Maybank Emerging Etf Market Value
| MEM Etf | USD 29.27 0.16 0.55% |
| Symbol | MAYBANK |
The market value of MAYBANK EMERGING ETF is measured differently than its book value, which is the value of MAYBANK that is recorded on the company's balance sheet. Investors also form their own opinion of MAYBANK EMERGING's value that differs from its market value or its book value, called intrinsic value, which is MAYBANK EMERGING'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 MAYBANK EMERGING's market value can be influenced by many factors that don't directly affect MAYBANK EMERGING'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 MAYBANK EMERGING's value and its price as these two are different measures arrived at by different means. Investors typically determine if MAYBANK EMERGING is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MAYBANK EMERGING'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.
MAYBANK EMERGING '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 MAYBANK EMERGING'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 MAYBANK EMERGING.
| 01/01/2025 |
| 01/31/2025 |
If you would invest 0.00 in MAYBANK EMERGING on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding MAYBANK EMERGING ETF or generate 0.0% return on investment in MAYBANK EMERGING over 30 days. MAYBANK EMERGING is related to or competes with RENN Fund, Sunlands Technology, and Cohen Steers. Under normal circumstances, the fund seeks to achieve its investment objective by investing at least 80 percent of its n... More
MAYBANK EMERGING 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 MAYBANK EMERGING'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 MAYBANK EMERGING ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 4.79 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 1.53 |
MAYBANK EMERGING Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MAYBANK EMERGING's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MAYBANK EMERGING's standard deviation. In reality, there are many statistical measures that can use MAYBANK EMERGING historical prices to predict the future MAYBANK EMERGING's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.71) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MAYBANK EMERGING'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.
MAYBANK EMERGING ETF Backtested Returns
MAYBANK EMERGING ETF has Sharpe Ratio of -0.0572, which conveys that the etf had a -0.0572 % return per unit of standard deviation over the last 3 months. MAYBANK EMERGING exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MAYBANK EMERGING's standard deviation of 0.9451, and Mean Deviation of 0.7075 to check out the risk estimate we provide. The entity secures a Beta (Market Risk) of 0.11, which conveys not very significant fluctuations relative to the market. As returns on the market increase, MAYBANK EMERGING's returns are expected to increase less than the market. However, during the bear market, the loss of holding MAYBANK EMERGING is expected to be smaller as well.
Auto-correlation | -0.07 |
Very weak reverse predictability
MAYBANK EMERGING ETF has very weak reverse predictability. Overlapping area represents the amount of predictability between MAYBANK EMERGING time series from 1st of January 2025 to 16th of January 2025 and 16th of January 2025 to 31st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of MAYBANK EMERGING ETF price movement. The serial correlation of -0.07 indicates that barely 7.0% of current MAYBANK EMERGING price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
MAYBANK EMERGING ETF lagged returns against current returns
Autocorrelation, which is MAYBANK EMERGING 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 MAYBANK EMERGING's etf expected returns. We can calculate the autocorrelation of MAYBANK EMERGING returns to help us make a trade decision. For example, suppose you find that MAYBANK EMERGING 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 |
MAYBANK EMERGING 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 MAYBANK EMERGING etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MAYBANK EMERGING etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MAYBANK EMERGING etf over time.
Current vs Lagged Prices |
| Timeline |
MAYBANK EMERGING Lagged Returns
When evaluating MAYBANK EMERGING's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MAYBANK EMERGING etf have on its future price. MAYBANK EMERGING 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, MAYBANK EMERGING autocorrelation shows the relationship between MAYBANK EMERGING etf current value and its past values and can show if there is a momentum factor associated with investing in MAYBANK EMERGING ETF.
Regressed Prices |
| Timeline |
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MAYBANK EMERGING 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.