Vaneck Low Carbon Etf Market Value
| SMOG Etf | USD 141.14 0.15 0.11% |
| Symbol | VanEck |
Investors evaluate VanEck Low Carbon using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating VanEck Low's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause VanEck Low's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between VanEck Low's value and its price as these two are different measures arrived at by different means. Investors typically determine if VanEck Low is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, VanEck Low's market price signifies the transaction level at which participants voluntarily complete trades.
VanEck Low '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 VanEck Low'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 VanEck Low.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in VanEck Low on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding VanEck Low Carbon or generate 0.0% return on investment in VanEck Low over 90 days. VanEck Low is related to or competes with KraneShares California, Cabana Target, Inspire Global, AB High, First Trust, First Trust, and Innovator ETFs. The fund normally invests at least 80 percent of its total assets in stocks of low carbon energy companies More
VanEck Low 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 VanEck Low'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 VanEck Low Carbon upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.2 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.54 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.75 |
VanEck Low Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VanEck Low's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VanEck Low's standard deviation. In reality, there are many statistical measures that can use VanEck Low historical prices to predict the future VanEck Low's volatility.| Risk Adjusted Performance | 0.0464 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0567 |
VanEck Low February 17, 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 | 0.0464 | |||
| Market Risk Adjusted Performance | 0.0667 | |||
| Mean Deviation | 0.9216 | |||
| Semi Deviation | 1.15 | |||
| Downside Deviation | 1.2 | |||
| Coefficient Of Variation | 1855.06 | |||
| Standard Deviation | 1.14 | |||
| Variance | 1.3 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0567 | |||
| Maximum Drawdown | 4.54 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.75 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 1.33 | |||
| Expected Short fall | (0.93) | |||
| Skewness | (0.30) | |||
| Kurtosis | (0.06) |
VanEck Low Carbon Backtested Returns
At this point, VanEck Low is very steady. VanEck Low Carbon owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the etf had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for VanEck Low Carbon, which you can use to evaluate the volatility of the etf. Please validate VanEck Low's Risk Adjusted Performance of 0.0464, coefficient of variation of 1855.06, and Semi Deviation of 1.15 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The entity has a beta of 0.91, which indicates possible diversification benefits within a given portfolio. VanEck Low returns are very sensitive to returns on the market. As the market goes up or down, VanEck Low is expected to follow.
Auto-correlation | 0.63 |
Good predictability
VanEck Low Carbon has good predictability. Overlapping area represents the amount of predictability between VanEck Low time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th of February 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 VanEck Low Carbon price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current VanEck Low price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 12.37 |
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Check out VanEck Low Correlation, VanEck Low Volatility and VanEck Low Performance module to complement your research on VanEck Low. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
VanEck Low 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.