Smart Earnings Growth Etf Market Value
| SGRT Etf | 25.79 0.07 0.27% |
| Symbol | SMART |
The market value of SMART Earnings Growth is measured differently than its book value, which is the value of SMART that is recorded on the company's balance sheet. Investors also form their own opinion of SMART Earnings' value that differs from its market value or its book value, called intrinsic value, which is SMART Earnings' 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 SMART Earnings' market value can be influenced by many factors that don't directly affect SMART Earnings' 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 SMART Earnings' value and its price as these two are different measures arrived at by different means. Investors typically determine if SMART Earnings is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SMART Earnings' 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.
SMART Earnings '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 SMART Earnings' 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 SMART Earnings.
| 10/25/2025 |
| 12/24/2025 |
If you would invest 0.00 in SMART Earnings on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding SMART Earnings Growth or generate 0.0% return on investment in SMART Earnings over 60 days. SMART Earnings is related to or competes with Wasatch International, Consumer Goods, Sp Midcap, Energy Services, Grayscale Funds, and Transportation Fund. SMART Earnings is entity of United States More
SMART Earnings 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 SMART Earnings' 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 SMART Earnings Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.03 | |||
| Information Ratio | 0.0541 | |||
| Maximum Drawdown | 11.45 | |||
| Value At Risk | (4.85) | |||
| Potential Upside | 3.32 |
SMART Earnings Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMART Earnings' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMART Earnings' standard deviation. In reality, there are many statistical measures that can use SMART Earnings historical prices to predict the future SMART Earnings' volatility.| Risk Adjusted Performance | 0.0658 | |||
| Jensen Alpha | 0.078 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0408 | |||
| Treynor Ratio | 0.1016 |
SMART Earnings Growth Backtested Returns
SMART Earnings appears to be very steady, given 3 months investment horizon. SMART Earnings Growth retains Efficiency (Sharpe Ratio) of 0.0903, which indicates the etf had a 0.0903 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for SMART Earnings, which you can use to evaluate the volatility of the etf. Please review SMART Earnings' risk adjusted performance of 0.0658, and Downside Deviation of 3.03 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 1.79, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SMART Earnings will likely underperform.
Auto-correlation | -0.38 |
Poor reverse predictability
SMART Earnings Growth has poor reverse predictability. Overlapping area represents the amount of predictability between SMART Earnings time series from 25th of October 2025 to 24th of November 2025 and 24th of November 2025 to 24th of December 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 SMART Earnings Growth price movement. The serial correlation of -0.38 indicates that just about 38.0% of current SMART Earnings price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
SMART Earnings Growth lagged returns against current returns
Autocorrelation, which is SMART Earnings 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 SMART Earnings' etf expected returns. We can calculate the autocorrelation of SMART Earnings returns to help us make a trade decision. For example, suppose you find that SMART Earnings 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 |
SMART Earnings 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 SMART Earnings etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMART Earnings etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMART Earnings etf over time.
Current vs Lagged Prices |
| Timeline |
SMART Earnings Lagged Returns
When evaluating SMART Earnings' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMART Earnings etf have on its future price. SMART Earnings 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, SMART Earnings autocorrelation shows the relationship between SMART Earnings etf current value and its past values and can show if there is a momentum factor associated with investing in SMART Earnings Growth.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out SMART Earnings Correlation, SMART Earnings Volatility and SMART Earnings Alpha and Beta module to complement your research on SMART Earnings. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
SMART Earnings 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.