DBV Technologies (France) Market Value
| DBV Stock | EUR 1.20 0.02 1.64% |
| Symbol | DBV |
DBV Technologies '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 DBV Technologies' 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 DBV Technologies.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in DBV Technologies on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding DBV Technologies SA or generate 0.0% return on investment in DBV Technologies over 30 days. DBV Technologies is related to or competes with Genfit, Innate Pharma, Cellectis, and Nanobiotix. DBV Technologies S.A., a clinical-stage biopharmaceutical company, engages in the research and development of epicutaneo... More
DBV Technologies 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 DBV Technologies' 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 DBV Technologies SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 21.67 | |||
| Value At Risk | (3.76) | |||
| Potential Upside | 4.2 |
DBV Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DBV Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DBV Technologies' standard deviation. In reality, there are many statistical measures that can use DBV Technologies historical prices to predict the future DBV Technologies' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.48) | |||
| Total Risk Alpha | (0.89) | |||
| Treynor Ratio | 0.4233 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DBV Technologies' 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.
DBV Technologies Backtested Returns
DBV Technologies secures Sharpe Ratio (or Efficiency) of -0.17, which denotes the company had a -0.17% return per unit of volatility over the last 3 months. DBV Technologies SA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DBV Technologies' Standard Deviation of 2.93, market risk adjusted performance of 0.4333, and Mean Deviation of 1.88 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -1.34, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning DBV Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, DBV Technologies is expected to outperform it. DBV Technologies has an expected return of -0.51%. Please make sure to confirm DBV Technologies day typical price, period momentum indicator, as well as the relationship between the daily balance of power and skewness , to decide if DBV Technologies performance from the past will be repeated in the future.
Auto-correlation | -0.13 |
Insignificant reverse predictability
DBV Technologies SA has insignificant reverse predictability. Overlapping area represents the amount of predictability between DBV Technologies time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th 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 DBV Technologies price movement. The serial correlation of -0.13 indicates that less than 13.0% of current DBV Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DBV Technologies lagged returns against current returns
Autocorrelation, which is DBV Technologies 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 DBV Technologies' stock expected returns. We can calculate the autocorrelation of DBV Technologies returns to help us make a trade decision. For example, suppose you find that DBV Technologies 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 |
DBV Technologies 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 DBV Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DBV Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DBV Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
DBV Technologies Lagged Returns
When evaluating DBV Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DBV Technologies stock have on its future price. DBV Technologies 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, DBV Technologies autocorrelation shows the relationship between DBV Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in DBV Technologies SA.
Regressed Prices |
| Timeline |
Pair Trading with DBV Technologies
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 DBV Technologies 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 DBV Technologies will appreciate offsetting losses from the drop in the long position's value.Moving against DBV Stock
| 0.86 | GNE | General Electric | PairCorr |
| 0.79 | CS | AXA SA | PairCorr |
| 0.78 | RNO | Renault SA | PairCorr |
| 0.7 | BNP | BNP Paribas SA | PairCorr |
| 0.67 | GLE | Societe Generale | PairCorr |
The ability to find closely correlated positions to DBV Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DBV Technologies 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 DBV Technologies - 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 DBV Technologies SA to buy it.
The correlation of DBV Technologies 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 DBV Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DBV Technologies 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 DBV Technologies 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 DBV Technologies Correlation, DBV Technologies Volatility and DBV Technologies Alpha and Beta module to complement your research on DBV Technologies. For information on how to trade DBV Stock refer to our How to Trade DBV Stock guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for DBV Stock analysis
When running DBV Technologies' price analysis, check to measure DBV Technologies' 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 DBV Technologies is operating at the current time. Most of DBV Technologies' value examination focuses on studying past and present price action to predict the probability of DBV Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DBV Technologies' price. Additionally, you may evaluate how the addition of DBV Technologies to your portfolios can decrease your overall portfolio volatility.
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DBV Technologies 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.