Return Stacked Bonds Etf Market Value
| RSBY Etf | 18.75 0.05 0.27% |
| Symbol | Return |
The market value of Return Stacked Bonds 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.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Return Stacked on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Return Stacked Bonds or generate 0.0% return on investment in Return Stacked over 30 days. Return Stacked is related to or competes with Freedom Day, Franklin Templeton, IShares MSCI, Tidal Trust, IShares Dividend, Altrius Global, and Invesco Exchange. 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 Bonds upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.43) | |||
| Maximum Drawdown | 2.86 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 0.9651 |
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 | (0.15) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (1.72) |
Return Stacked Bonds Backtested Returns
Return Stacked Bonds maintains Sharpe Ratio (i.e., Efficiency) of -0.2, which implies the entity had a -0.2% return per unit of risk over the last 3 months. Return Stacked Bonds exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Return Stacked's Risk Adjusted Performance of (0.15), variance of 0.3088, and Coefficient Of Variation of (483.16) to confirm the risk estimate we provide. The etf holds a Beta of 0.0727, 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 | -0.36 |
Poor reverse predictability
Return Stacked Bonds has poor reverse predictability. Overlapping area represents the amount of predictability between Return Stacked time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 Return Stacked Bonds price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Return Stacked price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Return Stacked Bonds 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 Bonds.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Return Stacked Bonds offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Return Stacked's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Return Stacked Bonds Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Return Stacked Bonds 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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.