Mkam Etf Market Value
| MKAM Etf | 31.03 0.04 0.13% |
| Symbol | MKAM |
The market value of MKAM ETF is measured differently than its book value, which is the value of MKAM that is recorded on the company's balance sheet. Investors also form their own opinion of MKAM ETF's value that differs from its market value or its book value, called intrinsic value, which is MKAM ETF's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because MKAM ETF's market value can be influenced by many factors that don't directly affect MKAM ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that MKAM ETF's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether MKAM ETF represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, MKAM ETF's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
MKAM ETF '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 MKAM ETF'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 MKAM ETF.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in MKAM ETF on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding MKAM ETF or generate 0.0% return on investment in MKAM ETF over 90 days. MKAM ETF is related to or competes with ETF Series, IQ Large, Tidal ETF, Harbor ETF, Amplify ETF, Goldman Sachs, and AIM ETF. More
MKAM ETF 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 MKAM ETF'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 MKAM ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6162 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 2.21 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.6207 |
MKAM ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MKAM ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MKAM ETF's standard deviation. In reality, there are many statistical measures that can use MKAM ETF historical prices to predict the future MKAM ETF's volatility.| Risk Adjusted Performance | 0.0319 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0323 |
MKAM ETF January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0319 | |||
| Market Risk Adjusted Performance | 0.0423 | |||
| Mean Deviation | 0.3133 | |||
| Semi Deviation | 0.4991 | |||
| Downside Deviation | 0.6162 | |||
| Coefficient Of Variation | 1894.56 | |||
| Standard Deviation | 0.4416 | |||
| Variance | 0.195 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0323 | |||
| Maximum Drawdown | 2.21 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.6207 | |||
| Downside Variance | 0.3797 | |||
| Semi Variance | 0.2491 | |||
| Expected Short fall | (0.30) | |||
| Skewness | (0.88) | |||
| Kurtosis | 1.52 |
MKAM ETF Backtested Returns
As of now, MKAM Etf is very steady. MKAM ETF retains Efficiency (Sharpe Ratio) of 0.0528, which conveys that the entity had a 0.0528 % return per unit of return volatility over the last 3 months. We have found thirty technical indicators for MKAM ETF, which you can use to evaluate the volatility of the etf. Please verify MKAM ETF's Market Risk Adjusted Performance of 0.0423, downside deviation of 0.6162, and Mean Deviation of 0.3133 to check out if the risk estimate we provide is consistent with the expected return of 0.0233%. The etf owns a Beta (Systematic Risk) of 0.41, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, MKAM ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding MKAM ETF is expected to be smaller as well.
Auto-correlation | 0.10 |
Insignificant predictability
MKAM ETF has insignificant predictability. Overlapping area represents the amount of predictability between MKAM ETF time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of MKAM ETF price movement. The serial correlation of 0.1 indicates that less than 10.0% of current MKAM ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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Try AI Portfolio ProphetCheck out MKAM ETF Correlation, MKAM ETF Volatility and MKAM ETF Performance module to complement your research on MKAM ETF. To learn how to invest in MKAM Etf, please use our How to Invest in MKAM ETF guide.You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
MKAM ETF 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.