Martin Currie Sustainable Etf Market Value
MCSE Etf | USD 13.60 0.10 0.74% |
Symbol | Martin |
The market value of Martin Currie Sustainable is measured differently than its book value, which is the value of Martin that is recorded on the company's balance sheet. Investors also form their own opinion of Martin Currie's value that differs from its market value or its book value, called intrinsic value, which is Martin Currie'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 Martin Currie's market value can be influenced by many factors that don't directly affect Martin Currie'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 Martin Currie's value and its price as these two are different measures arrived at by different means. Investors typically determine if Martin Currie is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Martin Currie'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.
Martin Currie '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 Martin Currie'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 Martin Currie.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Martin Currie on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Martin Currie Sustainable or generate 0.0% return on investment in Martin Currie over 30 days. Martin Currie is related to or competes with BrandywineGLOBAL, First Trust, Invesco NASDAQ, Burney Factor, and VanEck Green. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity and equity-related secu... More
Martin Currie 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 Martin Currie'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 Martin Currie Sustainable upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.25) | |||
Maximum Drawdown | 6.65 | |||
Value At Risk | (2.08) | |||
Potential Upside | 1.44 |
Martin Currie Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Martin Currie's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Martin Currie's standard deviation. In reality, there are many statistical measures that can use Martin Currie historical prices to predict the future Martin Currie's volatility.Risk Adjusted Performance | (0.1) | |||
Jensen Alpha | (0.25) | |||
Total Risk Alpha | (0.37) | |||
Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Martin Currie'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.
Martin Currie Sustainable Backtested Returns
Martin Currie Sustainable 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. Martin Currie exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Martin Currie's Standard Deviation of 1.21, risk adjusted performance of (0.1), and Mean Deviation of 0.8847 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.65, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Martin Currie's returns are expected to increase less than the market. However, during the bear market, the loss of holding Martin Currie is expected to be smaller as well.
Auto-correlation | -0.81 |
Excellent reverse predictability
Martin Currie Sustainable has excellent reverse predictability. Overlapping area represents the amount of predictability between Martin Currie time series from 1st of November 2024 to 16th of November 2024 and 16th of November 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 Martin Currie Sustainable price movement. The serial correlation of -0.81 indicates that around 81.0% of current Martin Currie price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.81 | |
Spearman Rank Test | -0.54 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Martin Currie Sustainable lagged returns against current returns
Autocorrelation, which is Martin Currie 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 Martin Currie's etf expected returns. We can calculate the autocorrelation of Martin Currie returns to help us make a trade decision. For example, suppose you find that Martin Currie 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 |
Martin Currie 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 Martin Currie etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Martin Currie etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Martin Currie etf over time.
Current vs Lagged Prices |
Timeline |
Martin Currie Lagged Returns
When evaluating Martin Currie's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Martin Currie etf have on its future price. Martin Currie 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, Martin Currie autocorrelation shows the relationship between Martin Currie etf current value and its past values and can show if there is a momentum factor associated with investing in Martin Currie Sustainable.
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 Martin Currie Sustainable is a strong investment it is important to analyze Martin Currie'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 Martin Currie's future performance. For an informed investment choice regarding Martin Etf, refer to the following important reports:Check out Martin Currie Correlation, Martin Currie Volatility and Martin Currie Alpha and Beta module to complement your research on Martin Currie. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Martin Currie 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.