Smartetfs Smart Transportation Etf Market Value
| MOTO Etf | USD 42.63 0.27 0.63% |
| Symbol | SmartETFs |
The market value of SmartETFs Smart Tran 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 Smart's value that differs from its market value or its book value, called intrinsic value, which is SmartETFs Smart'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 Smart's market value can be influenced by many factors that don't directly affect SmartETFs Smart'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 Smart's value and its price as these two are different measures arrived at by different means. Investors typically determine if SmartETFs Smart is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SmartETFs Smart'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 Smart '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 Smart'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 Smart.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in SmartETFs Smart on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SmartETFs Smart Transportation or generate 0.0% return on investment in SmartETFs Smart over 30 days. SmartETFs Smart is related to or competes with SPDR SP, KraneShares Electric, IShares Self, SPDR SP, and Amplify Lithium. The fund invests in publicly-traded equity securities of domestic or foreign companies that are involved in the developm... More
SmartETFs Smart 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 Smart'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 Smart Transportation upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 5.83 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 2.08 |
SmartETFs Smart Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SmartETFs Smart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SmartETFs Smart's standard deviation. In reality, there are many statistical measures that can use SmartETFs Smart historical prices to predict the future SmartETFs Smart's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SmartETFs Smart'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 Smart Tran Backtested Returns
SmartETFs Smart Tran owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0206, which indicates the etf had a -0.0206% return per unit of risk over the last 3 months. SmartETFs Smart Transportation exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SmartETFs Smart's Coefficient Of Variation of (10,619), insignificant risk adjusted performance, and Variance of 1.59 to confirm the risk estimate we provide. The entity has a beta of 0.96, which indicates possible diversification benefits within a given portfolio. SmartETFs Smart returns are very sensitive to returns on the market. As the market goes up or down, SmartETFs Smart is expected to follow.
Auto-correlation | 0.84 |
Very good predictability
SmartETFs Smart Transportation has very good predictability. Overlapping area represents the amount of predictability between SmartETFs Smart time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Smart Tran price movement. The serial correlation of 0.84 indicates that around 84.0% of current SmartETFs Smart price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
SmartETFs Smart Tran lagged returns against current returns
Autocorrelation, which is SmartETFs Smart 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 Smart's etf expected returns. We can calculate the autocorrelation of SmartETFs Smart returns to help us make a trade decision. For example, suppose you find that SmartETFs Smart 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 Smart 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 Smart etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SmartETFs Smart etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SmartETFs Smart etf over time.
Current vs Lagged Prices |
| Timeline |
SmartETFs Smart Lagged Returns
When evaluating SmartETFs Smart's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SmartETFs Smart etf have on its future price. SmartETFs Smart 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 Smart autocorrelation shows the relationship between SmartETFs Smart etf current value and its past values and can show if there is a momentum factor associated with investing in SmartETFs Smart Transportation.
Regressed Prices |
| Timeline |
Pair Trading with SmartETFs Smart
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SmartETFs Smart position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SmartETFs Smart will appreciate offsetting losses from the drop in the long position's value.Moving together with SmartETFs Etf
| 0.83 | VT | Vanguard Total World Sell-off Trend | PairCorr |
| 0.83 | ACWI | iShares MSCI ACWI Sell-off Trend | PairCorr |
| 0.86 | IOO | iShares Global 100 | PairCorr |
| 0.77 | URTH | iShares MSCI World | PairCorr |
Moving against SmartETFs Etf
The ability to find closely correlated positions to SmartETFs Smart could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SmartETFs Smart when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SmartETFs Smart - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SmartETFs Smart Transportation to buy it.
The correlation of SmartETFs Smart is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SmartETFs Smart moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SmartETFs Smart Tran moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SmartETFs Smart can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out SmartETFs Smart Correlation, SmartETFs Smart Volatility and SmartETFs Smart Alpha and Beta module to complement your research on SmartETFs Smart. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
SmartETFs Smart 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.