Smartetfs Dividend Builder Etf Market Value
| DIVS Etf | USD 29.55 0.05 0.17% |
| Symbol | SmartETFs |
The market value of SmartETFs Dividend is measured differently than its book value, which is the value of SmartETFs that is recorded on the company's balance sheet. Investors also form their own opinion of SmartETFs Dividend's value that differs from its market value or its book value, called intrinsic value, which is SmartETFs Dividend'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 SmartETFs Dividend's market value can be influenced by many factors that don't directly affect SmartETFs Dividend'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 SmartETFs Dividend's value and its price as these two are different measures arrived at by different means. Investors typically determine if SmartETFs Dividend is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SmartETFs Dividend'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.
SmartETFs Dividend '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 SmartETFs Dividend'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 SmartETFs Dividend.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in SmartETFs Dividend on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding SmartETFs Dividend Builder or generate 0.0% return on investment in SmartETFs Dividend over 30 days. SmartETFs Dividend is related to or competes with IShares MSCI, BMO Long, IShares MSCI, Vanguard Total, and IShares Core. The fund will invest at least 80 percent of its net assets in publicly-traded equity securities in dividend-paying compa... More
SmartETFs Dividend 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 SmartETFs Dividend'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 SmartETFs Dividend Builder upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6163 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 2.41 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 1.0 |
SmartETFs Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SmartETFs Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SmartETFs Dividend's standard deviation. In reality, there are many statistical measures that can use SmartETFs Dividend historical prices to predict the future SmartETFs Dividend's volatility.| Risk Adjusted Performance | 0.0092 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SmartETFs Dividend'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.
SmartETFs Dividend Backtested Returns
Currently, SmartETFs Dividend Builder is very steady. SmartETFs Dividend owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.019, which indicates the etf had a 0.019% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for SmartETFs Dividend Builder, which you can use to evaluate the volatility of the etf. Please validate SmartETFs Dividend's Semi Deviation of 0.5783, risk adjusted performance of 0.0092, and Coefficient Of Variation of 6226.53 to confirm if the risk estimate we provide is consistent with the expected return of 0.0113%. The entity has a beta of 0.52, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SmartETFs Dividend's returns are expected to increase less than the market. However, during the bear market, the loss of holding SmartETFs Dividend is expected to be smaller as well.
Auto-correlation | 0.55 |
Modest predictability
SmartETFs Dividend Builder has modest predictability. Overlapping area represents the amount of predictability between SmartETFs Dividend time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 SmartETFs Dividend price movement. The serial correlation of 0.55 indicates that about 55.0% of current SmartETFs Dividend price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | -0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
SmartETFs Dividend lagged returns against current returns
Autocorrelation, which is SmartETFs Dividend 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 SmartETFs Dividend's etf expected returns. We can calculate the autocorrelation of SmartETFs Dividend returns to help us make a trade decision. For example, suppose you find that SmartETFs Dividend 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 |
SmartETFs Dividend 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 SmartETFs Dividend etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SmartETFs Dividend etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SmartETFs Dividend etf over time.
Current vs Lagged Prices |
| Timeline |
SmartETFs Dividend Lagged Returns
When evaluating SmartETFs Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SmartETFs Dividend etf have on its future price. SmartETFs Dividend 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, SmartETFs Dividend autocorrelation shows the relationship between SmartETFs Dividend etf current value and its past values and can show if there is a momentum factor associated with investing in SmartETFs Dividend Builder.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out SmartETFs Dividend Correlation, SmartETFs Dividend Volatility and SmartETFs Dividend Alpha and Beta module to complement your research on SmartETFs Dividend. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
SmartETFs Dividend 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.