Epigenomics Ag Stock Market Value
| EPGNF Stock | USD 0.50 0.00 0.00% |
| Symbol | Epigenomics |
Epigenomics '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 Epigenomics' 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 Epigenomics.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Epigenomics on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Epigenomics AG or generate 0.0% return on investment in Epigenomics over 30 days. Epigenomics is related to or competes with Neuronetics, Intelligent Bio, BiodesixInc, Precipio, ProPhase Labs, BioAffinity Technologies, and RadNet. Epigenomics AG, a molecular diagnostics company, focuses on liquid biopsy for the early detection of cancer More
Epigenomics 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 Epigenomics' 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 Epigenomics AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1357 | |||
| Maximum Drawdown | 480.0 |
Epigenomics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Epigenomics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Epigenomics' standard deviation. In reality, there are many statistical measures that can use Epigenomics historical prices to predict the future Epigenomics' volatility.| Risk Adjusted Performance | 0.0963 | |||
| Jensen Alpha | 11.02 | |||
| Total Risk Alpha | 1.89 | |||
| Treynor Ratio | (0.51) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Epigenomics' 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.
Epigenomics AG Backtested Returns
Epigenomics is out of control given 3 months investment horizon. Epigenomics AG secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the company had a 0.14% return per unit of risk over the last 3 months. We were able to interpolate sixteen different technical indicators, which can help you to evaluate if expected returns of 10.32% are justified by taking the suggested risk. Use Epigenomics Standard Deviation of 70.88, mean deviation of 23.65, and Variance of 5024.52 to evaluate company specific risk that cannot be diversified away. Epigenomics holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -19.16, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Epigenomics are expected to decrease by larger amounts. On the other hand, during market turmoil, Epigenomics is expected to outperform it. Use Epigenomics coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and rate of daily change , to analyze future returns on Epigenomics.
Auto-correlation | 0.00 |
No correlation between past and present
Epigenomics AG has no correlation between past and present. Overlapping area represents the amount of predictability between Epigenomics 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 Epigenomics AG price movement. The serial correlation of 0.0 indicates that just 0.0% of current Epigenomics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Epigenomics AG lagged returns against current returns
Autocorrelation, which is Epigenomics 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 Epigenomics' pink sheet expected returns. We can calculate the autocorrelation of Epigenomics returns to help us make a trade decision. For example, suppose you find that Epigenomics 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 |
Epigenomics 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 Epigenomics pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Epigenomics pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Epigenomics pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Epigenomics Lagged Returns
When evaluating Epigenomics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Epigenomics pink sheet have on its future price. Epigenomics 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, Epigenomics autocorrelation shows the relationship between Epigenomics pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Epigenomics AG.
Regressed Prices |
| Timeline |
Pair Trading with Epigenomics
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Epigenomics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Epigenomics will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Epigenomics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Epigenomics when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Epigenomics - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Epigenomics AG to buy it.
The correlation of Epigenomics is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Epigenomics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Epigenomics AG moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Epigenomics can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Epigenomics Correlation, Epigenomics Volatility and Epigenomics Alpha and Beta module to complement your research on Epigenomics. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Complementary Tools for Epigenomics Pink Sheet analysis
When running Epigenomics' price analysis, check to measure Epigenomics' 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 Epigenomics is operating at the current time. Most of Epigenomics' value examination focuses on studying past and present price action to predict the probability of Epigenomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Epigenomics' price. Additionally, you may evaluate how the addition of Epigenomics to your portfolios can decrease your overall portfolio volatility.
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Epigenomics 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.