 30th of May 2023 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 Zealand Pharma AS price movement. The serial correlation of 0.75 indicates that around 75.0% of current Zealand Pharma price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 21.6 K |
Zealand Pharma AS lagged returns against current returns
Autocorrelation, which is Zealand Pharma 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 Zealand Pharma's stock expected returns. We can calculate the autocorrelation of Zealand Pharma returns to help us make a trade decision. For example, suppose you find that Zealand Pharma 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 |
Zealand Pharma 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 Zealand Pharma stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Zealand Pharma stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Zealand Pharma stock over time.
Current vs Lagged Prices |
| Timeline |
Zealand Pharma Lagged Returns
When evaluating Zealand Pharma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Zealand Pharma stock have on its future price. Zealand Pharma 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, Zealand Pharma autocorrelation shows the relationship between Zealand Pharma stock current value and its past values and can show if there is a momentum factor associated with investing in Zealand Pharma 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 Zealand Pharma Correlation, Zealand Pharma Volatility and Zealand Pharma Alpha and Beta module to complement your research on Zealand Pharma. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for Zealand Stock analysis
When running Zealand Pharma's price analysis, check to measure Zealand Pharma'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 Zealand Pharma is operating at the current time. Most of Zealand Pharma's value examination focuses on studying past and present price action to predict the probability of Zealand Pharma's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zealand Pharma's price. Additionally, you may evaluate how the addition of Zealand Pharma to your portfolios can decrease your overall portfolio volatility.
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Zealand Pharma 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.