Vidrala SA (Spain) Market Value
| VID Stock | EUR 100.60 2.10 2.13% |
| Symbol | Vidrala |
Vidrala SA '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 Vidrala SA'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 Vidrala SA.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Vidrala SA on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Vidrala SA or generate 0.0% return on investment in Vidrala SA over 30 days. Vidrala SA is related to or competes with Grupo Catalana, Construcciones, and Faes Farma. Vidrala, S.A. manufactures and sells glass containers for food and beverage products in Spain, the United Kingdom, Irela... More
Vidrala SA 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 Vidrala SA'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 Vidrala SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.13 | |||
| Information Ratio | 0.048 | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 2.89 |
Vidrala SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vidrala SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vidrala SA's standard deviation. In reality, there are many statistical measures that can use Vidrala SA historical prices to predict the future Vidrala SA's volatility.| Risk Adjusted Performance | 0.0667 | |||
| Jensen Alpha | 0.1976 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0374 | |||
| Treynor Ratio | (0.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vidrala SA'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.
Vidrala SA Backtested Returns
We consider Vidrala SA very steady. Vidrala SA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0733, which indicates the firm had a 0.0733% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Vidrala SA, which you can use to evaluate the volatility of the company. Please validate Vidrala SA's Coefficient Of Variation of 1044.14, semi deviation of 1.83, and Risk Adjusted Performance of 0.0667 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. Vidrala SA has a performance score of 5 on a scale of 0 to 100. The entity has a beta of -0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Vidrala SA are expected to decrease at a much lower rate. During the bear market, Vidrala SA is likely to outperform the market. Vidrala SA right now has a risk of 1.69%. Please validate Vidrala SA coefficient of variation, sortino ratio, potential upside, as well as the relationship between the jensen alpha and maximum drawdown , to decide if Vidrala SA will be following its existing price patterns.
Auto-correlation | 0.76 |
Good predictability
Vidrala SA has good predictability. Overlapping area represents the amount of predictability between Vidrala SA 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 Vidrala SA price movement. The serial correlation of 0.76 indicates that around 76.0% of current Vidrala SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 3.3 |
Vidrala SA lagged returns against current returns
Autocorrelation, which is Vidrala SA 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 Vidrala SA's stock expected returns. We can calculate the autocorrelation of Vidrala SA returns to help us make a trade decision. For example, suppose you find that Vidrala SA 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 |
Vidrala SA 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 Vidrala SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vidrala SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vidrala SA stock over time.
Current vs Lagged Prices |
| Timeline |
Vidrala SA Lagged Returns
When evaluating Vidrala SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vidrala SA stock have on its future price. Vidrala SA 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, Vidrala SA autocorrelation shows the relationship between Vidrala SA stock current value and its past values and can show if there is a momentum factor associated with investing in Vidrala SA.
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 Vidrala SA Correlation, Vidrala SA Volatility and Vidrala SA Alpha and Beta module to complement your research on Vidrala SA. Note that the Vidrala SA information on this page should be used as a complementary analysis to other Vidrala SA'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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Vidrala Stock analysis
When running Vidrala SA's price analysis, check to measure Vidrala SA'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 Vidrala SA is operating at the current time. Most of Vidrala SA's value examination focuses on studying past and present price action to predict the probability of Vidrala SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vidrala SA's price. Additionally, you may evaluate how the addition of Vidrala SA to your portfolios can decrease your overall portfolio volatility.
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Vidrala SA 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.