Return Stacked Stocks Etf Market Value
| RSST Etf | 24.17 0.14 0.58% |
| Symbol | Return |
The market value of Return Stacked Stocks is measured differently than its book value, which is the value of Return that is recorded on the company's balance sheet. Investors also form their own opinion of Return Stacked's value that differs from its market value or its book value, called intrinsic value, which is Return Stacked'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 Return Stacked's market value can be influenced by many factors that don't directly affect Return Stacked'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 Return Stacked's value and its price as these two are different measures arrived at by different means. Investors typically determine if Return Stacked is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Return Stacked'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.
Return Stacked '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 Return Stacked'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 Return Stacked.
| 08/25/2024 |
| 09/24/2024 |
If you would invest 0.00 in Return Stacked on August 25, 2024 and sell it all today you would earn a total of 0.00 from holding Return Stacked Stocks or generate 0.0% return on investment in Return Stacked over 30 days. Return Stacked is related to or competes with Blackrock Muniholdings, MFS Investment, Eaton Vance, Invesco High, Nuveen California, RiverNorth Managed, and Blackrock Muniholdings. Return Stacked is entity of United States More
Return Stacked 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 Return Stacked'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 Return Stacked Stocks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.26 | |||
| Value At Risk | (3.60) | |||
| Potential Upside | 2.38 |
Return Stacked Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Return Stacked's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Return Stacked's standard deviation. In reality, there are many statistical measures that can use Return Stacked historical prices to predict the future Return Stacked's volatility.| Risk Adjusted Performance | (0.0006) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (7.46) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Return Stacked'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.
Return Stacked Stocks Backtested Returns
Return Stacked Stocks maintains Sharpe Ratio (i.e., Efficiency) of -0.0071, which implies the entity had a -0.0071% return per unit of risk over the last 3 months. Return Stacked Stocks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Return Stacked's Risk Adjusted Performance of (0.0006), variance of 2.92, and Coefficient Of Variation of (13,795) to confirm the risk estimate we provide. The etf holds a Beta of 0.003, which implies not very significant fluctuations relative to the market. As returns on the market increase, Return Stacked's returns are expected to increase less than the market. However, during the bear market, the loss of holding Return Stacked is expected to be smaller as well.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Return Stacked Stocks has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Return Stacked time series from 25th of August 2024 to 9th of September 2024 and 9th of September 2024 to 24th of September 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 Return Stacked Stocks price movement. The serial correlation of -0.77 indicates that around 77.0% of current Return Stacked price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Return Stacked Stocks lagged returns against current returns
Autocorrelation, which is Return Stacked 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 Return Stacked's etf expected returns. We can calculate the autocorrelation of Return Stacked returns to help us make a trade decision. For example, suppose you find that Return Stacked 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 |
Return Stacked 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 Return Stacked etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Return Stacked etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Return Stacked etf over time.
Current vs Lagged Prices |
| Timeline |
Return Stacked Lagged Returns
When evaluating Return Stacked's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Return Stacked etf have on its future price. Return Stacked 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, Return Stacked autocorrelation shows the relationship between Return Stacked etf current value and its past values and can show if there is a momentum factor associated with investing in Return Stacked Stocks.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Information and Resources on Investing in Return Etf
When determining whether Return Stacked Stocks is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Return Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Return Stacked Stocks Etf. Highlighted below are key reports to facilitate an investment decision about Return Stacked Stocks Etf:Check out Return Stacked Correlation, Return Stacked Volatility and Return Stacked Alpha and Beta module to complement your research on Return Stacked. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Return Stacked 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.