DNA Biomed (Israel) Market Value
| DNA Stock | ILS 85.90 1.50 1.72% |
| Symbol | DNA |
DNA Biomed '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 DNA Biomed'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 DNA Biomed.
| 03/29/2024 |
| 04/28/2024 |
If you would invest 0.00 in DNA Biomed on March 29, 2024 and sell it all today you would earn a total of 0.00 from holding DNA Biomed Solns or generate 0.0% return on investment in DNA Biomed over 30 days. DNA Biomed is related to or competes with C Mer, Ralco Agencies, and Brimag L. D.N.A Biomedical Solutions Ltd. develops and commercializes laser spectrometry-based trace detection systems in Israel More
DNA Biomed 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 DNA Biomed'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 DNA Biomed Solns upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.98 | |||
| Information Ratio | 0.1132 | |||
| Maximum Drawdown | 28.65 | |||
| Value At Risk | (4.25) | |||
| Potential Upside | 7.47 |
DNA Biomed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DNA Biomed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DNA Biomed's standard deviation. In reality, there are many statistical measures that can use DNA Biomed historical prices to predict the future DNA Biomed's volatility.| Risk Adjusted Performance | 0.092 | |||
| Jensen Alpha | 0.5419 | |||
| Total Risk Alpha | 0.0196 | |||
| Sortino Ratio | 0.1647 | |||
| Treynor Ratio | 1.58 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DNA Biomed'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.
DNA Biomed Solns Backtested Returns
DNA Biomed appears to be very steady, given 3 months investment horizon. DNA Biomed Solns retains Efficiency (Sharpe Ratio) of 0.12, which denotes the company had a 0.12% return per unit of risk over the last 3 months. By reviewing DNA Biomed's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please utilize DNA Biomed's Market Risk Adjusted Performance of 1.59, coefficient of variation of 747.59, and Downside Deviation of 2.98 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, DNA Biomed holds a performance score of 9. The firm owns a Beta (Systematic Risk) of 0.36, which means possible diversification benefits within a given portfolio. As returns on the market increase, DNA Biomed's returns are expected to increase less than the market. However, during the bear market, the loss of holding DNA Biomed is expected to be smaller as well. Please check DNA Biomed's sortino ratio, semi variance, and the relationship between the standard deviation and value at risk , to make a quick decision on whether DNA Biomed's current price history will revert.
Auto-correlation | 0.32 |
Below average predictability
DNA Biomed Solns has below average predictability. Overlapping area represents the amount of predictability between DNA Biomed time series from 29th of March 2024 to 13th of April 2024 and 13th of April 2024 to 28th 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 DNA Biomed Solns price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current DNA Biomed price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 32.79 |
DNA Biomed Solns lagged returns against current returns
Autocorrelation, which is DNA Biomed 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 DNA Biomed's stock expected returns. We can calculate the autocorrelation of DNA Biomed returns to help us make a trade decision. For example, suppose you find that DNA Biomed 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 |
DNA Biomed 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 DNA Biomed stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DNA Biomed stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DNA Biomed stock over time.
Current vs Lagged Prices |
| Timeline |
DNA Biomed Lagged Returns
When evaluating DNA Biomed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DNA Biomed stock have on its future price. DNA Biomed 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, DNA Biomed autocorrelation shows the relationship between DNA Biomed stock current value and its past values and can show if there is a momentum factor associated with investing in DNA Biomed Solns.
Regressed Prices |
| Timeline |
Pair Trading with DNA Biomed
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 DNA Biomed 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 DNA Biomed will appreciate offsetting losses from the drop in the long position's value.Moving against DNA Stock
| 0.82 | LPSN | LivePerson | PairCorr |
| 0.57 | ORA | Ormat Technologies | PairCorr |
The ability to find closely correlated positions to DNA Biomed could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DNA Biomed 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 DNA Biomed - 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 DNA Biomed Solns to buy it.
The correlation of DNA Biomed 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 DNA Biomed moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DNA Biomed Solns 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 DNA Biomed 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 DNA Biomed Correlation, DNA Biomed Volatility and DNA Biomed Alpha and Beta module to complement your research on DNA Biomed. Note that the DNA Biomed Solns information on this page should be used as a complementary analysis to other DNA Biomed'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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Complementary Tools for DNA Stock analysis
When running DNA Biomed's price analysis, check to measure DNA Biomed'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 DNA Biomed is operating at the current time. Most of DNA Biomed's value examination focuses on studying past and present price action to predict the probability of DNA Biomed's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DNA Biomed's price. Additionally, you may evaluate how the addition of DNA Biomed to your portfolios can decrease your overall portfolio volatility.
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DNA Biomed 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.