Wienerberger Ag Stock Market Value
WBRBF Stock | USD 35.45 1.12 3.06% |
Symbol | Wienerberger |
Wienerberger '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 Wienerberger's 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 Wienerberger.
04/26/2023 |
| 04/20/2024 |
If you would invest 0.00 in Wienerberger on April 26, 2023 and sell it all today you would earn a total of 0.00 from holding Wienerberger AG or generate 0.0% return on investment in Wienerberger over 360 days. Wienerberger is related to or competes with CRH PLC, Martin Marietta, Vulcan Materials, and James Hardie. Wienerberger AG produces and sells bricks, roof tiles, concrete pavers, and pipe systems in Europe More
Wienerberger 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 Wienerberger's 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 Wienerberger AG upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0755 | |||
Maximum Drawdown | 25.95 |
Wienerberger Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wienerberger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wienerberger's standard deviation. In reality, there are many statistical measures that can use Wienerberger historical prices to predict the future Wienerberger's volatility.Risk Adjusted Performance | 0.0724 | |||
Jensen Alpha | 0.3812 | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wienerberger'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.
Wienerberger AG Backtested Returns
Wienerberger appears to be not too volatile, given 3 months investment horizon. Wienerberger AG shows Sharpe Ratio of 0.11, which attests that the company had a 0.11% return per unit of risk over the last 3 months. We have found nineteen technical indicators for Wienerberger AG, which you can use to evaluate the volatility of the company. Please utilize Wienerberger's Standard Deviation of 2.85, market risk adjusted performance of (0.23), and Mean Deviation of 0.6843 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Wienerberger holds a performance score of 8. The firm maintains a market beta of -1.21, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Wienerberger are expected to decrease by larger amounts. On the other hand, during market turmoil, Wienerberger is expected to outperform it. Please check Wienerberger's kurtosis, and the relationship between the jensen alpha and day median price , to make a quick decision on whether Wienerberger's historical returns will revert.
Auto-correlation | 0.08 |
Virtually no predictability
Wienerberger AG has virtually no predictability. Overlapping area represents the amount of predictability between Wienerberger time series from 26th of April 2023 to 23rd of October 2023 and 23rd of October 2023 to 20th 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 Wienerberger AG price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Wienerberger price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.08 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 2.28 |
Wienerberger AG lagged returns against current returns
Autocorrelation, which is Wienerberger 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 Wienerberger's pink sheet expected returns. We can calculate the autocorrelation of Wienerberger returns to help us make a trade decision. For example, suppose you find that Wienerberger 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 |
Wienerberger 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 Wienerberger pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wienerberger pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wienerberger pink sheet over time.
Current vs Lagged Prices |
Timeline |
Wienerberger Lagged Returns
When evaluating Wienerberger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wienerberger pink sheet have on its future price. Wienerberger 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, Wienerberger autocorrelation shows the relationship between Wienerberger pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Wienerberger AG.
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 Wienerberger Correlation, Wienerberger Volatility and Wienerberger Alpha and Beta module to complement your research on Wienerberger. Note that the Wienerberger AG information on this page should be used as a complementary analysis to other Wienerberger'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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for Wienerberger Pink Sheet analysis
When running Wienerberger's price analysis, check to measure Wienerberger'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 Wienerberger is operating at the current time. Most of Wienerberger's value examination focuses on studying past and present price action to predict the probability of Wienerberger's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wienerberger's price. Additionally, you may evaluate how the addition of Wienerberger to your portfolios can decrease your overall portfolio volatility.
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Wienerberger 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.