Vicore Pharma (Sweden) Market Value
| VICO Stock | SEK 17.30 0.62 3.72% |
| Symbol | Vicore |
Vicore 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 Vicore 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 Vicore Pharma.
| 03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Vicore Pharma on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Vicore Pharma Holding or generate 0.0% return on investment in Vicore Pharma over 30 days. Vicore Pharma is related to or competes with Calliditas Therapeutics, Oncopeptides, and Alligator Bioscience. Vicore Pharma Holding AB , through its subsidiaries, operates as a biotech company More
Vicore 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 Vicore 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 Vicore Pharma Holding upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.17 | |||
| Information Ratio | 0.0997 | |||
| Maximum Drawdown | 21.48 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 6.95 |
Vicore Pharma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vicore Pharma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vicore Pharma's standard deviation. In reality, there are many statistical measures that can use Vicore Pharma historical prices to predict the future Vicore Pharma's volatility.| Risk Adjusted Performance | 0.0856 | |||
| Jensen Alpha | 0.4301 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.1702 | |||
| Treynor Ratio | 1.91 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vicore 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.
Vicore Pharma Holding Backtested Returns
Vicore Pharma appears to be not too volatile, given 3 months investment horizon. Vicore Pharma Holding owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. By inspecting Vicore Pharma's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please review Vicore Pharma's Semi Deviation of 1.89, coefficient of variation of 807.74, and Risk Adjusted Performance of 0.0856 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Vicore Pharma holds a performance score of 10. The entity has a beta of 0.24, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vicore Pharma's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vicore Pharma is expected to be smaller as well. Please check Vicore 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 Vicore Pharma's existing price patterns will revert.
Auto-correlation | 0.07 |
Virtually no predictability
Vicore Pharma Holding has virtually no predictability. Overlapping area represents the amount of predictability between Vicore Pharma time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th 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 Vicore Pharma Holding price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Vicore Pharma price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Vicore Pharma Holding lagged returns against current returns
Autocorrelation, which is Vicore 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 Vicore Pharma's stock expected returns. We can calculate the autocorrelation of Vicore Pharma returns to help us make a trade decision. For example, suppose you find that Vicore 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 |
Vicore 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 Vicore Pharma stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vicore Pharma stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vicore Pharma stock over time.
Current vs Lagged Prices |
| Timeline |
Vicore Pharma Lagged Returns
When evaluating Vicore Pharma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vicore Pharma stock have on its future price. Vicore 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, Vicore Pharma autocorrelation shows the relationship between Vicore Pharma stock current value and its past values and can show if there is a momentum factor associated with investing in Vicore Pharma Holding.
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 Vicore Pharma Correlation, Vicore Pharma Volatility and Vicore Pharma Alpha and Beta module to complement your research on Vicore Pharma. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for Vicore Stock analysis
When running Vicore Pharma's price analysis, check to measure Vicore 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 Vicore Pharma is operating at the current time. Most of Vicore Pharma's value examination focuses on studying past and present price action to predict the probability of Vicore 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 Vicore Pharma's price. Additionally, you may evaluate how the addition of Vicore Pharma to your portfolios can decrease your overall portfolio volatility.
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Vicore 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.