Legg Mason Low Etf Market Value
| LVHD Etf | USD 41.24 0.08 0.19% |
| Symbol | Legg |
The market value of Legg Mason Low is measured differently than its book value, which is the value of Legg that is recorded on the company's balance sheet. Investors also form their own opinion of Legg Mason's value that differs from its market value or its book value, called intrinsic value, which is Legg Mason's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Legg Mason's market value can be influenced by many factors that don't directly affect Legg Mason's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Legg Mason's value and its price as these two are different measures arrived at by different means. Investors typically determine if Legg Mason is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Legg Mason's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Legg Mason '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 Legg Mason'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 Legg Mason.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Legg Mason on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Legg Mason Low or generate 0.0% return on investment in Legg Mason over 30 days. Legg Mason is related to or competes with IShares Core, IShares Core, IShares Broad, IShares Core, and IShares Core. The index is composed of stocks of U.S. companies across a wide range of market capitalizations, including the largest 3... More
Legg Mason 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 Legg Mason'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 Legg Mason Low upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5669 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 2.15 | |||
| Value At Risk | (0.82) | |||
| Potential Upside | 0.9396 |
Legg Mason Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Legg Mason's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Legg Mason's standard deviation. In reality, there are many statistical measures that can use Legg Mason historical prices to predict the future Legg Mason's volatility.| Risk Adjusted Performance | 0.1083 | |||
| Jensen Alpha | 0.0607 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.10) | |||
| Treynor Ratio | 0.8984 |
Legg Mason Low Backtested Returns
At this point, Legg Mason is very steady. Legg Mason Low has Sharpe Ratio of 0.12, which conveys that the entity had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Legg Mason, which you can use to evaluate the volatility of the etf. Please verify Legg Mason's Risk Adjusted Performance of 0.1083, mean deviation of 0.443, and Downside Deviation of 0.5669 to check out if the risk estimate we provide is consistent with the expected return of 0.0643%. The etf secures a Beta (Market Risk) of 0.0787, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Legg Mason's returns are expected to increase less than the market. However, during the bear market, the loss of holding Legg Mason is expected to be smaller as well.
Auto-correlation | 0.92 |
Excellent predictability
Legg Mason Low has excellent predictability. Overlapping area represents the amount of predictability between Legg Mason time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Legg Mason Low price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Legg Mason price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
Legg Mason Low lagged returns against current returns
Autocorrelation, which is Legg Mason 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 Legg Mason's etf expected returns. We can calculate the autocorrelation of Legg Mason returns to help us make a trade decision. For example, suppose you find that Legg Mason 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 |
Legg Mason 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 Legg Mason etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Legg Mason etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Legg Mason etf over time.
Current vs Lagged Prices |
| Timeline |
Legg Mason Lagged Returns
When evaluating Legg Mason's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Legg Mason etf have on its future price. Legg Mason 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, Legg Mason autocorrelation shows the relationship between Legg Mason etf current value and its past values and can show if there is a momentum factor associated with investing in Legg Mason Low.
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.When determining whether Legg Mason Low is a strong investment it is important to analyze Legg Mason's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Legg Mason's future performance. For an informed investment choice regarding Legg Etf, refer to the following important reports:Check out Legg Mason Correlation, Legg Mason Volatility and Legg Mason Alpha and Beta module to complement your research on Legg Mason. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Legg Mason technical etf 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, etf market cycles, or different charting patterns.