Strats Sm Trust Stock Market Value
| GJO Stock | USD 25.00 0.05 0.20% |
| Symbol | Strats |
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Strats SM. If investors know Strats will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Strats SM listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Strats SM Trust is measured differently than its book value, which is the value of Strats that is recorded on the company's balance sheet. Investors also form their own opinion of Strats SM's value that differs from its market value or its book value, called intrinsic value, which is Strats SM'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 Strats SM's market value can be influenced by many factors that don't directly affect Strats SM'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 Strats SM's value and its price as these two are different measures arrived at by different means. Investors typically determine if Strats SM is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Strats SM'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.
Strats SM '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 Strats SM's stock 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 Strats SM.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in Strats SM on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding Strats SM Trust or generate 0.0% return on investment in Strats SM over 30 days. Strats SM is related to or competes with B Riley, DTE Energy, Morningstar Unconstrained, Thrivent High, Via Renewables, T Rowe, and 70082LAB3. Strats SM is entity of United States. It is traded as Stock on NYSE exchange. More
Strats SM 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 Strats SM's stock 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 Strats SM Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8618 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 2.53 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 0.927 |
Strats SM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strats SM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strats SM's standard deviation. In reality, there are many statistical measures that can use Strats SM historical prices to predict the future Strats SM's volatility.| Risk Adjusted Performance | 0.0011 | |||
| Jensen Alpha | 0.0037 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.0592 |
Strats SM Trust Backtested Returns
As of now, Strats Stock is very steady. Strats SM Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0095, which indicates the firm had a 0.0095% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Strats SM Trust, which you can use to evaluate the volatility of the company. Please validate Strats SM's Semi Deviation of 0.5329, coefficient of variation of 20188.4, and Risk Adjusted Performance of 0.0011 to confirm if the risk estimate we provide is consistent with the expected return of 0.0054%. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Strats SM are expected to decrease at a much lower rate. During the bear market, Strats SM is likely to outperform the market. Strats SM Trust right now has a risk of 0.57%. Please validate Strats SM value at risk, as well as the relationship between the skewness and day median price , to decide if Strats SM will be following its existing price patterns.
Auto-correlation | -0.23 |
Weak reverse predictability
Strats SM Trust has weak reverse predictability. Overlapping area represents the amount of predictability between Strats SM time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th of December 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 Strats SM Trust price movement. The serial correlation of -0.23 indicates that over 23.0% of current Strats SM price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Strats SM Trust lagged returns against current returns
Autocorrelation, which is Strats SM stock'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 Strats SM's stock expected returns. We can calculate the autocorrelation of Strats SM returns to help us make a trade decision. For example, suppose you find that Strats SM has exhibited high autocorrelation historically, and you observe that the stock 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 |
Strats SM 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 Strats SM stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strats SM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Strats SM stock over time.
Current vs Lagged Prices |
| Timeline |
Strats SM Lagged Returns
When evaluating Strats SM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strats SM stock have on its future price. Strats SM 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, Strats SM autocorrelation shows the relationship between Strats SM stock current value and its past values and can show if there is a momentum factor associated with investing in Strats SM Trust.
Regressed Prices |
| Timeline |
Pair Trading with Strats SM
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 Strats SM 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 Strats SM will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Strats SM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Strats SM 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 Strats SM - 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 Strats SM Trust to buy it.
The correlation of Strats SM 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 Strats SM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Strats SM Trust 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 Strats SM 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 Strats SM Correlation, Strats SM Volatility and Strats SM Alpha and Beta module to complement your research on Strats SM. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Strats SM technical stock 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, stock market cycles, or different charting patterns.