LEGRAND S A Market Value
524671AA2 | 101.79 0.99 0.98% |
Symbol | LEGRAND |
LEGRAND '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 LEGRAND's bond 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 LEGRAND.
09/02/2024 |
| 12/01/2024 |
If you would invest 0.00 in LEGRAND on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding LEGRAND S A or generate 0.0% return on investment in LEGRAND over 90 days. LEGRAND is related to or competes with 00108WAF7, 90331HPL1, Bank of America, GE Aerospace, Dupont De, International Business, and McDonalds. More
LEGRAND 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 LEGRAND's bond 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 LEGRAND S A upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.13 | |||
Information Ratio | (0.10) | |||
Maximum Drawdown | 12.51 | |||
Value At Risk | (0.41) | |||
Potential Upside | 0.3367 |
LEGRAND Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LEGRAND's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LEGRAND's standard deviation. In reality, there are many statistical measures that can use LEGRAND historical prices to predict the future LEGRAND's volatility.Risk Adjusted Performance | 0.01 | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.20) | |||
Sortino Ratio | (0.11) | |||
Treynor Ratio | 0.0029 |
LEGRAND S A Backtested Returns
At this point, LEGRAND is very steady. LEGRAND S A has Sharpe Ratio of 0.0792, which conveys that the entity had a 0.0792% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for LEGRAND, which you can use to evaluate the volatility of the bond. Please verify LEGRAND's risk adjusted performance of 0.01, and Mean Deviation of 0.3907 to check out if the risk estimate we provide is consistent with the expected return of 0.016%. The bond secures a Beta (Market Risk) of 0.0164, which conveys not very significant fluctuations relative to the market. As returns on the market increase, LEGRAND's returns are expected to increase less than the market. However, during the bear market, the loss of holding LEGRAND is expected to be smaller as well.
Auto-correlation | -0.18 |
Insignificant reverse predictability
LEGRAND S A has insignificant reverse predictability. Overlapping area represents the amount of predictability between LEGRAND time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st of December 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 LEGRAND S A price movement. The serial correlation of -0.18 indicates that over 18.0% of current LEGRAND price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.18 | |
Spearman Rank Test | -0.01 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
LEGRAND S A lagged returns against current returns
Autocorrelation, which is LEGRAND bond'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 LEGRAND's bond expected returns. We can calculate the autocorrelation of LEGRAND returns to help us make a trade decision. For example, suppose you find that LEGRAND has exhibited high autocorrelation historically, and you observe that the bond 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 |
LEGRAND 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 LEGRAND bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LEGRAND bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LEGRAND bond over time.
Current vs Lagged Prices |
Timeline |
LEGRAND Lagged Returns
When evaluating LEGRAND's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LEGRAND bond have on its future price. LEGRAND 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, LEGRAND autocorrelation shows the relationship between LEGRAND bond current value and its past values and can show if there is a momentum factor associated with investing in LEGRAND S A.
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.Other Information on Investing in LEGRAND Bond
LEGRAND financial ratios help investors to determine whether LEGRAND Bond 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 LEGRAND with respect to the benefits of owning LEGRAND security.