Vestas Wind Systems Stock Market Value
| VWSYF Stock | USD 13.97 0.18 1.27% |
| Symbol | Vestas |
Vestas Wind '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 Vestas Wind'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 Vestas Wind.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Vestas Wind on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Vestas Wind Systems or generate 0.0% return on investment in Vestas Wind over 30 days. Vestas Wind is related to or competes with KONE Oyj, Spirax-Sarco Engineering, Atlas Copco, IDEX, Siemens Energy, Nordex SE, and Schneider Electric. Vestas Wind Systems AS designs, manufactures, installs, and services wind turbines worldwide More
Vestas Wind 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 Vestas Wind'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 Vestas Wind Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 17.92 | |||
| Value At Risk | (4.56) | |||
| Potential Upside | 3.04 |
Vestas Wind Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vestas Wind's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vestas Wind's standard deviation. In reality, there are many statistical measures that can use Vestas Wind historical prices to predict the future Vestas Wind's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | 0.5794 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vestas Wind'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.
Vestas Wind Systems Backtested Returns
Vestas Wind Systems owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.24, which indicates the firm had a -0.24% return per unit of risk over the last 3 months. Vestas Wind Systems exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vestas Wind's Coefficient Of Variation of (427.87), risk adjusted performance of (0.17), and Variance of 9.1 to confirm the risk estimate we provide. The entity has a beta of -1.23, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Vestas Wind are expected to decrease by larger amounts. On the other hand, during market turmoil, Vestas Wind is expected to outperform it. At this point, Vestas Wind Systems has a negative expected return of -0.73%. Please make sure to validate Vestas Wind's value at risk, daily balance of power, as well as the relationship between the Daily Balance Of Power and price action indicator , to decide if Vestas Wind Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.43 |
Average predictability
Vestas Wind Systems has average predictability. Overlapping area represents the amount of predictability between Vestas Wind time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 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 Vestas Wind Systems price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Vestas Wind price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Vestas Wind Systems lagged returns against current returns
Autocorrelation, which is Vestas Wind 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 Vestas Wind's pink sheet expected returns. We can calculate the autocorrelation of Vestas Wind returns to help us make a trade decision. For example, suppose you find that Vestas Wind 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 |
Vestas Wind 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 Vestas Wind pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vestas Wind pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vestas Wind pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Vestas Wind Lagged Returns
When evaluating Vestas Wind's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vestas Wind pink sheet have on its future price. Vestas Wind 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, Vestas Wind autocorrelation shows the relationship between Vestas Wind pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Vestas Wind Systems.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Vestas Pink Sheet
Vestas Wind financial ratios help investors to determine whether Vestas Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vestas with respect to the benefits of owning Vestas Wind security.