Mithra Pharmaceuticals (Belgium) Market Value
MITRA Stock | EUR 0.22 0.00 0.00% |
Symbol | Mithra |
Mithra Pharmaceuticals '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 Mithra Pharmaceuticals' 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 Mithra Pharmaceuticals.
04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Mithra Pharmaceuticals on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Mithra Pharmaceuticals SA or generate 0.0% return on investment in Mithra Pharmaceuticals over 30 days. Mithra Pharmaceuticals is related to or competes with Galapagos, and Melexis NV. Mithra Pharmaceuticals S.A. develops, manufactures, and markets complex therapeutics in the areas of contraception, meno... More
Mithra Pharmaceuticals 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 Mithra Pharmaceuticals' 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 Mithra Pharmaceuticals SA upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.27) | |||
Maximum Drawdown | 42.05 | |||
Value At Risk | (20.00) | |||
Potential Upside | 7.69 |
Mithra Pharmaceuticals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mithra Pharmaceuticals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mithra Pharmaceuticals' standard deviation. In reality, there are many statistical measures that can use Mithra Pharmaceuticals historical prices to predict the future Mithra Pharmaceuticals' volatility.Risk Adjusted Performance | (0.15) | |||
Jensen Alpha | (2.03) | |||
Total Risk Alpha | (2.98) | |||
Treynor Ratio | 2.25 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mithra Pharmaceuticals' 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.
Mithra Pharmaceuticals Backtested Returns
Mithra Pharmaceuticals has Sharpe Ratio of -0.22, which conveys that the firm had a -0.22% return per unit of risk over the last 3 months. Mithra Pharmaceuticals exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mithra Pharmaceuticals' Standard Deviation of 8.06, risk adjusted performance of (0.15), and Mean Deviation of 5.24 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.93, which conveys possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Mithra Pharmaceuticals are expected to decrease slowly. On the other hand, during market turmoil, Mithra Pharmaceuticals is expected to outperform it slightly. Mithra Pharmaceuticals has an expected return of -1.6%. Please make sure to verify Mithra Pharmaceuticals SA maximum drawdown and kurtosis , to decide if Mithra Pharmaceuticals performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.51 |
Good reverse predictability
Mithra Pharmaceuticals SA has good reverse predictability. Overlapping area represents the amount of predictability between Mithra Pharmaceuticals time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th 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 Mithra Pharmaceuticals price movement. The serial correlation of -0.51 indicates that about 51.0% of current Mithra Pharmaceuticals price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.51 | |
Spearman Rank Test | -0.04 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Mithra Pharmaceuticals lagged returns against current returns
Autocorrelation, which is Mithra Pharmaceuticals 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 Mithra Pharmaceuticals' stock expected returns. We can calculate the autocorrelation of Mithra Pharmaceuticals returns to help us make a trade decision. For example, suppose you find that Mithra Pharmaceuticals 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 |
Mithra Pharmaceuticals 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 Mithra Pharmaceuticals stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mithra Pharmaceuticals stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mithra Pharmaceuticals stock over time.
Current vs Lagged Prices |
Timeline |
Mithra Pharmaceuticals Lagged Returns
When evaluating Mithra Pharmaceuticals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mithra Pharmaceuticals stock have on its future price. Mithra Pharmaceuticals 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, Mithra Pharmaceuticals autocorrelation shows the relationship between Mithra Pharmaceuticals stock current value and its past values and can show if there is a momentum factor associated with investing in Mithra Pharmaceuticals SA.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Mithra Pharmaceuticals in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Mithra Pharmaceuticals' short interest history, or implied volatility extrapolated from Mithra Pharmaceuticals options trading.
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Complementary Tools for Mithra Stock analysis
When running Mithra Pharmaceuticals' price analysis, check to measure Mithra Pharmaceuticals' 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 Mithra Pharmaceuticals is operating at the current time. Most of Mithra Pharmaceuticals' value examination focuses on studying past and present price action to predict the probability of Mithra Pharmaceuticals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mithra Pharmaceuticals' price. Additionally, you may evaluate how the addition of Mithra Pharmaceuticals to your portfolios can decrease your overall portfolio volatility.
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