Legal General (Netherlands) Market Value
ROBO Etf | EUR 22.31 0.24 1.09% |
Symbol | Legal |
Legal General '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 Legal General's etf 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 Legal General.
10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Legal General on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Legal General UCITS or generate 0.0% return on investment in Legal General over 30 days. Legal General is related to or competes with Legal General, LG Russell, VanEck Multi, IShares III, IShares Core, and IShares France. LG Robotics is traded on Amsterdam Stock Exchange in Netherlands. More
Legal General 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 Legal General's etf 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 Legal General UCITS upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.02 | |||
Information Ratio | 0.0296 | |||
Maximum Drawdown | 5.01 | |||
Value At Risk | (1.78) | |||
Potential Upside | 2.1 |
Legal General Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Legal General's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Legal General's standard deviation. In reality, there are many statistical measures that can use Legal General historical prices to predict the future Legal General's volatility.Risk Adjusted Performance | 0.116 | |||
Jensen Alpha | 0.0343 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | 0.0323 | |||
Treynor Ratio | 0.1555 |
Legal General UCITS Backtested Returns
Currently, Legal General UCITS is very steady. Legal General UCITS has Sharpe Ratio of 0.16, which conveys that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Legal General, which you can use to evaluate the volatility of the etf. Please verify Legal General's Mean Deviation of 0.8619, downside deviation of 1.02, and Risk Adjusted Performance of 0.116 to check out if the risk estimate we provide is consistent with the expected return of 0.18%. The etf secures a Beta (Market Risk) of 0.99, which conveys possible diversification benefits within a given portfolio. Legal General returns are very sensitive to returns on the market. As the market goes up or down, Legal General is expected to follow.
Auto-correlation | 0.64 |
Good predictability
Legal General UCITS has good predictability. Overlapping area represents the amount of predictability between Legal General time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Legal General UCITS price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Legal General price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.64 | |
Spearman Rank Test | 0.55 | |
Residual Average | 0.0 | |
Price Variance | 0.13 |
Legal General UCITS lagged returns against current returns
Autocorrelation, which is Legal General etf'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 Legal General's etf expected returns. We can calculate the autocorrelation of Legal General returns to help us make a trade decision. For example, suppose you find that Legal General has exhibited high autocorrelation historically, and you observe that the etf 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 |
Legal General 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 Legal General etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Legal General etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Legal General etf over time.
Current vs Lagged Prices |
Timeline |
Legal General Lagged Returns
When evaluating Legal General's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Legal General etf have on its future price. Legal General 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, Legal General autocorrelation shows the relationship between Legal General etf current value and its past values and can show if there is a momentum factor associated with investing in Legal General UCITS.
Regressed Prices |
Timeline |
Thematic Opportunities
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Other Information on Investing in Legal Etf
Legal General financial ratios help investors to determine whether Legal Etf 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 Legal with respect to the benefits of owning Legal General security.